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You searched for subject:(Automatic speech recognition Data processing). Showing records 1 – 30 of 69932 total matches.

[1] [2] [3] [4] [5] … [2332]

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Hong Kong University of Science and Technology

1. Ko, Yu Ting. Phone deletion modeling in speech recognition.

Degree: 2010, Hong Kong University of Science and Technology

 In a paper published by Greenberg in 1998, it was said that in conversational speech, phone deletion rate may go as high as 12%. On… (more)

Subjects/Keywords: Automatic speech recognition; Phonetics, Acoustic  – Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ko, Y. T. (2010). Phone deletion modeling in speech recognition. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1114779 ; http://repository.ust.hk/ir/bitstream/1783.1-6942/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ko, Yu Ting. “Phone deletion modeling in speech recognition.” 2010. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b1114779 ; http://repository.ust.hk/ir/bitstream/1783.1-6942/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ko, Yu Ting. “Phone deletion modeling in speech recognition.” 2010. Web. 18 Oct 2019.

Vancouver:

Ko YT. Phone deletion modeling in speech recognition. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b1114779 ; http://repository.ust.hk/ir/bitstream/1783.1-6942/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ko YT. Phone deletion modeling in speech recognition. [Thesis]. Hong Kong University of Science and Technology; 2010. Available from: https://doi.org/10.14711/thesis-b1114779 ; http://repository.ust.hk/ir/bitstream/1783.1-6942/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

2. Ko, Yu Ting. Distinct acoustic modeling for automatic speech recognition.

Degree: 2014, Hong Kong University of Science and Technology

 In triphone-based acoustic modeling, it is difficult to robustly model infrequent triphones due to their lack of training samples. Naive maximum-likelihood (ML) estimation of infrequent… (more)

Subjects/Keywords: Automatic speech recognition; Phonetics, Acoustic; Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ko, Y. T. (2014). Distinct acoustic modeling for automatic speech recognition. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1301519 ; http://repository.ust.hk/ir/bitstream/1783.1-63070/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ko, Yu Ting. “Distinct acoustic modeling for automatic speech recognition.” 2014. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b1301519 ; http://repository.ust.hk/ir/bitstream/1783.1-63070/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ko, Yu Ting. “Distinct acoustic modeling for automatic speech recognition.” 2014. Web. 18 Oct 2019.

Vancouver:

Ko YT. Distinct acoustic modeling for automatic speech recognition. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2014. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b1301519 ; http://repository.ust.hk/ir/bitstream/1783.1-63070/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ko YT. Distinct acoustic modeling for automatic speech recognition. [Thesis]. Hong Kong University of Science and Technology; 2014. Available from: https://doi.org/10.14711/thesis-b1301519 ; http://repository.ust.hk/ir/bitstream/1783.1-63070/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina – Greensboro

3. Wendell, Tyler James. Feature extraction and feature reduction for spoken letter recognition.

Degree: 2016, University of North Carolina – Greensboro

 The complexity of finding the relevant features for the classification of spoken letters is due to the phonetic similarities between letters and their high dimensionality.… (more)

Subjects/Keywords: Automatic speech recognition – Data processing; Speech processing systems; Human-computer interaction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wendell, T. J. (2016). Feature extraction and feature reduction for spoken letter recognition. (Masters Thesis). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=19822

Chicago Manual of Style (16th Edition):

Wendell, Tyler James. “Feature extraction and feature reduction for spoken letter recognition.” 2016. Masters Thesis, University of North Carolina – Greensboro. Accessed October 18, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=19822.

MLA Handbook (7th Edition):

Wendell, Tyler James. “Feature extraction and feature reduction for spoken letter recognition.” 2016. Web. 18 Oct 2019.

Vancouver:

Wendell TJ. Feature extraction and feature reduction for spoken letter recognition. [Internet] [Masters thesis]. University of North Carolina – Greensboro; 2016. [cited 2019 Oct 18]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=19822.

Council of Science Editors:

Wendell TJ. Feature extraction and feature reduction for spoken letter recognition. [Masters Thesis]. University of North Carolina – Greensboro; 2016. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=19822


Hong Kong University of Science and Technology

4. Dey, Anik. Acoustic modeling for Hindi speech recognition under low resource conditions.

Degree: 2014, Hong Kong University of Science and Technology

 We show for the first time how to use a multilingual acoustic modeling approach for Hindi speech recognition under low resource conditions using deep neural… (more)

Subjects/Keywords: Automatic speech recognition; Phonetics, Acoustic; Data processing; Hindi language

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dey, A. (2014). Acoustic modeling for Hindi speech recognition under low resource conditions. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1347268 ; http://repository.ust.hk/ir/bitstream/1783.1-71876/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dey, Anik. “Acoustic modeling for Hindi speech recognition under low resource conditions.” 2014. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b1347268 ; http://repository.ust.hk/ir/bitstream/1783.1-71876/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dey, Anik. “Acoustic modeling for Hindi speech recognition under low resource conditions.” 2014. Web. 18 Oct 2019.

Vancouver:

Dey A. Acoustic modeling for Hindi speech recognition under low resource conditions. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2014. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b1347268 ; http://repository.ust.hk/ir/bitstream/1783.1-71876/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dey A. Acoustic modeling for Hindi speech recognition under low resource conditions. [Thesis]. Hong Kong University of Science and Technology; 2014. Available from: https://doi.org/10.14711/thesis-b1347268 ; http://repository.ust.hk/ir/bitstream/1783.1-71876/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

5. Ye, Guoli. The use of discrete distributions with a very large codebook for automatic speech recognition and speaker verification.

Degree: 2013, Hong Kong University of Science and Technology

 With the advance of semiconductor technology and the popularity of distributed speech/speaker recognition paradigm (e.g., Siri in iPhone4s), here we revisit the use of discrete… (more)

Subjects/Keywords: Automatic speech recognition; Markov processes; Information storage and retrieval systems; Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ye, G. (2013). The use of discrete distributions with a very large codebook for automatic speech recognition and speaker verification. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1213370 ; http://repository.ust.hk/ir/bitstream/1783.1-7887/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ye, Guoli. “The use of discrete distributions with a very large codebook for automatic speech recognition and speaker verification.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b1213370 ; http://repository.ust.hk/ir/bitstream/1783.1-7887/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ye, Guoli. “The use of discrete distributions with a very large codebook for automatic speech recognition and speaker verification.” 2013. Web. 18 Oct 2019.

Vancouver:

Ye G. The use of discrete distributions with a very large codebook for automatic speech recognition and speaker verification. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b1213370 ; http://repository.ust.hk/ir/bitstream/1783.1-7887/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ye G. The use of discrete distributions with a very large codebook for automatic speech recognition and speaker verification. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: https://doi.org/10.14711/thesis-b1213370 ; http://repository.ust.hk/ir/bitstream/1783.1-7887/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Massey University

6. Han, Xiao. Gesture and voice control of internet of things.

Degree: M. Eng., Electronics and Computer Engineering, 2015, Massey University

 Nowadays, people's life has been remarkably changed with various intelligent devices which can provide more and more convenient communication with people and with each other.… (more)

Subjects/Keywords: Automatic speech recognition; Optical data processing; Human-computer interaction; Internet of things

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APA (6th Edition):

Han, X. (2015). Gesture and voice control of internet of things. (Masters Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/7580

Chicago Manual of Style (16th Edition):

Han, Xiao. “Gesture and voice control of internet of things.” 2015. Masters Thesis, Massey University. Accessed October 18, 2019. http://hdl.handle.net/10179/7580.

MLA Handbook (7th Edition):

Han, Xiao. “Gesture and voice control of internet of things.” 2015. Web. 18 Oct 2019.

Vancouver:

Han X. Gesture and voice control of internet of things. [Internet] [Masters thesis]. Massey University; 2015. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10179/7580.

Council of Science Editors:

Han X. Gesture and voice control of internet of things. [Masters Thesis]. Massey University; 2015. Available from: http://hdl.handle.net/10179/7580


UCLA

7. Kaewtip, Kantapon. Robust Automatic Recognition of Birdsongs and Human Speech: a Template-Based Approach.

Degree: Electrical Engineering, 2017, UCLA

 This dissertation focuses on robust signal processing algorithms for birdsongs and speech signals. Automatic phrase or syllable detection systems of bird sounds are useful in… (more)

Subjects/Keywords: Electrical engineering; Automatic Speech Recognition (ASR); Bird song; limited data; noise-robust; Speech Processing; template-based

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kaewtip, K. (2017). Robust Automatic Recognition of Birdsongs and Human Speech: a Template-Based Approach. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/1jg3d8z6

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kaewtip, Kantapon. “Robust Automatic Recognition of Birdsongs and Human Speech: a Template-Based Approach.” 2017. Thesis, UCLA. Accessed October 18, 2019. http://www.escholarship.org/uc/item/1jg3d8z6.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kaewtip, Kantapon. “Robust Automatic Recognition of Birdsongs and Human Speech: a Template-Based Approach.” 2017. Web. 18 Oct 2019.

Vancouver:

Kaewtip K. Robust Automatic Recognition of Birdsongs and Human Speech: a Template-Based Approach. [Internet] [Thesis]. UCLA; 2017. [cited 2019 Oct 18]. Available from: http://www.escholarship.org/uc/item/1jg3d8z6.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaewtip K. Robust Automatic Recognition of Birdsongs and Human Speech: a Template-Based Approach. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/1jg3d8z6

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Western Australia

8. Toh, Aik Ming. Robust speech features for speech recognition in hostile environments.

Degree: PhD, 2007, University of Western Australia

Speech recognition systems have improved in robustness in recent years with respect to both speaker and acoustical variability. Nevertheless, it is still a challenge to… (more)

Subjects/Keywords: Automatic speech recognition; Noise control; Speech processing systems; Robust speech features; Speech recognition; Noisy environments; Speech processing

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APA (6th Edition):

Toh, A. M. (2007). Robust speech features for speech recognition in hostile environments. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=10216&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Toh, Aik Ming. “Robust speech features for speech recognition in hostile environments.” 2007. Doctoral Dissertation, University of Western Australia. Accessed October 18, 2019. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=10216&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Toh, Aik Ming. “Robust speech features for speech recognition in hostile environments.” 2007. Web. 18 Oct 2019.

Vancouver:

Toh AM. Robust speech features for speech recognition in hostile environments. [Internet] [Doctoral dissertation]. University of Western Australia; 2007. [cited 2019 Oct 18]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=10216&local_base=GEN01-INS01.

Council of Science Editors:

Toh AM. Robust speech features for speech recognition in hostile environments. [Doctoral Dissertation]. University of Western Australia; 2007. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=10216&local_base=GEN01-INS01


Stellenbosch University

9. Brummer, Niko. Measuring, refining and calibrating speaker and language information extracted from speech.

Degree: Electrical and Electronic Engineering, 2010, Stellenbosch University

Thesis (PhD (Electrical and Electronic Engineering)) – University of Stellenbosch, 2010.

ENGLISH ABSTRACT: We propose a new methodology, based on proper scoring rules, for the evaluation… (more)

Subjects/Keywords: Electronic engineering; Automatic speech recognition; Speech processing systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Brummer, N. (2010). Measuring, refining and calibrating speaker and language information extracted from speech. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/5139

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Brummer, Niko. “Measuring, refining and calibrating speaker and language information extracted from speech.” 2010. Thesis, Stellenbosch University. Accessed October 18, 2019. http://hdl.handle.net/10019.1/5139.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Brummer, Niko. “Measuring, refining and calibrating speaker and language information extracted from speech.” 2010. Web. 18 Oct 2019.

Vancouver:

Brummer N. Measuring, refining and calibrating speaker and language information extracted from speech. [Internet] [Thesis]. Stellenbosch University; 2010. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10019.1/5139.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brummer N. Measuring, refining and calibrating speaker and language information extracted from speech. [Thesis]. Stellenbosch University; 2010. Available from: http://hdl.handle.net/10019.1/5139

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Hong Kong

10. Ho, Man-chung. A recognizer of Guangdonghua: development of speech controlled telephone directory system.

Degree: M. Phil., 1999, University of Hong Kong

published_or_final_version

Computer Science and Information Systems

Master

Master of Philosophy

Subjects/Keywords: Automatic speech recognition.; Telephone - Directories - Data processing.; Cantonese dialects.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ho, M. (1999). A recognizer of Guangdonghua: development of speech controlled telephone directory system. (Masters Thesis). University of Hong Kong. Retrieved from Ho, M. [何敏聰]. (1999). A recognizer of Guangdonghua : development of speech controlled telephone directory system. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122090 ; http://dx.doi.org/10.5353/th_b3122090 ; http://hdl.handle.net/10722/33842

Chicago Manual of Style (16th Edition):

Ho, Man-chung. “A recognizer of Guangdonghua: development of speech controlled telephone directory system.” 1999. Masters Thesis, University of Hong Kong. Accessed October 18, 2019. Ho, M. [何敏聰]. (1999). A recognizer of Guangdonghua : development of speech controlled telephone directory system. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122090 ; http://dx.doi.org/10.5353/th_b3122090 ; http://hdl.handle.net/10722/33842.

MLA Handbook (7th Edition):

Ho, Man-chung. “A recognizer of Guangdonghua: development of speech controlled telephone directory system.” 1999. Web. 18 Oct 2019.

Vancouver:

Ho M. A recognizer of Guangdonghua: development of speech controlled telephone directory system. [Internet] [Masters thesis]. University of Hong Kong; 1999. [cited 2019 Oct 18]. Available from: Ho, M. [何敏聰]. (1999). A recognizer of Guangdonghua : development of speech controlled telephone directory system. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122090 ; http://dx.doi.org/10.5353/th_b3122090 ; http://hdl.handle.net/10722/33842.

Council of Science Editors:

Ho M. A recognizer of Guangdonghua: development of speech controlled telephone directory system. [Masters Thesis]. University of Hong Kong; 1999. Available from: Ho, M. [何敏聰]. (1999). A recognizer of Guangdonghua : development of speech controlled telephone directory system. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122090 ; http://dx.doi.org/10.5353/th_b3122090 ; http://hdl.handle.net/10722/33842


University of Hong Kong

11. 馬斌; Ma, Bin. A study on acoustic modeling and adaptation in HMM-based speech recognition.

Degree: PhD, 2000, University of Hong Kong

published_or_final_version

Computer Science and Information Systems

Doctoral

Doctor of Philosophy

Subjects/Keywords: Mandarin dialects - Data processing.; Markov processes.; Automatic speech recognition.

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APA (6th Edition):

馬斌; Ma, B. (2000). A study on acoustic modeling and adaptation in HMM-based speech recognition. (Doctoral Dissertation). University of Hong Kong. Retrieved from Ma, B. [馬斌]. (2000). A study on acoustic modeling and adaptation in HMM-based speech recognition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3124214 ; http://dx.doi.org/10.5353/th_b3124214 ; http://hdl.handle.net/10722/35532

Chicago Manual of Style (16th Edition):

馬斌; Ma, Bin. “A study on acoustic modeling and adaptation in HMM-based speech recognition.” 2000. Doctoral Dissertation, University of Hong Kong. Accessed October 18, 2019. Ma, B. [馬斌]. (2000). A study on acoustic modeling and adaptation in HMM-based speech recognition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3124214 ; http://dx.doi.org/10.5353/th_b3124214 ; http://hdl.handle.net/10722/35532.

MLA Handbook (7th Edition):

馬斌; Ma, Bin. “A study on acoustic modeling and adaptation in HMM-based speech recognition.” 2000. Web. 18 Oct 2019.

Vancouver:

馬斌; Ma B. A study on acoustic modeling and adaptation in HMM-based speech recognition. [Internet] [Doctoral dissertation]. University of Hong Kong; 2000. [cited 2019 Oct 18]. Available from: Ma, B. [馬斌]. (2000). A study on acoustic modeling and adaptation in HMM-based speech recognition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3124214 ; http://dx.doi.org/10.5353/th_b3124214 ; http://hdl.handle.net/10722/35532.

Council of Science Editors:

馬斌; Ma B. A study on acoustic modeling and adaptation in HMM-based speech recognition. [Doctoral Dissertation]. University of Hong Kong; 2000. Available from: Ma, B. [馬斌]. (2000). A study on acoustic modeling and adaptation in HMM-based speech recognition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3124214 ; http://dx.doi.org/10.5353/th_b3124214 ; http://hdl.handle.net/10722/35532


Michigan State University

12. Chiu, Chuang-Chien. Large-vocabulary continuous-speech recognition using partitioned graph search.

Degree: PhD, Department of Electrical Engineering, 1993, Michigan State University

Subjects/Keywords: Automatic speech recognition; Search theory; Graph theory – Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chiu, C. (1993). Large-vocabulary continuous-speech recognition using partitioned graph search. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:29203

Chicago Manual of Style (16th Edition):

Chiu, Chuang-Chien. “Large-vocabulary continuous-speech recognition using partitioned graph search.” 1993. Doctoral Dissertation, Michigan State University. Accessed October 18, 2019. http://etd.lib.msu.edu/islandora/object/etd:29203.

MLA Handbook (7th Edition):

Chiu, Chuang-Chien. “Large-vocabulary continuous-speech recognition using partitioned graph search.” 1993. Web. 18 Oct 2019.

Vancouver:

Chiu C. Large-vocabulary continuous-speech recognition using partitioned graph search. [Internet] [Doctoral dissertation]. Michigan State University; 1993. [cited 2019 Oct 18]. Available from: http://etd.lib.msu.edu/islandora/object/etd:29203.

Council of Science Editors:

Chiu C. Large-vocabulary continuous-speech recognition using partitioned graph search. [Doctoral Dissertation]. Michigan State University; 1993. Available from: http://etd.lib.msu.edu/islandora/object/etd:29203


Hong Kong University of Science and Technology

13. Liu, Yi. Pronunciation modeling for spontaneous mandarin speech recognition.

Degree: 2002, Hong Kong University of Science and Technology

 The focus in automatic speech recognition (ASR) research has gradually shifted from read speech to spontaneous speech. ASR systems can reach an accuracy of above… (more)

Subjects/Keywords: Automatic speech recognition; Speech processing systems; Chinese language  – Data processing

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APA (6th Edition):

Liu, Y. (2002). Pronunciation modeling for spontaneous mandarin speech recognition. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b775795 ; http://repository.ust.hk/ir/bitstream/1783.1-570/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Yi. “Pronunciation modeling for spontaneous mandarin speech recognition.” 2002. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b775795 ; http://repository.ust.hk/ir/bitstream/1783.1-570/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Yi. “Pronunciation modeling for spontaneous mandarin speech recognition.” 2002. Web. 18 Oct 2019.

Vancouver:

Liu Y. Pronunciation modeling for spontaneous mandarin speech recognition. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2002. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b775795 ; http://repository.ust.hk/ir/bitstream/1783.1-570/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu Y. Pronunciation modeling for spontaneous mandarin speech recognition. [Thesis]. Hong Kong University of Science and Technology; 2002. Available from: https://doi.org/10.14711/thesis-b775795 ; http://repository.ust.hk/ir/bitstream/1783.1-570/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

14. Ng, Kwong Tim. Exploring Chinese linguistic characteristics for speech recognition.

Degree: 2005, Hong Kong University of Science and Technology

 During the past decades, automatic speech recognition technology has been applied in different commercial sectors around the world, including China. However, Chinese speech recognition systems… (more)

Subjects/Keywords: Automatic speech recognition; Speech processing systems; Chinese language  – Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ng, K. T. (2005). Exploring Chinese linguistic characteristics for speech recognition. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b917841 ; http://repository.ust.hk/ir/bitstream/1783.1-4745/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ng, Kwong Tim. “Exploring Chinese linguistic characteristics for speech recognition.” 2005. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b917841 ; http://repository.ust.hk/ir/bitstream/1783.1-4745/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ng, Kwong Tim. “Exploring Chinese linguistic characteristics for speech recognition.” 2005. Web. 18 Oct 2019.

Vancouver:

Ng KT. Exploring Chinese linguistic characteristics for speech recognition. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2005. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b917841 ; http://repository.ust.hk/ir/bitstream/1783.1-4745/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ng KT. Exploring Chinese linguistic characteristics for speech recognition. [Thesis]. Hong Kong University of Science and Technology; 2005. Available from: https://doi.org/10.14711/thesis-b917841 ; http://repository.ust.hk/ir/bitstream/1783.1-4745/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ryerson University

15. Joshi, Neil. Optimal generative and discriminative acoustic model training for speech recognition.

Degree: 2009, Ryerson University

 The focus of this dissertation is to derive and demonstrate effective stochastic models for the speech recognition problem. Acoustic modeling for speech recognition typically involves… (more)

Subjects/Keywords: Speech processing systems; Speech perception; Automatic speech recognition; Acoustic models; Stochastic models; Markov processes

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Joshi, N. (2009). Optimal generative and discriminative acoustic model training for speech recognition. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Joshi, Neil. “Optimal generative and discriminative acoustic model training for speech recognition.” 2009. Thesis, Ryerson University. Accessed October 18, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A1424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Joshi, Neil. “Optimal generative and discriminative acoustic model training for speech recognition.” 2009. Web. 18 Oct 2019.

Vancouver:

Joshi N. Optimal generative and discriminative acoustic model training for speech recognition. [Internet] [Thesis]. Ryerson University; 2009. [cited 2019 Oct 18]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Joshi N. Optimal generative and discriminative acoustic model training for speech recognition. [Thesis]. Ryerson University; 2009. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

16. Tam, Yik-cheung. Development of an asynchronous multi-band system for continuous speech recognition.

Degree: 2001, Hong Kong University of Science and Technology

 Recently, multi-band automatic speech recognition (MBASR) has been proposed by Bourlard et al. and Hermansky et al. to improve robustness under noisy environment. It is… (more)

Subjects/Keywords: Automatic speech recognition; Signal processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tam, Y. (2001). Development of an asynchronous multi-band system for continuous speech recognition. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b706547 ; http://repository.ust.hk/ir/bitstream/1783.1-5714/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tam, Yik-cheung. “Development of an asynchronous multi-band system for continuous speech recognition.” 2001. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b706547 ; http://repository.ust.hk/ir/bitstream/1783.1-5714/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tam, Yik-cheung. “Development of an asynchronous multi-band system for continuous speech recognition.” 2001. Web. 18 Oct 2019.

Vancouver:

Tam Y. Development of an asynchronous multi-band system for continuous speech recognition. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2001. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b706547 ; http://repository.ust.hk/ir/bitstream/1783.1-5714/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tam Y. Development of an asynchronous multi-band system for continuous speech recognition. [Thesis]. Hong Kong University of Science and Technology; 2001. Available from: https://doi.org/10.14711/thesis-b706547 ; http://repository.ust.hk/ir/bitstream/1783.1-5714/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

17. Chan, Arthur Yu Chung. Robust speech recognition against unknown short-time noise.

Degree: 2002, Hong Kong University of Science and Technology

 The performance of automatic speech recognition (ASR) is known to degrade under noise corruption. Such means of corruption include additive noises such as air-conditioning noise,… (more)

Subjects/Keywords: Automatic speech recognition; Signal processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chan, A. Y. C. (2002). Robust speech recognition against unknown short-time noise. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b775112 ; http://repository.ust.hk/ir/bitstream/1783.1-4637/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chan, Arthur Yu Chung. “Robust speech recognition against unknown short-time noise.” 2002. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b775112 ; http://repository.ust.hk/ir/bitstream/1783.1-4637/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chan, Arthur Yu Chung. “Robust speech recognition against unknown short-time noise.” 2002. Web. 18 Oct 2019.

Vancouver:

Chan AYC. Robust speech recognition against unknown short-time noise. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2002. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b775112 ; http://repository.ust.hk/ir/bitstream/1783.1-4637/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chan AYC. Robust speech recognition against unknown short-time noise. [Thesis]. Hong Kong University of Science and Technology; 2002. Available from: https://doi.org/10.14711/thesis-b775112 ; http://repository.ust.hk/ir/bitstream/1783.1-4637/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

18. Zhang, Jian. Extractive speech summarization using structural modeling.

Degree: 2011, Hong Kong University of Science and Technology

 In this dissertation, we propose a new rhetorical structure modeling approach as a critical step in the understanding of extractive summarization of spoken documents. Previous… (more)

Subjects/Keywords: Automatic speech recognition; Natural language processing (Computer science)

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APA (6th Edition):

Zhang, J. (2011). Extractive speech summarization using structural modeling. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1155523 ; http://repository.ust.hk/ir/bitstream/1783.1-7330/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Jian. “Extractive speech summarization using structural modeling.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b1155523 ; http://repository.ust.hk/ir/bitstream/1783.1-7330/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Jian. “Extractive speech summarization using structural modeling.” 2011. Web. 18 Oct 2019.

Vancouver:

Zhang J. Extractive speech summarization using structural modeling. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b1155523 ; http://repository.ust.hk/ir/bitstream/1783.1-7330/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang J. Extractive speech summarization using structural modeling. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: https://doi.org/10.14711/thesis-b1155523 ; http://repository.ust.hk/ir/bitstream/1783.1-7330/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

19. Wong, Shuen Kong. Channel and noise adaptation via HMM mixture mean transform and stochastic matching.

Degree: 1998, Hong Kong University of Science and Technology

Automatic speech recognition is very sensitive to mismatch between training and testing condition, eg, differences in background noise level and data acquisition equipment. The recognition(more)

Subjects/Keywords: Automatic speech recognition; Signal processing

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APA (6th Edition):

Wong, S. K. (1998). Channel and noise adaptation via HMM mixture mean transform and stochastic matching. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b603897 ; http://repository.ust.hk/ir/bitstream/1783.1-4484/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wong, Shuen Kong. “Channel and noise adaptation via HMM mixture mean transform and stochastic matching.” 1998. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b603897 ; http://repository.ust.hk/ir/bitstream/1783.1-4484/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wong, Shuen Kong. “Channel and noise adaptation via HMM mixture mean transform and stochastic matching.” 1998. Web. 18 Oct 2019.

Vancouver:

Wong SK. Channel and noise adaptation via HMM mixture mean transform and stochastic matching. [Internet] [Thesis]. Hong Kong University of Science and Technology; 1998. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b603897 ; http://repository.ust.hk/ir/bitstream/1783.1-4484/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wong SK. Channel and noise adaptation via HMM mixture mean transform and stochastic matching. [Thesis]. Hong Kong University of Science and Technology; 1998. Available from: https://doi.org/10.14711/thesis-b603897 ; http://repository.ust.hk/ir/bitstream/1783.1-4484/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

20. Wang, Linlin ECE. Disfluency detection and reconstruction of spontaneous speech transcripts.

Degree: 2016, Hong Kong University of Science and Technology

 Disfluencies in spoken language remain a challenge to both language processing applications and human perception. Disfluency identification and removal are therefore beneficial steps to improve… (more)

Subjects/Keywords: Automatic speech recognition; Natural language processing (Computer science)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, L. E. (2016). Disfluency detection and reconstruction of spontaneous speech transcripts. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1626114 ; http://repository.ust.hk/ir/bitstream/1783.1-93204/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Linlin ECE. “Disfluency detection and reconstruction of spontaneous speech transcripts.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b1626114 ; http://repository.ust.hk/ir/bitstream/1783.1-93204/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Linlin ECE. “Disfluency detection and reconstruction of spontaneous speech transcripts.” 2016. Web. 18 Oct 2019.

Vancouver:

Wang LE. Disfluency detection and reconstruction of spontaneous speech transcripts. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b1626114 ; http://repository.ust.hk/ir/bitstream/1783.1-93204/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang LE. Disfluency detection and reconstruction of spontaneous speech transcripts. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: https://doi.org/10.14711/thesis-b1626114 ; http://repository.ust.hk/ir/bitstream/1783.1-93204/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

21. Suryanarayana, Venkata K. Spectro-Temporal Features For Robust Automatic Speech Recognition.

Degree: 2009, Indian Institute of Science

 The speech signal is inherently characterized by its variations in time, which get reflected as variations in frequency. The specto temporal changes are due to… (more)

Subjects/Keywords: Speech Processing (Artificial Intelligence); Speech Recognition; Speech Signal Processing; Automatic Speech Recognition (ASR); Robust Speech Recognition; Amplitude Modulated (AM) And Frequency Modulated (FM) Modeling; AM-FM Modeling; Computer Science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Suryanarayana, V. K. (2009). Spectro-Temporal Features For Robust Automatic Speech Recognition. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/1007

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Suryanarayana, Venkata K. “Spectro-Temporal Features For Robust Automatic Speech Recognition.” 2009. Thesis, Indian Institute of Science. Accessed October 18, 2019. http://hdl.handle.net/2005/1007.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Suryanarayana, Venkata K. “Spectro-Temporal Features For Robust Automatic Speech Recognition.” 2009. Web. 18 Oct 2019.

Vancouver:

Suryanarayana VK. Spectro-Temporal Features For Robust Automatic Speech Recognition. [Internet] [Thesis]. Indian Institute of Science; 2009. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2005/1007.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Suryanarayana VK. Spectro-Temporal Features For Robust Automatic Speech Recognition. [Thesis]. Indian Institute of Science; 2009. Available from: http://hdl.handle.net/2005/1007

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Durban University of Technology

22. Moonasar, Viresh. Hardware implementation of an automatic speaker recognition system using artificial neural networks.

Degree: 2002, Durban University of Technology

Submitted in fulfillment of the academic requirements for the degree of Master of Technology in Electrical Engineering in the Department of Electronic Engineering, Faculty of… (more)

Subjects/Keywords: Automatic speech recognition; Speech processing systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Moonasar, V. (2002). Hardware implementation of an automatic speaker recognition system using artificial neural networks. (Thesis). Durban University of Technology. Retrieved from http://hdl.handle.net/10321/2714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Moonasar, Viresh. “Hardware implementation of an automatic speaker recognition system using artificial neural networks.” 2002. Thesis, Durban University of Technology. Accessed October 18, 2019. http://hdl.handle.net/10321/2714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Moonasar, Viresh. “Hardware implementation of an automatic speaker recognition system using artificial neural networks.” 2002. Web. 18 Oct 2019.

Vancouver:

Moonasar V. Hardware implementation of an automatic speaker recognition system using artificial neural networks. [Internet] [Thesis]. Durban University of Technology; 2002. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10321/2714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moonasar V. Hardware implementation of an automatic speaker recognition system using artificial neural networks. [Thesis]. Durban University of Technology; 2002. Available from: http://hdl.handle.net/10321/2714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. Adami, Andre Gustavo. Modeling prosodic differences for speaker and language recognition.

Degree: PhD, 2004, Oregon Health Sciences University

Subjects/Keywords: Automatic speech recognition; Speech processing systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Adami, A. G. (2004). Modeling prosodic differences for speaker and language recognition. (Doctoral Dissertation). Oregon Health Sciences University. Retrieved from doi:10.6083/M4NP22C4 ; http://digitalcommons.ohsu.edu/etd/18

Chicago Manual of Style (16th Edition):

Adami, Andre Gustavo. “Modeling prosodic differences for speaker and language recognition.” 2004. Doctoral Dissertation, Oregon Health Sciences University. Accessed October 18, 2019. doi:10.6083/M4NP22C4 ; http://digitalcommons.ohsu.edu/etd/18.

MLA Handbook (7th Edition):

Adami, Andre Gustavo. “Modeling prosodic differences for speaker and language recognition.” 2004. Web. 18 Oct 2019.

Vancouver:

Adami AG. Modeling prosodic differences for speaker and language recognition. [Internet] [Doctoral dissertation]. Oregon Health Sciences University; 2004. [cited 2019 Oct 18]. Available from: doi:10.6083/M4NP22C4 ; http://digitalcommons.ohsu.edu/etd/18.

Council of Science Editors:

Adami AG. Modeling prosodic differences for speaker and language recognition. [Doctoral Dissertation]. Oregon Health Sciences University; 2004. Available from: doi:10.6083/M4NP22C4 ; http://digitalcommons.ohsu.edu/etd/18

24. Hu, Zhihong. Understanding and adapting to speaker variability using correlation-based principal component analysis.

Degree: PhD, 1999, Oregon Health Sciences University

Subjects/Keywords: Automatic speech recognition; Speech processing systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hu, Z. (1999). Understanding and adapting to speaker variability using correlation-based principal component analysis. (Doctoral Dissertation). Oregon Health Sciences University. Retrieved from doi:10.6083/M46Q1VFG ; http://digitalcommons.ohsu.edu/etd/2537

Chicago Manual of Style (16th Edition):

Hu, Zhihong. “Understanding and adapting to speaker variability using correlation-based principal component analysis.” 1999. Doctoral Dissertation, Oregon Health Sciences University. Accessed October 18, 2019. doi:10.6083/M46Q1VFG ; http://digitalcommons.ohsu.edu/etd/2537.

MLA Handbook (7th Edition):

Hu, Zhihong. “Understanding and adapting to speaker variability using correlation-based principal component analysis.” 1999. Web. 18 Oct 2019.

Vancouver:

Hu Z. Understanding and adapting to speaker variability using correlation-based principal component analysis. [Internet] [Doctoral dissertation]. Oregon Health Sciences University; 1999. [cited 2019 Oct 18]. Available from: doi:10.6083/M46Q1VFG ; http://digitalcommons.ohsu.edu/etd/2537.

Council of Science Editors:

Hu Z. Understanding and adapting to speaker variability using correlation-based principal component analysis. [Doctoral Dissertation]. Oregon Health Sciences University; 1999. Available from: doi:10.6083/M46Q1VFG ; http://digitalcommons.ohsu.edu/etd/2537


Cape Peninsula University of Technology

25. Van der Walt, Craig. An investigation into the practical implementation of speech recognition for data capturing .

Degree: 1993, Cape Peninsula University of Technology

 A study into the practical implementation of Speech Recognition for the purposes of Data Capturing within Telkom SA. is described. As datacapturing is increasing in… (more)

Subjects/Keywords: Automatic speech recognition; Speech processing systems

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APA (6th Edition):

Van der Walt, C. (1993). An investigation into the practical implementation of speech recognition for data capturing . (Thesis). Cape Peninsula University of Technology. Retrieved from http://etd.cput.ac.za/handle/20.500.11838/1156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Van der Walt, Craig. “An investigation into the practical implementation of speech recognition for data capturing .” 1993. Thesis, Cape Peninsula University of Technology. Accessed October 18, 2019. http://etd.cput.ac.za/handle/20.500.11838/1156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Van der Walt, Craig. “An investigation into the practical implementation of speech recognition for data capturing .” 1993. Web. 18 Oct 2019.

Vancouver:

Van der Walt C. An investigation into the practical implementation of speech recognition for data capturing . [Internet] [Thesis]. Cape Peninsula University of Technology; 1993. [cited 2019 Oct 18]. Available from: http://etd.cput.ac.za/handle/20.500.11838/1156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Van der Walt C. An investigation into the practical implementation of speech recognition for data capturing . [Thesis]. Cape Peninsula University of Technology; 1993. Available from: http://etd.cput.ac.za/handle/20.500.11838/1156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

26. Li, Chak Fai. Improved polynomial segment model for speech recognition.

Degree: 2004, Hong Kong University of Science and Technology

 While the hidden Markov models (HMM) are the most commonly used models in the field of continuous speech recognition, their weaknesses, such as poor modeling… (more)

Subjects/Keywords: Automatic speech recognition; Speech processing systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, C. F. (2004). Improved polynomial segment model for speech recognition. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b818955 ; http://repository.ust.hk/ir/bitstream/1783.1-4694/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Chak Fai. “Improved polynomial segment model for speech recognition.” 2004. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b818955 ; http://repository.ust.hk/ir/bitstream/1783.1-4694/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Chak Fai. “Improved polynomial segment model for speech recognition.” 2004. Web. 18 Oct 2019.

Vancouver:

Li CF. Improved polynomial segment model for speech recognition. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2004. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b818955 ; http://repository.ust.hk/ir/bitstream/1783.1-4694/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li CF. Improved polynomial segment model for speech recognition. [Thesis]. Hong Kong University of Science and Technology; 2004. Available from: https://doi.org/10.14711/thesis-b818955 ; http://repository.ust.hk/ir/bitstream/1783.1-4694/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

27. Chau, Chun Keung. A model-based approach to vocal tract length normalization.

Degree: 2001, Hong Kong University of Science and Technology

 We describe an architecture for speech recognition based interactive toys and discuss a strategy we have adopted to deal with the fact that the speech(more)

Subjects/Keywords: Automatic speech recognition; Speech processing systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chau, C. K. (2001). A model-based approach to vocal tract length normalization. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b712907 ; http://repository.ust.hk/ir/bitstream/1783.1-4599/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chau, Chun Keung. “A model-based approach to vocal tract length normalization.” 2001. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b712907 ; http://repository.ust.hk/ir/bitstream/1783.1-4599/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chau, Chun Keung. “A model-based approach to vocal tract length normalization.” 2001. Web. 18 Oct 2019.

Vancouver:

Chau CK. A model-based approach to vocal tract length normalization. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2001. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b712907 ; http://repository.ust.hk/ir/bitstream/1783.1-4599/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chau CK. A model-based approach to vocal tract length normalization. [Thesis]. Hong Kong University of Science and Technology; 2001. Available from: https://doi.org/10.14711/thesis-b712907 ; http://repository.ust.hk/ir/bitstream/1783.1-4599/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

28. Cheng, Edward Y.C. Context-free grammars and pushdown automata over infinite alphabets.

Degree: 1994, Hong Kong University of Science and Technology

Context-free grammars and pushdown automata over infinite alphabets are defined. They are natural extensions of the classical ones and possess all their properties.

Subjects/Keywords: Speech processing systems; Automatic speech recognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cheng, E. Y. C. (1994). Context-free grammars and pushdown automata over infinite alphabets. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b447462 ; http://repository.ust.hk/ir/bitstream/1783.1-5589/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cheng, Edward Y C. “Context-free grammars and pushdown automata over infinite alphabets.” 1994. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b447462 ; http://repository.ust.hk/ir/bitstream/1783.1-5589/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cheng, Edward Y C. “Context-free grammars and pushdown automata over infinite alphabets.” 1994. Web. 18 Oct 2019.

Vancouver:

Cheng EYC. Context-free grammars and pushdown automata over infinite alphabets. [Internet] [Thesis]. Hong Kong University of Science and Technology; 1994. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b447462 ; http://repository.ust.hk/ir/bitstream/1783.1-5589/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cheng EYC. Context-free grammars and pushdown automata over infinite alphabets. [Thesis]. Hong Kong University of Science and Technology; 1994. Available from: https://doi.org/10.14711/thesis-b447462 ; http://repository.ust.hk/ir/bitstream/1783.1-5589/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

29. Lam, Ying Fung. Cantonese tone recognition using the Hilbert-Huang transform.

Degree: 2014, Hong Kong University of Science and Technology

 Cantonese is a very popular spoken language/dialect, which is well known for its rich set of nine tones and the similarity in tone contours between… (more)

Subjects/Keywords: Automatic speech recognition; Mathematical models; Speech processing systems; Hilbert-Huang transform; Cantonese dialects; Tone

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lam, Y. F. (2014). Cantonese tone recognition using the Hilbert-Huang transform. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1274216 ; http://repository.ust.hk/ir/bitstream/1783.1-62794/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lam, Ying Fung. “Cantonese tone recognition using the Hilbert-Huang transform.” 2014. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b1274216 ; http://repository.ust.hk/ir/bitstream/1783.1-62794/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lam, Ying Fung. “Cantonese tone recognition using the Hilbert-Huang transform.” 2014. Web. 18 Oct 2019.

Vancouver:

Lam YF. Cantonese tone recognition using the Hilbert-Huang transform. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2014. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b1274216 ; http://repository.ust.hk/ir/bitstream/1783.1-62794/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lam YF. Cantonese tone recognition using the Hilbert-Huang transform. [Thesis]. Hong Kong University of Science and Technology; 2014. Available from: https://doi.org/10.14711/thesis-b1274216 ; http://repository.ust.hk/ir/bitstream/1783.1-62794/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

30. Tsoi, Pang Kuen. Text-independent speaker identification and verification.

Degree: 2000, Hong Kong University of Science and Technology

Automatic speaker recognition is one of the major topics in the area of speech recognition. Speaker recognition is the general name for those technologies used… (more)

Subjects/Keywords: Automatic speech recognition; Speech processing systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tsoi, P. K. (2000). Text-independent speaker identification and verification. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b679863 ; http://repository.ust.hk/ir/bitstream/1783.1-4546/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tsoi, Pang Kuen. “Text-independent speaker identification and verification.” 2000. Thesis, Hong Kong University of Science and Technology. Accessed October 18, 2019. https://doi.org/10.14711/thesis-b679863 ; http://repository.ust.hk/ir/bitstream/1783.1-4546/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tsoi, Pang Kuen. “Text-independent speaker identification and verification.” 2000. Web. 18 Oct 2019.

Vancouver:

Tsoi PK. Text-independent speaker identification and verification. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2000. [cited 2019 Oct 18]. Available from: https://doi.org/10.14711/thesis-b679863 ; http://repository.ust.hk/ir/bitstream/1783.1-4546/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tsoi PK. Text-independent speaker identification and verification. [Thesis]. Hong Kong University of Science and Technology; 2000. Available from: https://doi.org/10.14711/thesis-b679863 ; http://repository.ust.hk/ir/bitstream/1783.1-4546/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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