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University: Texas A&M University

You searched for subject:(speech processing). Showing records 1 – 18 of 18 total matches.

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Texas A&M University

1. Lin, Hong. Real time identification of nasal, voiceless fricative and voiced phonemes using the TMS320c25 DSP processor.

Degree: MS, bioengineering, 2012, Texas A&M University

Subjects/Keywords: bioengineering.; Major bioengineering.; Speech processing systems.; Speech perception.; Phonemics.

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APA (6th Edition):

Lin, H. (2012). Real time identification of nasal, voiceless fricative and voiced phonemes using the TMS320c25 DSP processor. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-L734

Chicago Manual of Style (16th Edition):

Lin, Hong. “Real time identification of nasal, voiceless fricative and voiced phonemes using the TMS320c25 DSP processor.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-L734.

MLA Handbook (7th Edition):

Lin, Hong. “Real time identification of nasal, voiceless fricative and voiced phonemes using the TMS320c25 DSP processor.” 2012. Web. 16 Oct 2019.

Vancouver:

Lin H. Real time identification of nasal, voiceless fricative and voiced phonemes using the TMS320c25 DSP processor. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-L734.

Council of Science Editors:

Lin H. Real time identification of nasal, voiceless fricative and voiced phonemes using the TMS320c25 DSP processor. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-L734


Texas A&M University

2. Burns, Madison Suzann 1987-. The Effect of Natural Language Processing in Bioinspired Design.

Degree: 2012, Texas A&M University

 Bioinspired design methods are a new and evolving collection of techniques used to extract biological principles from nature to solve engineering problems. The application of… (more)

Subjects/Keywords: Part of Speech; Primary Noun; Biomimetic; Natural Language Processing; NLP; Bioinspired Design

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APA (6th Edition):

Burns, M. S. 1. (2012). The Effect of Natural Language Processing in Bioinspired Design. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148145

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):

Burns, Madison Suzann 1987-. “The Effect of Natural Language Processing in Bioinspired Design.” 2012. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/148145.

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

MLA Handbook (7th Edition):

Burns, Madison Suzann 1987-. “The Effect of Natural Language Processing in Bioinspired Design.” 2012. Web. 16 Oct 2019.

Vancouver:

Burns MS1. The Effect of Natural Language Processing in Bioinspired Design. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/148145.

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

Council of Science Editors:

Burns MS1. The Effect of Natural Language Processing in Bioinspired Design. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148145

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


Texas A&M University

3. Sterle, Mark Edward. An artificially intelligent data structure applicable to voice recognition environments.

Degree: MS, computer science, 2012, Texas A&M University

Subjects/Keywords: computer science.; Major computer science.; Automatic speech recognition.; Speech processing systems.

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APA (6th Edition):

Sterle, M. E. (2012). An artificially intelligent data structure applicable to voice recognition environments. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1986-THESIS-S838

Chicago Manual of Style (16th Edition):

Sterle, Mark Edward. “An artificially intelligent data structure applicable to voice recognition environments.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1986-THESIS-S838.

MLA Handbook (7th Edition):

Sterle, Mark Edward. “An artificially intelligent data structure applicable to voice recognition environments.” 2012. Web. 16 Oct 2019.

Vancouver:

Sterle ME. An artificially intelligent data structure applicable to voice recognition environments. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1986-THESIS-S838.

Council of Science Editors:

Sterle ME. An artificially intelligent data structure applicable to voice recognition environments. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1986-THESIS-S838

4. Felps, Daniel. Articulatory-based Speech Processing Methods for Foreign Accent Conversion.

Degree: 2012, Texas A&M University

 The objective of this dissertation is to develop speech processing methods that enable without altering their identity. We envision accent conversion primarily as a tool… (more)

Subjects/Keywords: speech processing; voice conversion; accent conversion

…his Straight speech processing algorithm available to me and for the financial support… …features to perform accent conversion. Finally, it reviews select speech processing algorithms… …However, the proposed speech processing algorithms modify only the segmental and prosodic… …5 2.2.1 Native speaker reactions to non-native speech… …9 Speech production… 

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APA (6th Edition):

Felps, D. (2012). Articulatory-based Speech Processing Methods for Foreign Accent Conversion. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9760

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):

Felps, Daniel. “Articulatory-based Speech Processing Methods for Foreign Accent Conversion.” 2012. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9760.

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

MLA Handbook (7th Edition):

Felps, Daniel. “Articulatory-based Speech Processing Methods for Foreign Accent Conversion.” 2012. Web. 16 Oct 2019.

Vancouver:

Felps D. Articulatory-based Speech Processing Methods for Foreign Accent Conversion. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9760.

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

Council of Science Editors:

Felps D. Articulatory-based Speech Processing Methods for Foreign Accent Conversion. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9760

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


Texas A&M University

5. Sackett, Ginger Lynn. Fractal analysis of isolated words of speech at four levels of environmental stress.

Degree: MS, bioengineering, 2012, Texas A&M University

Subjects/Keywords: bioengineering.; Major bioengineering.; Speech processing systems.; Auditory perception.; Automatic speech recognition.; Speech - Physiological aspects.

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APA (6th Edition):

Sackett, G. L. (2012). Fractal analysis of isolated words of speech at four levels of environmental stress. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-S115

Chicago Manual of Style (16th Edition):

Sackett, Ginger Lynn. “Fractal analysis of isolated words of speech at four levels of environmental stress.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-S115.

MLA Handbook (7th Edition):

Sackett, Ginger Lynn. “Fractal analysis of isolated words of speech at four levels of environmental stress.” 2012. Web. 16 Oct 2019.

Vancouver:

Sackett GL. Fractal analysis of isolated words of speech at four levels of environmental stress. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-S115.

Council of Science Editors:

Sackett GL. Fractal analysis of isolated words of speech at four levels of environmental stress. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-S115


Texas A&M University

6. Koo, Boneung. A comparison of all-pole, all-zero and pole-zero predictor performance in ADPCM speech coding.

Degree: MS, electrical engineering, 2012, Texas A&M University

Subjects/Keywords: electrical engineering.; Major electrical engineering.; Pulse-code modulation.; Speech processing systems - Mathematical models.

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APA (6th Edition):

Koo, B. (2012). A comparison of all-pole, all-zero and pole-zero predictor performance in ADPCM speech coding. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1984-THESIS-K83

Chicago Manual of Style (16th Edition):

Koo, Boneung. “A comparison of all-pole, all-zero and pole-zero predictor performance in ADPCM speech coding.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1984-THESIS-K83.

MLA Handbook (7th Edition):

Koo, Boneung. “A comparison of all-pole, all-zero and pole-zero predictor performance in ADPCM speech coding.” 2012. Web. 16 Oct 2019.

Vancouver:

Koo B. A comparison of all-pole, all-zero and pole-zero predictor performance in ADPCM speech coding. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1984-THESIS-K83.

Council of Science Editors:

Koo B. A comparison of all-pole, all-zero and pole-zero predictor performance in ADPCM speech coding. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1984-THESIS-K83


Texas A&M University

7. Ødegård, Jan Erik. Segmentation of speech based on adaptive pitch prediction.

Degree: MS, electrical engineering, 2012, Texas A&M University

Subjects/Keywords: electrical engineering.; Major electrical engineering.; Speech processing systems.; Digital communications.

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APA (6th Edition):

Ødegård, J. E. (2012). Segmentation of speech based on adaptive pitch prediction. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-O23

Chicago Manual of Style (16th Edition):

Ødegård, Jan Erik. “Segmentation of speech based on adaptive pitch prediction.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-O23.

MLA Handbook (7th Edition):

Ødegård, Jan Erik. “Segmentation of speech based on adaptive pitch prediction.” 2012. Web. 16 Oct 2019.

Vancouver:

Ødegård JE. Segmentation of speech based on adaptive pitch prediction. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-O23.

Council of Science Editors:

Ødegård JE. Segmentation of speech based on adaptive pitch prediction. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-O23


Texas A&M University

8. Shah, Rupa Jagdish. Spectral analysis of speech under stress and noise conditions.

Degree: MS, bioengineering, 2012, Texas A&M University

Subjects/Keywords: bioengineering.; Major bioengineering.; Automatic speech recognition.; Noise control.; Spectral analysis (Phonetics); Speech perception - Data processing.

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APA (6th Edition):

Shah, R. J. (2012). Spectral analysis of speech under stress and noise conditions. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-S524

Chicago Manual of Style (16th Edition):

Shah, Rupa Jagdish. “Spectral analysis of speech under stress and noise conditions.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-S524.

MLA Handbook (7th Edition):

Shah, Rupa Jagdish. “Spectral analysis of speech under stress and noise conditions.” 2012. Web. 16 Oct 2019.

Vancouver:

Shah RJ. Spectral analysis of speech under stress and noise conditions. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-S524.

Council of Science Editors:

Shah RJ. Spectral analysis of speech under stress and noise conditions. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-S524


Texas A&M University

9. Sauter, Louis Clyde. Experimental comparison of forward and backward adaptive prediction in ADPCM speech coding.

Degree: MS, electrical engineering, 2012, Texas A&M University

Subjects/Keywords: electrical engineering.; Major electrical engineering.; Pulse-code modulation.; Pulse modulation (Electronics); Speech processing systems.; Automatic speech recognition.

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APA (6th Edition):

Sauter, L. C. (2012). Experimental comparison of forward and backward adaptive prediction in ADPCM speech coding. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1979-THESIS-S261

Chicago Manual of Style (16th Edition):

Sauter, Louis Clyde. “Experimental comparison of forward and backward adaptive prediction in ADPCM speech coding.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1979-THESIS-S261.

MLA Handbook (7th Edition):

Sauter, Louis Clyde. “Experimental comparison of forward and backward adaptive prediction in ADPCM speech coding.” 2012. Web. 16 Oct 2019.

Vancouver:

Sauter LC. Experimental comparison of forward and backward adaptive prediction in ADPCM speech coding. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1979-THESIS-S261.

Council of Science Editors:

Sauter LC. Experimental comparison of forward and backward adaptive prediction in ADPCM speech coding. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1979-THESIS-S261


Texas A&M University

10. Hohl, William Adam. Kalman prediction in the CCITT standard for speech coding.

Degree: MS, electrical engineering, 2012, Texas A&M University

Subjects/Keywords: electrical engineering.; Major electrical engineering.; International Telegraph and Telephone Consultative Committee..; Signal processing - Digital techniques.; Speech processing systems - Standards.; Kalman filtering.

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APA (6th Edition):

Hohl, W. A. (2012). Kalman prediction in the CCITT standard for speech coding. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-H719

Chicago Manual of Style (16th Edition):

Hohl, William Adam. “Kalman prediction in the CCITT standard for speech coding.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-H719.

MLA Handbook (7th Edition):

Hohl, William Adam. “Kalman prediction in the CCITT standard for speech coding.” 2012. Web. 16 Oct 2019.

Vancouver:

Hohl WA. Kalman prediction in the CCITT standard for speech coding. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-H719.

Council of Science Editors:

Hohl WA. Kalman prediction in the CCITT standard for speech coding. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1990-THESIS-H719


Texas A&M University

11. Bellubbi, Rajeev V. A multistage approach to vector quantization.

Degree: MS, electrical engineering, 2012, Texas A&M University

Subjects/Keywords: electrical engineering.; Major electrical engineering.; Data compression (Telecommunication); Signal processing - Digital techniques.; Speech processing systems.

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APA (6th Edition):

Bellubbi, R. V. (2012). A multistage approach to vector quantization. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-B449

Chicago Manual of Style (16th Edition):

Bellubbi, Rajeev V. “A multistage approach to vector quantization.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-B449.

MLA Handbook (7th Edition):

Bellubbi, Rajeev V. “A multistage approach to vector quantization.” 2012. Web. 16 Oct 2019.

Vancouver:

Bellubbi RV. A multistage approach to vector quantization. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-B449.

Council of Science Editors:

Bellubbi RV. A multistage approach to vector quantization. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-B449


Texas A&M University

12. Moore, Charles Chapman. Channel coding for the DPCM-AQB speech encoder.

Degree: MS, electrical engineering, 2012, Texas A&M University

Subjects/Keywords: electrical engineering.; Major electrical engineering.; Speech processing systems.; Pulse-code modulation.; Error functions.; Convolutions (Mathematics)

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APA (6th Edition):

Moore, C. C. (2012). Channel coding for the DPCM-AQB speech encoder. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1982-THESIS-M821

Chicago Manual of Style (16th Edition):

Moore, Charles Chapman. “Channel coding for the DPCM-AQB speech encoder.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1982-THESIS-M821.

MLA Handbook (7th Edition):

Moore, Charles Chapman. “Channel coding for the DPCM-AQB speech encoder.” 2012. Web. 16 Oct 2019.

Vancouver:

Moore CC. Channel coding for the DPCM-AQB speech encoder. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1982-THESIS-M821.

Council of Science Editors:

Moore CC. Channel coding for the DPCM-AQB speech encoder. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1982-THESIS-M821


Texas A&M University

13. Malone, Kevin Thomas. Speech waveform encoding using contour gain vector quantization.

Degree: MS, electrical engineering, 2012, Texas A&M University

Subjects/Keywords: electrical engineering.; Major electrical engineering.; Speech processing systems.; Signal theory (Telecommunication).; Data compression (Telecommunication).

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APA (6th Edition):

Malone, K. T. (2012). Speech waveform encoding using contour gain vector quantization. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1985-THESIS-M257

Chicago Manual of Style (16th Edition):

Malone, Kevin Thomas. “Speech waveform encoding using contour gain vector quantization.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1985-THESIS-M257.

MLA Handbook (7th Edition):

Malone, Kevin Thomas. “Speech waveform encoding using contour gain vector quantization.” 2012. Web. 16 Oct 2019.

Vancouver:

Malone KT. Speech waveform encoding using contour gain vector quantization. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1985-THESIS-M257.

Council of Science Editors:

Malone KT. Speech waveform encoding using contour gain vector quantization. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1985-THESIS-M257


Texas A&M University

14. Armstrong, Mark Edward. A comparison of speech versus keyboard input and scrolling versus nonscrolling menus on a menu-based natural language interface.

Degree: MS, industrial engineering, 2012, Texas A&M University

Subjects/Keywords: industrial engineering.; Major industrial engineering.; Natural language processing (Computer science); Information display systems - Formatting.; Automatic speech recognition.

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APA (6th Edition):

Armstrong, M. E. (2012). A comparison of speech versus keyboard input and scrolling versus nonscrolling menus on a menu-based natural language interface. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-A737

Chicago Manual of Style (16th Edition):

Armstrong, Mark Edward. “A comparison of speech versus keyboard input and scrolling versus nonscrolling menus on a menu-based natural language interface.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-A737.

MLA Handbook (7th Edition):

Armstrong, Mark Edward. “A comparison of speech versus keyboard input and scrolling versus nonscrolling menus on a menu-based natural language interface.” 2012. Web. 16 Oct 2019.

Vancouver:

Armstrong ME. A comparison of speech versus keyboard input and scrolling versus nonscrolling menus on a menu-based natural language interface. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-A737.

Council of Science Editors:

Armstrong ME. A comparison of speech versus keyboard input and scrolling versus nonscrolling menus on a menu-based natural language interface. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-A737


Texas A&M University

15. Bierschwale, John Milton. Speech versus keying commands in a text-editing task.

Degree: MS, industrial engineering, 2012, Texas A&M University

Subjects/Keywords: industrial engineering.; Major industrial engineering.; Text processing (Computer science); Automatic speech recognition.; Data editing.

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APA (6th Edition):

Bierschwale, J. M. (2012). Speech versus keying commands in a text-editing task. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-B576

Chicago Manual of Style (16th Edition):

Bierschwale, John Milton. “Speech versus keying commands in a text-editing task.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-B576.

MLA Handbook (7th Edition):

Bierschwale, John Milton. “Speech versus keying commands in a text-editing task.” 2012. Web. 16 Oct 2019.

Vancouver:

Bierschwale JM. Speech versus keying commands in a text-editing task. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-B576.

Council of Science Editors:

Bierschwale JM. Speech versus keying commands in a text-editing task. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-B576


Texas A&M University

16. Goris, Andrew Clark. Tree coding of speech using variable length symbol release techniques.

Degree: MS, electrical engineering, 2012, Texas A&M University

Subjects/Keywords: electrical engineering.; Major electrical engineering.; Coding theory.; Speech processing systems.; Modulation (Electronics); Signal theory (Telecommunication)

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APA (6th Edition):

Goris, A. C. (2012). Tree coding of speech using variable length symbol release techniques. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1979-THESIS-G669

Chicago Manual of Style (16th Edition):

Goris, Andrew Clark. “Tree coding of speech using variable length symbol release techniques.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1979-THESIS-G669.

MLA Handbook (7th Edition):

Goris, Andrew Clark. “Tree coding of speech using variable length symbol release techniques.” 2012. Web. 16 Oct 2019.

Vancouver:

Goris AC. Tree coding of speech using variable length symbol release techniques. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1979-THESIS-G669.

Council of Science Editors:

Goris AC. Tree coding of speech using variable length symbol release techniques. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1979-THESIS-G669


Texas A&M University

17. McClellan, Stan. Data compression using inverted block codes.

Degree: MS, electrical engineering, 2012, Texas A&M University

Subjects/Keywords: electrical engineering.; Major electrical engineering.; Speech processing systems.; Data compression (Telecommunication); Error-correcting codes (Information theory)

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

APA (6th Edition):

McClellan, S. (2012). Data compression using inverted block codes. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1991-THESIS-M126

Chicago Manual of Style (16th Edition):

McClellan, Stan. “Data compression using inverted block codes.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1991-THESIS-M126.

MLA Handbook (7th Edition):

McClellan, Stan. “Data compression using inverted block codes.” 2012. Web. 16 Oct 2019.

Vancouver:

McClellan S. Data compression using inverted block codes. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1991-THESIS-M126.

Council of Science Editors:

McClellan S. Data compression using inverted block codes. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1991-THESIS-M126


Texas A&M University

18. Haschke, Greg Benjamin. Adaptive code generators for tree coding of speech at 16 kbps.

Degree: MS, electrical engineering, 2012, Texas A&M University

Subjects/Keywords: electrical engineering.; Major electrical engineering.; Code generators.; Pulse-code modulation.; Coding theory.; Speech processing systems.

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

APA (6th Edition):

Haschke, G. B. (2012). Adaptive code generators for tree coding of speech at 16 kbps. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-H344

Chicago Manual of Style (16th Edition):

Haschke, Greg Benjamin. “Adaptive code generators for tree coding of speech at 16 kbps.” 2012. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-H344.

MLA Handbook (7th Edition):

Haschke, Greg Benjamin. “Adaptive code generators for tree coding of speech at 16 kbps.” 2012. Web. 16 Oct 2019.

Vancouver:

Haschke GB. Adaptive code generators for tree coding of speech at 16 kbps. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-H344.

Council of Science Editors:

Haschke GB. Adaptive code generators for tree coding of speech at 16 kbps. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-H344

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