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You searched for subject:(Automatic speech recognition). Showing records 1 – 30 of 378 total matches.

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University of Edinburgh

1. Lymperopoulou, Sofia. Pronunciation training with non-native automatic speech recognition.

Degree: 2006, University of Edinburgh

 In this thesis I investigate the way that automatic speech recognition can be best implemented so as to be smoothly integrated in the classes of… (more)

Subjects/Keywords: automatic speech recognition; linguistics

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

APA (6th Edition):

Lymperopoulou, S. (2006). Pronunciation training with non-native automatic speech recognition. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/2067

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):

Lymperopoulou, Sofia. “Pronunciation training with non-native automatic speech recognition.” 2006. Thesis, University of Edinburgh. Accessed March 24, 2019. http://hdl.handle.net/1842/2067.

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

MLA Handbook (7th Edition):

Lymperopoulou, Sofia. “Pronunciation training with non-native automatic speech recognition.” 2006. Web. 24 Mar 2019.

Vancouver:

Lymperopoulou S. Pronunciation training with non-native automatic speech recognition. [Internet] [Thesis]. University of Edinburgh; 2006. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/1842/2067.

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

Council of Science Editors:

Lymperopoulou S. Pronunciation training with non-native automatic speech recognition. [Thesis]. University of Edinburgh; 2006. Available from: http://hdl.handle.net/1842/2067

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. Zuo, Xin. A cross gender and cross lingual study of stress recognition in speech without linguistic features.

Degree: 2011, Hong Kong University of Science and Technology

 In this thesis, we design a common questionnaire of stress-inducing and non-stress-inducing questions in English, Mandarin and Cantonese and collect a first ever multilingual corpus… (more)

Subjects/Keywords: Automatic speech recognition; Stress (Psychology)

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APA (6th Edition):

Zuo, X. (2011). A cross gender and cross lingual study of stress recognition in speech without linguistic features. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1155586 ; http://repository.ust.hk/ir/bitstream/1783.1-7399/1/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):

Zuo, Xin. “A cross gender and cross lingual study of stress recognition in speech without linguistic features.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed March 24, 2019. https://doi.org/10.14711/thesis-b1155586 ; http://repository.ust.hk/ir/bitstream/1783.1-7399/1/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):

Zuo, Xin. “A cross gender and cross lingual study of stress recognition in speech without linguistic features.” 2011. Web. 24 Mar 2019.

Vancouver:

Zuo X. A cross gender and cross lingual study of stress recognition in speech without linguistic features. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2019 Mar 24]. Available from: https://doi.org/10.14711/thesis-b1155586 ; http://repository.ust.hk/ir/bitstream/1783.1-7399/1/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:

Zuo X. A cross gender and cross lingual study of stress recognition in speech without linguistic features. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: https://doi.org/10.14711/thesis-b1155586 ; http://repository.ust.hk/ir/bitstream/1783.1-7399/1/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

3. Xu, Ping. Cross-lingual language modeling for low-resource speech recognition.

Degree: 2012, Hong Kong University of Science and Technology

 We show for the first time an end-to-end speech transcription and translation system with cross-lingual language modeling based on weighted finite-state transducers (WFSTs). The system… (more)

Subjects/Keywords: Automatic speech recognition; Multilingual computing

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APA (6th Edition):

Xu, P. (2012). Cross-lingual language modeling for low-resource speech recognition. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1180211 ; http://repository.ust.hk/ir/bitstream/1783.1-7860/1/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):

Xu, Ping. “Cross-lingual language modeling for low-resource speech recognition.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed March 24, 2019. https://doi.org/10.14711/thesis-b1180211 ; http://repository.ust.hk/ir/bitstream/1783.1-7860/1/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):

Xu, Ping. “Cross-lingual language modeling for low-resource speech recognition.” 2012. Web. 24 Mar 2019.

Vancouver:

Xu P. Cross-lingual language modeling for low-resource speech recognition. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Mar 24]. Available from: https://doi.org/10.14711/thesis-b1180211 ; http://repository.ust.hk/ir/bitstream/1783.1-7860/1/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:

Xu P. Cross-lingual language modeling for low-resource speech recognition. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1180211 ; http://repository.ust.hk/ir/bitstream/1783.1-7860/1/th_redirect.html

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


University of Johannesburg

4. Adamski, Michal Jerzy. A speaker recognition solution for identification and authentication.

Degree: 2014, University of Johannesburg

M.Com. (Informatics)

A certain degree of vulnerability exists in traditional knowledge-based identification and authentication access control, as a result of password interception and social engineering… (more)

Subjects/Keywords: Automatic speech recognition; Biometric identification

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APA (6th Edition):

Adamski, M. J. (2014). A speaker recognition solution for identification and authentication. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/11317

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):

Adamski, Michal Jerzy. “A speaker recognition solution for identification and authentication.” 2014. Thesis, University of Johannesburg. Accessed March 24, 2019. http://hdl.handle.net/10210/11317.

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

MLA Handbook (7th Edition):

Adamski, Michal Jerzy. “A speaker recognition solution for identification and authentication.” 2014. Web. 24 Mar 2019.

Vancouver:

Adamski MJ. A speaker recognition solution for identification and authentication. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/10210/11317.

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

Council of Science Editors:

Adamski MJ. A speaker recognition solution for identification and authentication. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/11317

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


University of Southern California

5. Tepperman, Joseph. Hierarchical methods in automatic pronunciation evaluation.

Degree: PhD, Electrical Engineering, 2009, University of Southern California

 Technology that can automatically categorize pronunciations and estimate scores of pronunciation quality has many potential applications, most notably for second-language learners interested in practicing their… (more)

Subjects/Keywords: automatic speech recognition; pronunciation evaluation

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APA (6th Edition):

Tepperman, J. (2009). Hierarchical methods in automatic pronunciation evaluation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/246807/rec/3161

Chicago Manual of Style (16th Edition):

Tepperman, Joseph. “Hierarchical methods in automatic pronunciation evaluation.” 2009. Doctoral Dissertation, University of Southern California. Accessed March 24, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/246807/rec/3161.

MLA Handbook (7th Edition):

Tepperman, Joseph. “Hierarchical methods in automatic pronunciation evaluation.” 2009. Web. 24 Mar 2019.

Vancouver:

Tepperman J. Hierarchical methods in automatic pronunciation evaluation. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Mar 24]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/246807/rec/3161.

Council of Science Editors:

Tepperman J. Hierarchical methods in automatic pronunciation evaluation. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/246807/rec/3161


University of Edinburgh

6. Bell, Peter. Full covariance modelling for speech recognition.

Degree: 2010, University of Edinburgh

 HMM-based systems for Automatic Speech Recognition typically model the acoustic features using mixtures of multivariate Gaussians. In this thesis, we consider the problem of learning… (more)

Subjects/Keywords: 621.382; Speech technology; Automatic Speech Recognition

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APA (6th Edition):

Bell, P. (2010). Full covariance modelling for speech recognition. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4912

Chicago Manual of Style (16th Edition):

Bell, Peter. “Full covariance modelling for speech recognition.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed March 24, 2019. http://hdl.handle.net/1842/4912.

MLA Handbook (7th Edition):

Bell, Peter. “Full covariance modelling for speech recognition.” 2010. Web. 24 Mar 2019.

Vancouver:

Bell P. Full covariance modelling for speech recognition. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/1842/4912.

Council of Science Editors:

Bell P. Full covariance modelling for speech recognition. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4912


University of Arizona

7. Johnston, Samuel John Charles. An Approach to Automatic and Human Speech Recognition Using Ear-Recorded Speech .

Degree: 2017, University of Arizona

Speech in a noisy background presents a challenge for the recognition of that speech both by human listeners and by computers tasked with understanding human… (more)

Subjects/Keywords: Automatic Speech Recognition; Human Speech Recognition; Speech in Noise

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APA (6th Edition):

Johnston, S. J. C. (2017). An Approach to Automatic and Human Speech Recognition Using Ear-Recorded Speech . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/625626

Chicago Manual of Style (16th Edition):

Johnston, Samuel John Charles. “An Approach to Automatic and Human Speech Recognition Using Ear-Recorded Speech .” 2017. Doctoral Dissertation, University of Arizona. Accessed March 24, 2019. http://hdl.handle.net/10150/625626.

MLA Handbook (7th Edition):

Johnston, Samuel John Charles. “An Approach to Automatic and Human Speech Recognition Using Ear-Recorded Speech .” 2017. Web. 24 Mar 2019.

Vancouver:

Johnston SJC. An Approach to Automatic and Human Speech Recognition Using Ear-Recorded Speech . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/10150/625626.

Council of Science Editors:

Johnston SJC. An Approach to Automatic and Human Speech Recognition Using Ear-Recorded Speech . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/625626


University of Illinois – Urbana-Champaign

8. Kantor, Arthur. Pronunciation modeling for large vocabulary speech recognition.

Degree: PhD, 0112, 2011, University of Illinois – Urbana-Champaign

 The large pronunciation variability of words in conversational speech is one of the major causes of low accuracy in automatic speech recognition (ASR). Many pronunciation… (more)

Subjects/Keywords: automatic speech recognition (ASR); Large-Vocabulary Continuous Speech Recognition (LVCSR); Pronunciation modeling; Conversational speech recognition

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APA (6th Edition):

Kantor, A. (2011). Pronunciation modeling for large vocabulary speech recognition. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18276

Chicago Manual of Style (16th Edition):

Kantor, Arthur. “Pronunciation modeling for large vocabulary speech recognition.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 24, 2019. http://hdl.handle.net/2142/18276.

MLA Handbook (7th Edition):

Kantor, Arthur. “Pronunciation modeling for large vocabulary speech recognition.” 2011. Web. 24 Mar 2019.

Vancouver:

Kantor A. Pronunciation modeling for large vocabulary speech recognition. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/2142/18276.

Council of Science Editors:

Kantor A. Pronunciation modeling for large vocabulary speech recognition. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18276

9. Ganesh babu C. Certain investigations on performance analysis of fobust automatic speech recongnition system using voice activity detection and speech enhancement algorthim;.

Degree: Certain investigations on performance analysis of fobust automatic speech recongnition system using voice activity detection and speech enhancement algorthim, 2014, Anna University

newlineSpeech constitutes the primary form of human communication newlineSpeech has the potential to be a better interface other than keyboard and newlinepointing devices A speech(more)

Subjects/Keywords: Automatic Speech Recognition; Information and Communication engineering

Page 1

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APA (6th Edition):

C, G. b. (2014). Certain investigations on performance analysis of fobust automatic speech recongnition system using voice activity detection and speech enhancement algorthim;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26451

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):

C, Ganesh babu. “Certain investigations on performance analysis of fobust automatic speech recongnition system using voice activity detection and speech enhancement algorthim;.” 2014. Thesis, Anna University. Accessed March 24, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/26451.

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

MLA Handbook (7th Edition):

C, Ganesh babu. “Certain investigations on performance analysis of fobust automatic speech recongnition system using voice activity detection and speech enhancement algorthim;.” 2014. Web. 24 Mar 2019.

Vancouver:

C Gb. Certain investigations on performance analysis of fobust automatic speech recongnition system using voice activity detection and speech enhancement algorthim;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Mar 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26451.

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

Council of Science Editors:

C Gb. Certain investigations on performance analysis of fobust automatic speech recongnition system using voice activity detection and speech enhancement algorthim;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26451

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


University of Western Australia

10. Chan, Oscar. Prosodic features for a maximum entropy language model.

Degree: PhD, 2008, University of Western Australia

A statistical language model attempts to characterise the patterns present in a natural language as a probability distribution defined over word sequences. Typically, they are… (more)

Subjects/Keywords: Automatic speech recognition; Mathematical linguistics; Language modelling

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APA (6th Edition):

Chan, O. (2008). Prosodic features for a maximum entropy language model. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=10698&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Chan, Oscar. “Prosodic features for a maximum entropy language model.” 2008. Doctoral Dissertation, University of Western Australia. Accessed March 24, 2019. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=10698&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Chan, Oscar. “Prosodic features for a maximum entropy language model.” 2008. Web. 24 Mar 2019.

Vancouver:

Chan O. Prosodic features for a maximum entropy language model. [Internet] [Doctoral dissertation]. University of Western Australia; 2008. [cited 2019 Mar 24]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=10698&local_base=GEN01-INS01.

Council of Science Editors:

Chan O. Prosodic features for a maximum entropy language model. [Doctoral Dissertation]. University of Western Australia; 2008. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=10698&local_base=GEN01-INS01

11. Sharma, Sangita R. Multi-stream approach to robust speech recognition.

Degree: PhD, 1999, Oregon Health Sciences University

Subjects/Keywords: Automatic speech recognition

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

APA (6th Edition):

Sharma, S. R. (1999). Multi-stream approach to robust speech recognition. (Doctoral Dissertation). Oregon Health Sciences University. Retrieved from doi:10.6083/M42Z13Q4 ; http://digitalcommons.ohsu.edu/etd/2538

Chicago Manual of Style (16th Edition):

Sharma, Sangita R. “Multi-stream approach to robust speech recognition.” 1999. Doctoral Dissertation, Oregon Health Sciences University. Accessed March 24, 2019. doi:10.6083/M42Z13Q4 ; http://digitalcommons.ohsu.edu/etd/2538.

MLA Handbook (7th Edition):

Sharma, Sangita R. “Multi-stream approach to robust speech recognition.” 1999. Web. 24 Mar 2019.

Vancouver:

Sharma SR. Multi-stream approach to robust speech recognition. [Internet] [Doctoral dissertation]. Oregon Health Sciences University; 1999. [cited 2019 Mar 24]. Available from: doi:10.6083/M42Z13Q4 ; http://digitalcommons.ohsu.edu/etd/2538.

Council of Science Editors:

Sharma SR. Multi-stream approach to robust speech recognition. [Doctoral Dissertation]. Oregon Health Sciences University; 1999. Available from: doi:10.6083/M42Z13Q4 ; http://digitalcommons.ohsu.edu/etd/2538

12. Novotney, Scott. Incorporating Weak Statistics for Low-Resource Language Modeling.

Degree: 2014, Johns Hopkins University

Automatic speech recognition (ASR) requires a strong language model to guide the acoustic model and favor likely utterances. While many tasks enjoy billions of language… (more)

Subjects/Keywords: language modeling; automatic speech recognition; semi-supervised

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APA (6th Edition):

Novotney, S. (2014). Incorporating Weak Statistics for Low-Resource Language Modeling. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/37046

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):

Novotney, Scott. “Incorporating Weak Statistics for Low-Resource Language Modeling.” 2014. Thesis, Johns Hopkins University. Accessed March 24, 2019. http://jhir.library.jhu.edu/handle/1774.2/37046.

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

MLA Handbook (7th Edition):

Novotney, Scott. “Incorporating Weak Statistics for Low-Resource Language Modeling.” 2014. Web. 24 Mar 2019.

Vancouver:

Novotney S. Incorporating Weak Statistics for Low-Resource Language Modeling. [Internet] [Thesis]. Johns Hopkins University; 2014. [cited 2019 Mar 24]. Available from: http://jhir.library.jhu.edu/handle/1774.2/37046.

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

Council of Science Editors:

Novotney S. Incorporating Weak Statistics for Low-Resource Language Modeling. [Thesis]. Johns Hopkins University; 2014. Available from: http://jhir.library.jhu.edu/handle/1774.2/37046

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


Oregon State University

13. Xiao, Xin. A VHDL description of speech recognition front-end.

Degree: MS, Electrical and Computer Engineering, 2001, Oregon State University

 This thesis investigates an implementation of speech recognition front-end. It is an application specific integrated circuit (ASIC) solution. A Mel Cepstrum algorithm is implemented for… (more)

Subjects/Keywords: Automatic speech recognition

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APA (6th Edition):

Xiao, X. (2001). A VHDL description of speech recognition front-end. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/29277

Chicago Manual of Style (16th Edition):

Xiao, Xin. “A VHDL description of speech recognition front-end.” 2001. Masters Thesis, Oregon State University. Accessed March 24, 2019. http://hdl.handle.net/1957/29277.

MLA Handbook (7th Edition):

Xiao, Xin. “A VHDL description of speech recognition front-end.” 2001. Web. 24 Mar 2019.

Vancouver:

Xiao X. A VHDL description of speech recognition front-end. [Internet] [Masters thesis]. Oregon State University; 2001. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/1957/29277.

Council of Science Editors:

Xiao X. A VHDL description of speech recognition front-end. [Masters Thesis]. Oregon State University; 2001. Available from: http://hdl.handle.net/1957/29277


Hong Kong University of Science and Technology

14. Ho, Ka-Lung. Kernel eigenvoice speaker adaptation.

Degree: 2003, Hong Kong University of Science and Technology

Speech recognition is a powerful and widely used technology nowadays. However, its performance is not robust enough due to variations in speech introduced by the… (more)

Subjects/Keywords: Automatic speech recognition

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APA (6th Edition):

Ho, K. (2003). Kernel eigenvoice speaker adaptation. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b805946 ; http://repository.ust.hk/ir/bitstream/1783.1-5778/1/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):

Ho, Ka-Lung. “Kernel eigenvoice speaker adaptation.” 2003. Thesis, Hong Kong University of Science and Technology. Accessed March 24, 2019. https://doi.org/10.14711/thesis-b805946 ; http://repository.ust.hk/ir/bitstream/1783.1-5778/1/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):

Ho, Ka-Lung. “Kernel eigenvoice speaker adaptation.” 2003. Web. 24 Mar 2019.

Vancouver:

Ho K. Kernel eigenvoice speaker adaptation. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2003. [cited 2019 Mar 24]. Available from: https://doi.org/10.14711/thesis-b805946 ; http://repository.ust.hk/ir/bitstream/1783.1-5778/1/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:

Ho K. Kernel eigenvoice speaker adaptation. [Thesis]. Hong Kong University of Science and Technology; 2003. Available from: https://doi.org/10.14711/thesis-b805946 ; http://repository.ust.hk/ir/bitstream/1783.1-5778/1/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

15. 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 (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 March 24, 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. 24 Mar 2019.

Vancouver:

Ko YT. Phone deletion modeling in speech recognition. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2019 Mar 24]. 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

16. 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 March 24, 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. 24 Mar 2019.

Vancouver:

Ko YT. Distinct acoustic modeling for automatic speech recognition. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2014. [cited 2019 Mar 24]. 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


Hong Kong University of Science and Technology

17. Zhang, Weibin. Regularized and sparse models for low resource speech recognition.

Degree: 2013, Hong Kong University of Science and Technology

 The performance of modern speech recognition systems depends heavily on the availability of sufficient training data. Although the recognition accuracy of a speech recognition system… (more)

Subjects/Keywords: Automatic speech recognition; Mathematical models; Sparse matrices

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APA (6th Edition):

Zhang, W. (2013). Regularized and sparse models for low resource speech recognition. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1256202 ; http://repository.ust.hk/ir/bitstream/1783.1-62242/1/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, Weibin. “Regularized and sparse models for low resource speech recognition.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed March 24, 2019. https://doi.org/10.14711/thesis-b1256202 ; http://repository.ust.hk/ir/bitstream/1783.1-62242/1/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, Weibin. “Regularized and sparse models for low resource speech recognition.” 2013. Web. 24 Mar 2019.

Vancouver:

Zhang W. Regularized and sparse models for low resource speech recognition. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2019 Mar 24]. Available from: https://doi.org/10.14711/thesis-b1256202 ; http://repository.ust.hk/ir/bitstream/1783.1-62242/1/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 W. Regularized and sparse models for low resource speech recognition. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: https://doi.org/10.14711/thesis-b1256202 ; http://repository.ust.hk/ir/bitstream/1783.1-62242/1/th_redirect.html

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


University of Hong Kong

18. 李威; Li, Wei. A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability.

Degree: PhD, 2007, University of Hong Kong

published_or_final_version

abstract

Computer Science

Doctoral

Doctor of Philosophy

Subjects/Keywords: Automatic speech recognition.

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

APA (6th Edition):

李威; Li, W. (2007). A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability. (Doctoral Dissertation). University of Hong Kong. Retrieved from Li, W. [李威]. (2007). A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3963407 ; http://dx.doi.org/10.5353/th_b3963407 ; http://hdl.handle.net/10722/50831

Chicago Manual of Style (16th Edition):

李威; Li, Wei. “A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability.” 2007. Doctoral Dissertation, University of Hong Kong. Accessed March 24, 2019. Li, W. [李威]. (2007). A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3963407 ; http://dx.doi.org/10.5353/th_b3963407 ; http://hdl.handle.net/10722/50831.

MLA Handbook (7th Edition):

李威; Li, Wei. “A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability.” 2007. Web. 24 Mar 2019.

Vancouver:

李威; Li W. A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability. [Internet] [Doctoral dissertation]. University of Hong Kong; 2007. [cited 2019 Mar 24]. Available from: Li, W. [李威]. (2007). A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3963407 ; http://dx.doi.org/10.5353/th_b3963407 ; http://hdl.handle.net/10722/50831.

Council of Science Editors:

李威; Li W. A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability. [Doctoral Dissertation]. University of Hong Kong; 2007. Available from: Li, W. [李威]. (2007). A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3963407 ; http://dx.doi.org/10.5353/th_b3963407 ; http://hdl.handle.net/10722/50831


University of Arizona

19. Odom, Warren Edward, 1952-. Long-term autocorrelation coefficients in automatic speech recognition .

Degree: 1976, University of Arizona

Subjects/Keywords: Automatic speech recognition.

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APA (6th Edition):

Odom, Warren Edward, 1. (1976). Long-term autocorrelation coefficients in automatic speech recognition . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/347977

Chicago Manual of Style (16th Edition):

Odom, Warren Edward, 1952-. “Long-term autocorrelation coefficients in automatic speech recognition .” 1976. Masters Thesis, University of Arizona. Accessed March 24, 2019. http://hdl.handle.net/10150/347977.

MLA Handbook (7th Edition):

Odom, Warren Edward, 1952-. “Long-term autocorrelation coefficients in automatic speech recognition .” 1976. Web. 24 Mar 2019.

Vancouver:

Odom, Warren Edward 1. Long-term autocorrelation coefficients in automatic speech recognition . [Internet] [Masters thesis]. University of Arizona; 1976. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/10150/347977.

Council of Science Editors:

Odom, Warren Edward 1. Long-term autocorrelation coefficients in automatic speech recognition . [Masters Thesis]. University of Arizona; 1976. Available from: http://hdl.handle.net/10150/347977


McGill University

20. Keyvani, Alireza. Robustness in ASR : an experimental study of the interrelationship between discriminant feature-space transformation, speaker normalization and environment compensation.

Degree: M. Eng., Department of Electrical and Computer Engineering.., 2007, McGill University

This thesis addresses the general problem of maintaining robust automatic speech recognition (ASR) performance under diverse speaker populations, channel conditions, and acoustic environments. To this… (more)

Subjects/Keywords: Automatic speech recognition.

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APA (6th Edition):

Keyvani, A. (2007). Robustness in ASR : an experimental study of the interrelationship between discriminant feature-space transformation, speaker normalization and environment compensation. (Masters Thesis). McGill University. Retrieved from http://digitool.library.mcgill.ca/thesisfile99772.pdf

Chicago Manual of Style (16th Edition):

Keyvani, Alireza. “Robustness in ASR : an experimental study of the interrelationship between discriminant feature-space transformation, speaker normalization and environment compensation.” 2007. Masters Thesis, McGill University. Accessed March 24, 2019. http://digitool.library.mcgill.ca/thesisfile99772.pdf.

MLA Handbook (7th Edition):

Keyvani, Alireza. “Robustness in ASR : an experimental study of the interrelationship between discriminant feature-space transformation, speaker normalization and environment compensation.” 2007. Web. 24 Mar 2019.

Vancouver:

Keyvani A. Robustness in ASR : an experimental study of the interrelationship between discriminant feature-space transformation, speaker normalization and environment compensation. [Internet] [Masters thesis]. McGill University; 2007. [cited 2019 Mar 24]. Available from: http://digitool.library.mcgill.ca/thesisfile99772.pdf.

Council of Science Editors:

Keyvani A. Robustness in ASR : an experimental study of the interrelationship between discriminant feature-space transformation, speaker normalization and environment compensation. [Masters Thesis]. McGill University; 2007. Available from: http://digitool.library.mcgill.ca/thesisfile99772.pdf


Massey University

21. Gadalla, Rafik. Voice recognition system for Massey University Smarthouse.

Degree: M. Eng., Information Engineering, 2006, Massey University

 The concept of a smarthouse aims to integrate technology into houses to a level where most daily tasks are automated and to provide comfort, safety… (more)

Subjects/Keywords: Automatic speech recognition

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APA (6th Edition):

Gadalla, R. (2006). Voice recognition system for Massey University Smarthouse. (Masters Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/11402

Chicago Manual of Style (16th Edition):

Gadalla, Rafik. “Voice recognition system for Massey University Smarthouse.” 2006. Masters Thesis, Massey University. Accessed March 24, 2019. http://hdl.handle.net/10179/11402.

MLA Handbook (7th Edition):

Gadalla, Rafik. “Voice recognition system for Massey University Smarthouse.” 2006. Web. 24 Mar 2019.

Vancouver:

Gadalla R. Voice recognition system for Massey University Smarthouse. [Internet] [Masters thesis]. Massey University; 2006. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/10179/11402.

Council of Science Editors:

Gadalla R. Voice recognition system for Massey University Smarthouse. [Masters Thesis]. Massey University; 2006. Available from: http://hdl.handle.net/10179/11402


Oregon State University

22. Simasathien, Phojana. Recognition of selected spoken digits.

Degree: MS, Electrical and Electronics Engineering, 1968, Oregon State University

 This thesis is concerned with the design of a speech recognition system to recognize digits 1, 2, 3 and 4. The system was designed by… (more)

Subjects/Keywords: Automatic speech recognition

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APA (6th Edition):

Simasathien, P. (1968). Recognition of selected spoken digits. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/46764

Chicago Manual of Style (16th Edition):

Simasathien, Phojana. “Recognition of selected spoken digits.” 1968. Masters Thesis, Oregon State University. Accessed March 24, 2019. http://hdl.handle.net/1957/46764.

MLA Handbook (7th Edition):

Simasathien, Phojana. “Recognition of selected spoken digits.” 1968. Web. 24 Mar 2019.

Vancouver:

Simasathien P. Recognition of selected spoken digits. [Internet] [Masters thesis]. Oregon State University; 1968. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/1957/46764.

Council of Science Editors:

Simasathien P. Recognition of selected spoken digits. [Masters Thesis]. Oregon State University; 1968. Available from: http://hdl.handle.net/1957/46764

23. Ceron, Ivan Francisco Castro. A Keyword Based Interactive Speech Recognition System for Embedded Applications.

Degree: Design and Engineering, 2011, Mälardalen University

Speech recognition has been an important area of research during the past decades. The usage of automatic speech recognition systems is rapidly increasing among… (more)

Subjects/Keywords: Automatic Speech Recognition; PocketSphinx; Embedded Systems

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APA (6th Edition):

Ceron, I. F. C. (2011). A Keyword Based Interactive Speech Recognition System for Embedded Applications. (Thesis). Mälardalen University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12479

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):

Ceron, Ivan Francisco Castro. “A Keyword Based Interactive Speech Recognition System for Embedded Applications.” 2011. Thesis, Mälardalen University. Accessed March 24, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12479.

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

MLA Handbook (7th Edition):

Ceron, Ivan Francisco Castro. “A Keyword Based Interactive Speech Recognition System for Embedded Applications.” 2011. Web. 24 Mar 2019.

Vancouver:

Ceron IFC. A Keyword Based Interactive Speech Recognition System for Embedded Applications. [Internet] [Thesis]. Mälardalen University; 2011. [cited 2019 Mar 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12479.

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

Council of Science Editors:

Ceron IFC. A Keyword Based Interactive Speech Recognition System for Embedded Applications. [Thesis]. Mälardalen University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12479

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


Delft University of Technology

24. Driel, K.F. Building a visual speech recognizer:.

Degree: 2009, Delft University of Technology

 This thesis describes how an automatic lip reader was realized. Visual speech recognition is a precondition for more robust speech recognition in general. The development… (more)

Subjects/Keywords: automatic lip reading; visual speech recognition

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APA (6th Edition):

Driel, K. F. (2009). Building a visual speech recognizer:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:dccc1188-0e63-44c5-ba98-5476d65f20c6

Chicago Manual of Style (16th Edition):

Driel, K F. “Building a visual speech recognizer:.” 2009. Masters Thesis, Delft University of Technology. Accessed March 24, 2019. http://resolver.tudelft.nl/uuid:dccc1188-0e63-44c5-ba98-5476d65f20c6.

MLA Handbook (7th Edition):

Driel, K F. “Building a visual speech recognizer:.” 2009. Web. 24 Mar 2019.

Vancouver:

Driel KF. Building a visual speech recognizer:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2019 Mar 24]. Available from: http://resolver.tudelft.nl/uuid:dccc1188-0e63-44c5-ba98-5476d65f20c6.

Council of Science Editors:

Driel KF. Building a visual speech recognizer:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:dccc1188-0e63-44c5-ba98-5476d65f20c6

25. Sonia, Sunny; Dr. David, Peter S. A Hybrid Architecture for Recognising Speech Signals in Malayalam.

Degree: Computer Science, 2013, Cochin University of Science and Technology

Speech is the primary, most prominent and convenient means of communication in audible language. Through speech, people can express their thoughts, feelings or perceptions by… (more)

Subjects/Keywords: Automatic Speech Recognition; Speech Recognition Systems; Spectral Feature Extraction; Speech Recognition System using LPC; Speech Recognition System using MFCC

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APA (6th Edition):

Sonia, Sunny; Dr. David, P. S. (2013). A Hybrid Architecture for Recognising Speech Signals in Malayalam. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/4697

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):

Sonia, Sunny; Dr. David, Peter S. “A Hybrid Architecture for Recognising Speech Signals in Malayalam.” 2013. Thesis, Cochin University of Science and Technology. Accessed March 24, 2019. http://dyuthi.cusat.ac.in/purl/4697.

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

MLA Handbook (7th Edition):

Sonia, Sunny; Dr. David, Peter S. “A Hybrid Architecture for Recognising Speech Signals in Malayalam.” 2013. Web. 24 Mar 2019.

Vancouver:

Sonia, Sunny; Dr. David PS. A Hybrid Architecture for Recognising Speech Signals in Malayalam. [Internet] [Thesis]. Cochin University of Science and Technology; 2013. [cited 2019 Mar 24]. Available from: http://dyuthi.cusat.ac.in/purl/4697.

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

Council of Science Editors:

Sonia, Sunny; Dr. David PS. A Hybrid Architecture for Recognising Speech Signals in Malayalam. [Thesis]. Cochin University of Science and Technology; 2013. Available from: http://dyuthi.cusat.ac.in/purl/4697

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


Georgia Tech

26. Ma, Chengyuan. A detection-based pattern recognition framework and its applications.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 The objective of this dissertation is to present a detection-based pattern recognition framework and demonstrate its applications in automatic speech recognition and broadcast news video… (more)

Subjects/Keywords: Speech recognition; Detection-based; Evidence fusion; Pattern recognition systems; Automatic speech recognition; Digital video

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APA (6th Edition):

Ma, C. (2010). A detection-based pattern recognition framework and its applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33889

Chicago Manual of Style (16th Edition):

Ma, Chengyuan. “A detection-based pattern recognition framework and its applications.” 2010. Doctoral Dissertation, Georgia Tech. Accessed March 24, 2019. http://hdl.handle.net/1853/33889.

MLA Handbook (7th Edition):

Ma, Chengyuan. “A detection-based pattern recognition framework and its applications.” 2010. Web. 24 Mar 2019.

Vancouver:

Ma C. A detection-based pattern recognition framework and its applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/1853/33889.

Council of Science Editors:

Ma C. A detection-based pattern recognition framework and its applications. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33889


University of Western Australia

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

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 March 24, 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. 24 Mar 2019.

Vancouver:

Toh AM. Robust speech features for speech recognition in hostile environments. [Internet] [Doctoral dissertation]. University of Western Australia; 2007. [cited 2019 Mar 24]. 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


Universitat Politècnica de València

28. Granell Romero, Emilio. Advances on the Transcription of Historical Manuscripts based on Multimodality, Interactivity and Crowdsourcing .

Degree: 2017, Universitat Politècnica de València

 Natural Language Processing (NLP) is an interdisciplinary research field of Computer Science, Linguistics, and Pattern Recognition that studies, among others, the use of human natural… (more)

Subjects/Keywords: Handwritten Text Recognition; Automatic Speech Recognition; Multimodality; Combination; Interactivity; Crowdsourcing

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APA (6th Edition):

Granell Romero, E. (2017). Advances on the Transcription of Historical Manuscripts based on Multimodality, Interactivity and Crowdsourcing . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/86137

Chicago Manual of Style (16th Edition):

Granell Romero, Emilio. “Advances on the Transcription of Historical Manuscripts based on Multimodality, Interactivity and Crowdsourcing .” 2017. Doctoral Dissertation, Universitat Politècnica de València. Accessed March 24, 2019. http://hdl.handle.net/10251/86137.

MLA Handbook (7th Edition):

Granell Romero, Emilio. “Advances on the Transcription of Historical Manuscripts based on Multimodality, Interactivity and Crowdsourcing .” 2017. Web. 24 Mar 2019.

Vancouver:

Granell Romero E. Advances on the Transcription of Historical Manuscripts based on Multimodality, Interactivity and Crowdsourcing . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2017. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/10251/86137.

Council of Science Editors:

Granell Romero E. Advances on the Transcription of Historical Manuscripts based on Multimodality, Interactivity and Crowdsourcing . [Doctoral Dissertation]. Universitat Politècnica de València; 2017. Available from: http://hdl.handle.net/10251/86137


Univerzitet u Beogradu

29. Grozdić, Đorđe T. 1987-. Primena neuralnih mreža u prepoznavanju šapata.

Degree: Elektrotehnički fakultet, 2018, Univerzitet u Beogradu

elektrotehnika - akustika / electrical engineering - acoustics

Nedavno postignuti uspesi dubinskih neuralnih mreža u različitim zadacima mašinskog učenja su doprineli da vestačke neuralne mreze… (more)

Subjects/Keywords: automatic speech recognition (ASR); whispered speech; artificial neural networks

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APA (6th Edition):

Grozdić, . T. 1. (2018). Primena neuralnih mreža u prepoznavanju šapata. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:17282/bdef:Content/get

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):

Grozdić, Đorđe T 1987-. “Primena neuralnih mreža u prepoznavanju šapata.” 2018. Thesis, Univerzitet u Beogradu. Accessed March 24, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:17282/bdef:Content/get.

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

MLA Handbook (7th Edition):

Grozdić, Đorđe T 1987-. “Primena neuralnih mreža u prepoznavanju šapata.” 2018. Web. 24 Mar 2019.

Vancouver:

Grozdić T1. Primena neuralnih mreža u prepoznavanju šapata. [Internet] [Thesis]. Univerzitet u Beogradu; 2018. [cited 2019 Mar 24]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:17282/bdef:Content/get.

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

Council of Science Editors:

Grozdić T1. Primena neuralnih mreža u prepoznavanju šapata. [Thesis]. Univerzitet u Beogradu; 2018. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:17282/bdef:Content/get

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


Stellenbosch University

30. 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 March 24, 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. 24 Mar 2019.

Vancouver:

Brummer N. Measuring, refining and calibrating speaker and language information extracted from speech. [Internet] [Thesis]. Stellenbosch University; 2010. [cited 2019 Mar 24]. 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

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