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You searched for subject:(Speech signal processing). Showing records 1 – 30 of 172 total matches.

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1. Prajith, P. Investigations on the applications of dynamical instabilities and deterministic chaos for speech signal processing.

Degree: Physics, 2008, University of Calicut

This study investigates the potential use of Reconstructed Phase Space (RPS) based parameters for Speech Signal Processing by utilizing nonlinear dynamical systems theory. In this… (more)

Subjects/Keywords: Physics; Speech signal processing; chaos

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

APA (6th Edition):

Prajith, P. (2008). Investigations on the applications of dynamical instabilities and deterministic chaos for speech signal processing. (Thesis). University of Calicut. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/3960

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):

Prajith, P. “Investigations on the applications of dynamical instabilities and deterministic chaos for speech signal processing.” 2008. Thesis, University of Calicut. Accessed October 17, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/3960.

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

MLA Handbook (7th Edition):

Prajith, P. “Investigations on the applications of dynamical instabilities and deterministic chaos for speech signal processing.” 2008. Web. 17 Oct 2019.

Vancouver:

Prajith P. Investigations on the applications of dynamical instabilities and deterministic chaos for speech signal processing. [Internet] [Thesis]. University of Calicut; 2008. [cited 2019 Oct 17]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/3960.

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

Council of Science Editors:

Prajith P. Investigations on the applications of dynamical instabilities and deterministic chaos for speech signal processing. [Thesis]. University of Calicut; 2008. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/3960

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


University of Wollongong

2. Cheng, Eva Chung-Wai. Spatial analysis of multiparty speech scenes.

Degree: PhD, 2012, University of Wollongong

  This thesis conducts a series of investigations into the estimation of speaker location cues from multi-party meeting speech recordings. As participants in meetings generally… (more)

Subjects/Keywords: speech signal processing; microphone arrays; meeting speech

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APA (6th Edition):

Cheng, E. C. (2012). Spatial analysis of multiparty speech scenes. (Doctoral Dissertation). University of Wollongong. Retrieved from 090609 Signal Processing ; https://ro.uow.edu.au/theses/3713

Chicago Manual of Style (16th Edition):

Cheng, Eva Chung-Wai. “Spatial analysis of multiparty speech scenes.” 2012. Doctoral Dissertation, University of Wollongong. Accessed October 17, 2019. 090609 Signal Processing ; https://ro.uow.edu.au/theses/3713.

MLA Handbook (7th Edition):

Cheng, Eva Chung-Wai. “Spatial analysis of multiparty speech scenes.” 2012. Web. 17 Oct 2019.

Vancouver:

Cheng EC. Spatial analysis of multiparty speech scenes. [Internet] [Doctoral dissertation]. University of Wollongong; 2012. [cited 2019 Oct 17]. Available from: 090609 Signal Processing ; https://ro.uow.edu.au/theses/3713.

Council of Science Editors:

Cheng EC. Spatial analysis of multiparty speech scenes. [Doctoral Dissertation]. University of Wollongong; 2012. Available from: 090609 Signal Processing ; https://ro.uow.edu.au/theses/3713


Queens University

3. Zheng, Chenxi. Single-Microphone Speech Dereverberation: Modulation Domain Processing and Quality Assessment .

Degree: Electrical and Computer Engineering, 2011, Queens University

 In a reverberant enclosure, acoustic speech signals are degraded by reflections from walls, ceilings, and objects. Restoring speech quality and intelligibility from reverberated speech has… (more)

Subjects/Keywords: Speech enhancement; Dereverberation; Speech signal processing

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APA (6th Edition):

Zheng, C. (2011). Single-Microphone Speech Dereverberation: Modulation Domain Processing and Quality Assessment . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/6609

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):

Zheng, Chenxi. “Single-Microphone Speech Dereverberation: Modulation Domain Processing and Quality Assessment .” 2011. Thesis, Queens University. Accessed October 17, 2019. http://hdl.handle.net/1974/6609.

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

MLA Handbook (7th Edition):

Zheng, Chenxi. “Single-Microphone Speech Dereverberation: Modulation Domain Processing and Quality Assessment .” 2011. Web. 17 Oct 2019.

Vancouver:

Zheng C. Single-Microphone Speech Dereverberation: Modulation Domain Processing and Quality Assessment . [Internet] [Thesis]. Queens University; 2011. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1974/6609.

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

Council of Science Editors:

Zheng C. Single-Microphone Speech Dereverberation: Modulation Domain Processing and Quality Assessment . [Thesis]. Queens University; 2011. Available from: http://hdl.handle.net/1974/6609

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


Dublin City University

4. Errity, Andrew. Exploring the dimensionality of speech using manifold learning and dimensionality reduction methods.

Degree: National Centre for Language Technology (NCLT); Dublin City University. Research Institute for Networks and Communications Engineering (RINCE); Dublin City University. School of Computing, 2010, Dublin City University

 Many previous investigations have indicated that speech data has inherent low-dimensional structure and that it may be possible to efficiently represent speech using only a… (more)

Subjects/Keywords: Computational linguistics; Signal processing; speech processing

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APA (6th Edition):

Errity, A. (2010). Exploring the dimensionality of speech using manifold learning and dimensionality reduction methods. (Thesis). Dublin City University. Retrieved from http://doras.dcu.ie/15142/

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):

Errity, Andrew. “Exploring the dimensionality of speech using manifold learning and dimensionality reduction methods.” 2010. Thesis, Dublin City University. Accessed October 17, 2019. http://doras.dcu.ie/15142/.

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

MLA Handbook (7th Edition):

Errity, Andrew. “Exploring the dimensionality of speech using manifold learning and dimensionality reduction methods.” 2010. Web. 17 Oct 2019.

Vancouver:

Errity A. Exploring the dimensionality of speech using manifold learning and dimensionality reduction methods. [Internet] [Thesis]. Dublin City University; 2010. [cited 2019 Oct 17]. Available from: http://doras.dcu.ie/15142/.

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

Council of Science Editors:

Errity A. Exploring the dimensionality of speech using manifold learning and dimensionality reduction methods. [Thesis]. Dublin City University; 2010. Available from: http://doras.dcu.ie/15142/

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


University of Western Ontario

5. Gaballah, Amr. Parkinsonian Speech and Voice Quality: Assessment and Improvement.

Degree: 2019, University of Western Ontario

 Parkinson’s disease (PD) is the second most common neurodegenerative disease. Statistics show that nearly 90% of people impaired with PD develop voice and speech disorders.… (more)

Subjects/Keywords: Parkinson disease; speech quality; machine learning; speech analysis; speech amplifiers; signal-to-noise feedback device; Signal Processing; Speech Pathology and Audiology

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

APA (6th Edition):

Gaballah, A. (2019). Parkinsonian Speech and Voice Quality: Assessment and Improvement. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/6433

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):

Gaballah, Amr. “Parkinsonian Speech and Voice Quality: Assessment and Improvement.” 2019. Thesis, University of Western Ontario. Accessed October 17, 2019. https://ir.lib.uwo.ca/etd/6433.

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

MLA Handbook (7th Edition):

Gaballah, Amr. “Parkinsonian Speech and Voice Quality: Assessment and Improvement.” 2019. Web. 17 Oct 2019.

Vancouver:

Gaballah A. Parkinsonian Speech and Voice Quality: Assessment and Improvement. [Internet] [Thesis]. University of Western Ontario; 2019. [cited 2019 Oct 17]. Available from: https://ir.lib.uwo.ca/etd/6433.

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

Council of Science Editors:

Gaballah A. Parkinsonian Speech and Voice Quality: Assessment and Improvement. [Thesis]. University of Western Ontario; 2019. Available from: https://ir.lib.uwo.ca/etd/6433

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

6. O'REILLY, COLM JOSEPH. Digital signal processing approaches to bird song analysis.

Degree: School of Engineering. Discipline of Electronic & Elect. Engineering, 2017, Trinity College Dublin

 The ability to automatically analyze bird vocalizations would provide major assistance to zoologists in their behavioral and ecological studies. Revisions of taxonomy need to be… (more)

Subjects/Keywords: Digital signal processing; Bird song; Pitch tracking; Speech processing; Machine learning

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APA (6th Edition):

O'REILLY, C. J. (2017). Digital signal processing approaches to bird song analysis. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/81879

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):

O'REILLY, COLM JOSEPH. “Digital signal processing approaches to bird song analysis.” 2017. Thesis, Trinity College Dublin. Accessed October 17, 2019. http://hdl.handle.net/2262/81879.

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

MLA Handbook (7th Edition):

O'REILLY, COLM JOSEPH. “Digital signal processing approaches to bird song analysis.” 2017. Web. 17 Oct 2019.

Vancouver:

O'REILLY CJ. Digital signal processing approaches to bird song analysis. [Internet] [Thesis]. Trinity College Dublin; 2017. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2262/81879.

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

Council of Science Editors:

O'REILLY CJ. Digital signal processing approaches to bird song analysis. [Thesis]. Trinity College Dublin; 2017. Available from: http://hdl.handle.net/2262/81879

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


University of Southern California

7. Black, Matthew P. Automatic quantification and prediction of human subjective judgments in behavioral signal processing.

Degree: PhD, Electrical Engineering, 2012, University of Southern California

 Human judgments on human behavior are an important part of interpersonal interactions and many assessment and intervention designs. While humans have evolved to be naturally… (more)

Subjects/Keywords: behavioral signal processing (BSP); human-centered engineering; speech and language processing

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

APA (6th Edition):

Black, M. P. (2012). Automatic quantification and prediction of human subjective judgments in behavioral signal processing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/676919/rec/1000

Chicago Manual of Style (16th Edition):

Black, Matthew P. “Automatic quantification and prediction of human subjective judgments in behavioral signal processing.” 2012. Doctoral Dissertation, University of Southern California. Accessed October 17, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/676919/rec/1000.

MLA Handbook (7th Edition):

Black, Matthew P. “Automatic quantification and prediction of human subjective judgments in behavioral signal processing.” 2012. Web. 17 Oct 2019.

Vancouver:

Black MP. Automatic quantification and prediction of human subjective judgments in behavioral signal processing. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Oct 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/676919/rec/1000.

Council of Science Editors:

Black MP. Automatic quantification and prediction of human subjective judgments in behavioral signal processing. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/676919/rec/1000


Virginia Commonwealth University

8. Skjei, Thomas. Real-Time Fundamental Frequency Estimation Algorithm for Disconnected Speech.

Degree: MS, Computer Science, 2011, Virginia Commonwealth University

 A new algorithm is presented for real-time fundamental frequency estimation of speech signals. This method extends and alters the YIN algorithm, which uses the autocorrelation-based… (more)

Subjects/Keywords: Signal Processing; Speech Processing; Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Skjei, T. (2011). Real-Time Fundamental Frequency Estimation Algorithm for Disconnected Speech. (Thesis). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/191

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):

Skjei, Thomas. “Real-Time Fundamental Frequency Estimation Algorithm for Disconnected Speech.” 2011. Thesis, Virginia Commonwealth University. Accessed October 17, 2019. https://scholarscompass.vcu.edu/etd/191.

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

MLA Handbook (7th Edition):

Skjei, Thomas. “Real-Time Fundamental Frequency Estimation Algorithm for Disconnected Speech.” 2011. Web. 17 Oct 2019.

Vancouver:

Skjei T. Real-Time Fundamental Frequency Estimation Algorithm for Disconnected Speech. [Internet] [Thesis]. Virginia Commonwealth University; 2011. [cited 2019 Oct 17]. Available from: https://scholarscompass.vcu.edu/etd/191.

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

Council of Science Editors:

Skjei T. Real-Time Fundamental Frequency Estimation Algorithm for Disconnected Speech. [Thesis]. Virginia Commonwealth University; 2011. Available from: https://scholarscompass.vcu.edu/etd/191

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

9. Wang, Jianglin. Physiologically-Motivated Feature Extraction Methods for Speaker Recognition.

Degree: 2013, Marquette University

 Speaker recognition has received a great deal of attention from the speech community, and significant gains in robustness and accuracy have been obtained over the… (more)

Subjects/Keywords: Pattern recognition; Speech signal processing; Electrical and Electronics; Signal Processing; Systems and Communications

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APA (6th Edition):

Wang, J. (2013). Physiologically-Motivated Feature Extraction Methods for Speaker Recognition. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/dissertations_mu/312

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, Jianglin. “Physiologically-Motivated Feature Extraction Methods for Speaker Recognition.” 2013. Thesis, Marquette University. Accessed October 17, 2019. https://epublications.marquette.edu/dissertations_mu/312.

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

MLA Handbook (7th Edition):

Wang, Jianglin. “Physiologically-Motivated Feature Extraction Methods for Speaker Recognition.” 2013. Web. 17 Oct 2019.

Vancouver:

Wang J. Physiologically-Motivated Feature Extraction Methods for Speaker Recognition. [Internet] [Thesis]. Marquette University; 2013. [cited 2019 Oct 17]. Available from: https://epublications.marquette.edu/dissertations_mu/312.

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

Council of Science Editors:

Wang J. Physiologically-Motivated Feature Extraction Methods for Speaker Recognition. [Thesis]. Marquette University; 2013. Available from: https://epublications.marquette.edu/dissertations_mu/312

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


University of Illinois – Urbana-Champaign

10. Bryan, Jacob. A sensorimotor basis of speech communication.

Degree: PhD, Electrical & Computer Engr, 2019, University of Illinois – Urbana-Champaign

 This dissertation presents the development of sensorimotor primitives as a means of constructing a language-agnostic model of speech communication. Insights from major theories in speech(more)

Subjects/Keywords: speech; langauge; artificial intelligence; speech signal processing; speech communication; speech articulation; sensorimotor primitives; speech primitives; variational autoencoder; inverse channel encoder

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APA (6th Edition):

Bryan, J. (2019). A sensorimotor basis of speech communication. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104777

Chicago Manual of Style (16th Edition):

Bryan, Jacob. “A sensorimotor basis of speech communication.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/104777.

MLA Handbook (7th Edition):

Bryan, Jacob. “A sensorimotor basis of speech communication.” 2019. Web. 17 Oct 2019.

Vancouver:

Bryan J. A sensorimotor basis of speech communication. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/104777.

Council of Science Editors:

Bryan J. A sensorimotor basis of speech communication. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104777


University of Toronto

11. Bali, Rohan. Mapping Acoustics to Kinematics in Speech.

Degree: 2016, University of Toronto

An accurate mapping from speech acoustics to speech articulator movements has many practical applications, as well as theoretical implications of speech planning and perception science.… (more)

Subjects/Keywords: Acoustics to Kinematics; Articulatory Inversion; Jerk; Signal Processing; Speech; Speech Articulators; 0986

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APA (6th Edition):

Bali, R. (2016). Mapping Acoustics to Kinematics in Speech. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/72733

Chicago Manual of Style (16th Edition):

Bali, Rohan. “Mapping Acoustics to Kinematics in Speech.” 2016. Masters Thesis, University of Toronto. Accessed October 17, 2019. http://hdl.handle.net/1807/72733.

MLA Handbook (7th Edition):

Bali, Rohan. “Mapping Acoustics to Kinematics in Speech.” 2016. Web. 17 Oct 2019.

Vancouver:

Bali R. Mapping Acoustics to Kinematics in Speech. [Internet] [Masters thesis]. University of Toronto; 2016. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1807/72733.

Council of Science Editors:

Bali R. Mapping Acoustics to Kinematics in Speech. [Masters Thesis]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/72733


University of Western Ontario

12. Vaisberg, Jonathan Matthew. Understanding hearing aid sound quality for music-listening.

Degree: 2019, University of Western Ontario

 To improve speech intelligibility for individuals with hearing loss, hearing aids amplify speech using gains derived from evidence-based prescriptive methods, in addition to other advanced… (more)

Subjects/Keywords: Hearing aids; hearing loss; music; signal processing; speech intelligibility; sound quality; Speech Pathology and Audiology

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APA (6th Edition):

Vaisberg, J. M. (2019). Understanding hearing aid sound quality for music-listening. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/6145

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):

Vaisberg, Jonathan Matthew. “Understanding hearing aid sound quality for music-listening.” 2019. Thesis, University of Western Ontario. Accessed October 17, 2019. https://ir.lib.uwo.ca/etd/6145.

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

MLA Handbook (7th Edition):

Vaisberg, Jonathan Matthew. “Understanding hearing aid sound quality for music-listening.” 2019. Web. 17 Oct 2019.

Vancouver:

Vaisberg JM. Understanding hearing aid sound quality for music-listening. [Internet] [Thesis]. University of Western Ontario; 2019. [cited 2019 Oct 17]. Available from: https://ir.lib.uwo.ca/etd/6145.

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

Council of Science Editors:

Vaisberg JM. Understanding hearing aid sound quality for music-listening. [Thesis]. University of Western Ontario; 2019. Available from: https://ir.lib.uwo.ca/etd/6145

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


University of Texas Southwestern Medical Center

13. Somanath, Keerthan. Quantifying the Perceptual Quality of Strain: An Electroglottographic Analysis of Continuous Dysphonic Speech.

Degree: 2015, University of Texas Southwestern Medical Center

 INTRODUCTION: Excessive vocal effort perceived as strain may involve increased vocal fold compression. Electroglottography (EGG) in principle could provide a measure of strain directly connected… (more)

Subjects/Keywords: Dysphonia; Electrodiagnosis; Signal Processing, Computer-Assisted; Speech Production Measurement; Speech-Language Pathology; Vocal Cords

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APA (6th Edition):

Somanath, K. (2015). Quantifying the Perceptual Quality of Strain: An Electroglottographic Analysis of Continuous Dysphonic Speech. (Thesis). University of Texas Southwestern Medical Center. Retrieved from http://hdl.handle.net/2152.5/4120

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):

Somanath, Keerthan. “Quantifying the Perceptual Quality of Strain: An Electroglottographic Analysis of Continuous Dysphonic Speech.” 2015. Thesis, University of Texas Southwestern Medical Center. Accessed October 17, 2019. http://hdl.handle.net/2152.5/4120.

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

MLA Handbook (7th Edition):

Somanath, Keerthan. “Quantifying the Perceptual Quality of Strain: An Electroglottographic Analysis of Continuous Dysphonic Speech.” 2015. Web. 17 Oct 2019.

Vancouver:

Somanath K. Quantifying the Perceptual Quality of Strain: An Electroglottographic Analysis of Continuous Dysphonic Speech. [Internet] [Thesis]. University of Texas Southwestern Medical Center; 2015. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2152.5/4120.

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

Council of Science Editors:

Somanath K. Quantifying the Perceptual Quality of Strain: An Electroglottographic Analysis of Continuous Dysphonic Speech. [Thesis]. University of Texas Southwestern Medical Center; 2015. Available from: http://hdl.handle.net/2152.5/4120

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


University of Western Ontario

14. Aker, Scott. Objective and Subjective Evaluation of Binaural Beamformers in Hearing Aids.

Degree: 2019, University of Western Ontario

 Hearing aids use a variety of noise reduction techniques to enhance the experience of hearing impaired listeners. One of these techniques is beamforming, which typically… (more)

Subjects/Keywords: Hearing aids; binaural beamforming; noise reduction; speech quality; speech intelligibility; Signal Processing

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APA (6th Edition):

Aker, S. (2019). Objective and Subjective Evaluation of Binaural Beamformers in Hearing Aids. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/6478

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):

Aker, Scott. “Objective and Subjective Evaluation of Binaural Beamformers in Hearing Aids.” 2019. Thesis, University of Western Ontario. Accessed October 17, 2019. https://ir.lib.uwo.ca/etd/6478.

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

MLA Handbook (7th Edition):

Aker, Scott. “Objective and Subjective Evaluation of Binaural Beamformers in Hearing Aids.” 2019. Web. 17 Oct 2019.

Vancouver:

Aker S. Objective and Subjective Evaluation of Binaural Beamformers in Hearing Aids. [Internet] [Thesis]. University of Western Ontario; 2019. [cited 2019 Oct 17]. Available from: https://ir.lib.uwo.ca/etd/6478.

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

Council of Science Editors:

Aker S. Objective and Subjective Evaluation of Binaural Beamformers in Hearing Aids. [Thesis]. University of Western Ontario; 2019. Available from: https://ir.lib.uwo.ca/etd/6478

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

15. P. S. Sathidevi. Speech signal processing some aspects;.

Degree: Electronics Engineering, 2015, University of Calicut

newline

Bibliography p.236-243,Appendices p.246-252

Advisors/Committee Members: Y. Venkataramani.

Subjects/Keywords: Electronics Engineering; Speech signal processing

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APA (6th Edition):

Sathidevi, P. S. (2015). Speech signal processing some aspects;. (Thesis). University of Calicut. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/40427

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):

Sathidevi, P. S.. “Speech signal processing some aspects;.” 2015. Thesis, University of Calicut. Accessed October 17, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/40427.

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

MLA Handbook (7th Edition):

Sathidevi, P. S.. “Speech signal processing some aspects;.” 2015. Web. 17 Oct 2019.

Vancouver:

Sathidevi PS. Speech signal processing some aspects;. [Internet] [Thesis]. University of Calicut; 2015. [cited 2019 Oct 17]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/40427.

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

Council of Science Editors:

Sathidevi PS. Speech signal processing some aspects;. [Thesis]. University of Calicut; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/40427

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


University of Western Australia

16. Farrokhi, Dariush. Single channel speech enhancement in severe noise conditions.

Degree: PhD, 2012, University of Western Australia

[Truncated abstract] SINGLE Channel Non Stationary Noise Speech Enhancement (SCNSNSE) algorithms can be used in many applications including enhancement of pre-recorded speech, hearing aids devices,… (more)

Subjects/Keywords: Speech enhancement; Digital signal processing; Noise estimation algorithm; Spectral subtraction

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

APA (6th Edition):

Farrokhi, D. (2012). Single channel speech enhancement in severe noise conditions. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=32765&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Farrokhi, Dariush. “Single channel speech enhancement in severe noise conditions.” 2012. Doctoral Dissertation, University of Western Australia. Accessed October 17, 2019. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=32765&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Farrokhi, Dariush. “Single channel speech enhancement in severe noise conditions.” 2012. Web. 17 Oct 2019.

Vancouver:

Farrokhi D. Single channel speech enhancement in severe noise conditions. [Internet] [Doctoral dissertation]. University of Western Australia; 2012. [cited 2019 Oct 17]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=32765&local_base=GEN01-INS01.

Council of Science Editors:

Farrokhi D. Single channel speech enhancement in severe noise conditions. [Doctoral Dissertation]. University of Western Australia; 2012. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=32765&local_base=GEN01-INS01


Hong Kong University of Science and Technology

17. 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 (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 17, 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. 17 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 17]. 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

18. 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 17, 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. 17 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 17]. 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

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 17, 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. 17 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 17]. 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


Virginia Tech

20. Wilson, Leslie. The Music Muse.

Degree: MS, Mechanical Engineering, 1996, Virginia Tech

 Ever wonder why two people can sing the same note with the same loudness, but sound completely different? Middle C is middle C no matter… (more)

Subjects/Keywords: signal processing; speech analysis

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APA (6th Edition):

Wilson, L. (1996). The Music Muse. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/36769

Chicago Manual of Style (16th Edition):

Wilson, Leslie. “The Music Muse.” 1996. Masters Thesis, Virginia Tech. Accessed October 17, 2019. http://hdl.handle.net/10919/36769.

MLA Handbook (7th Edition):

Wilson, Leslie. “The Music Muse.” 1996. Web. 17 Oct 2019.

Vancouver:

Wilson L. The Music Muse. [Internet] [Masters thesis]. Virginia Tech; 1996. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10919/36769.

Council of Science Editors:

Wilson L. The Music Muse. [Masters Thesis]. Virginia Tech; 1996. Available from: http://hdl.handle.net/10919/36769


IUPUI

21. Gomes, Joan. Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine.

Degree: 2016, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Emotions are essential for our existence, as they exert great influence on the mental health of people. Speech is the… (more)

Subjects/Keywords: Speech Signal Processing; Emotion Recognition; I-vector Algorithm

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

APA (6th Edition):

Gomes, J. (2016). Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/10821 ; http://dx.doi.org/10.7912/C2359H

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):

Gomes, Joan. “Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine.” 2016. Thesis, IUPUI. Accessed October 17, 2019. http://hdl.handle.net/1805/10821 ; http://dx.doi.org/10.7912/C2359H.

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

MLA Handbook (7th Edition):

Gomes, Joan. “Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine.” 2016. Web. 17 Oct 2019.

Vancouver:

Gomes J. Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine. [Internet] [Thesis]. IUPUI; 2016. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1805/10821 ; http://dx.doi.org/10.7912/C2359H.

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

Council of Science Editors:

Gomes J. Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine. [Thesis]. IUPUI; 2016. Available from: http://hdl.handle.net/1805/10821 ; http://dx.doi.org/10.7912/C2359H

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


McMaster University

22. Ibrahim, Rasha. THE ROLE OF TEMPORAL FINE STRUCTURE CUES IN SPEECH PERCEPTION.

Degree: PhD, 2012, McMaster University

In this thesis, the importance of temporal fine structure (TFS) in speech perception is investigated. It is well accepted that TFS is important for… (more)

Subjects/Keywords: Speech perception; temporal fine structure; envelope recovery; Biomedical; Signal Processing; Biomedical

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

APA (6th Edition):

Ibrahim, R. (2012). THE ROLE OF TEMPORAL FINE STRUCTURE CUES IN SPEECH PERCEPTION. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/11980

Chicago Manual of Style (16th Edition):

Ibrahim, Rasha. “THE ROLE OF TEMPORAL FINE STRUCTURE CUES IN SPEECH PERCEPTION.” 2012. Doctoral Dissertation, McMaster University. Accessed October 17, 2019. http://hdl.handle.net/11375/11980.

MLA Handbook (7th Edition):

Ibrahim, Rasha. “THE ROLE OF TEMPORAL FINE STRUCTURE CUES IN SPEECH PERCEPTION.” 2012. Web. 17 Oct 2019.

Vancouver:

Ibrahim R. THE ROLE OF TEMPORAL FINE STRUCTURE CUES IN SPEECH PERCEPTION. [Internet] [Doctoral dissertation]. McMaster University; 2012. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/11375/11980.

Council of Science Editors:

Ibrahim R. THE ROLE OF TEMPORAL FINE STRUCTURE CUES IN SPEECH PERCEPTION. [Doctoral Dissertation]. McMaster University; 2012. Available from: http://hdl.handle.net/11375/11980


IUPUI

23. Gomes, Joan. Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine.

Degree: 2016, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Emotions are essential for our existence, as they exert great influence on the mental health of people. Speech is the… (more)

Subjects/Keywords: Speech Signal Processing; Emotion Recognition; I-vector Algorithm

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

APA (6th Edition):

Gomes, J. (2016). Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/10821

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):

Gomes, Joan. “Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine.” 2016. Thesis, IUPUI. Accessed October 17, 2019. http://hdl.handle.net/1805/10821.

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

MLA Handbook (7th Edition):

Gomes, Joan. “Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine.” 2016. Web. 17 Oct 2019.

Vancouver:

Gomes J. Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine. [Internet] [Thesis]. IUPUI; 2016. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1805/10821.

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

Council of Science Editors:

Gomes J. Implementation of i-vector algorithm in speech emotion recognition by using two different classifiers : Gaussian mixture model and support vector machine. [Thesis]. IUPUI; 2016. Available from: http://hdl.handle.net/1805/10821

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


Arizona State University

24. Becvar, Brittany Patricia. Developmental Acoustic Analysis of the /r/ Phoneme.

Degree: Communication Disorders, 2017, Arizona State University

 The purpose of this study was to identify acoustic markers that correlate with accurate and inaccurate /r/ production in children ages 5-8 using signal processing.… (more)

Subjects/Keywords: Speech therapy; Acoustic Markers; /r/ articulation; Signal Processing

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

APA (6th Edition):

Becvar, B. P. (2017). Developmental Acoustic Analysis of the /r/ Phoneme. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/44268

Chicago Manual of Style (16th Edition):

Becvar, Brittany Patricia. “Developmental Acoustic Analysis of the /r/ Phoneme.” 2017. Masters Thesis, Arizona State University. Accessed October 17, 2019. http://repository.asu.edu/items/44268.

MLA Handbook (7th Edition):

Becvar, Brittany Patricia. “Developmental Acoustic Analysis of the /r/ Phoneme.” 2017. Web. 17 Oct 2019.

Vancouver:

Becvar BP. Developmental Acoustic Analysis of the /r/ Phoneme. [Internet] [Masters thesis]. Arizona State University; 2017. [cited 2019 Oct 17]. Available from: http://repository.asu.edu/items/44268.

Council of Science Editors:

Becvar BP. Developmental Acoustic Analysis of the /r/ Phoneme. [Masters Thesis]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/44268


AUT University

25. Anderson, Steven James. Lip reading from thermal cameras .

Degree: 2012, AUT University

 A constructive research methodology has been used to explore the use of thermal images for improving Automatic Speech Recognition (ASR) performance. Previous research has shown… (more)

Subjects/Keywords: ASR; AVASR; Speech recognition; Thermal video; Signal processing; Motion templates

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

APA (6th Edition):

Anderson, S. J. (2012). Lip reading from thermal cameras . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/4741

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):

Anderson, Steven James. “Lip reading from thermal cameras .” 2012. Thesis, AUT University. Accessed October 17, 2019. http://hdl.handle.net/10292/4741.

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

MLA Handbook (7th Edition):

Anderson, Steven James. “Lip reading from thermal cameras .” 2012. Web. 17 Oct 2019.

Vancouver:

Anderson SJ. Lip reading from thermal cameras . [Internet] [Thesis]. AUT University; 2012. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10292/4741.

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

Council of Science Editors:

Anderson SJ. Lip reading from thermal cameras . [Thesis]. AUT University; 2012. Available from: http://hdl.handle.net/10292/4741

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


Indian Institute of Science

26. 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 17, 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. 17 Oct 2019.

Vancouver:

Suryanarayana VK. Spectro-Temporal Features For Robust Automatic Speech Recognition. [Internet] [Thesis]. Indian Institute of Science; 2009. [cited 2019 Oct 17]. 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


University of Southern California

27. Metallinou, Angeliki. Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 Human expressive communication is characterized by the continuous flow of multimodal information, such as facial, vocal and bodily gestures, which may convey the participant's affect.… (more)

Subjects/Keywords: multimodal signal processing; speech processing; affective computing; machine learning; healthcare; autism spectrum disorders

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APA (6th Edition):

Metallinou, A. (2013). Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/318864/rec/4264

Chicago Manual of Style (16th Edition):

Metallinou, Angeliki. “Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 17, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/318864/rec/4264.

MLA Handbook (7th Edition):

Metallinou, Angeliki. “Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare.” 2013. Web. 17 Oct 2019.

Vancouver:

Metallinou A. Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/318864/rec/4264.

Council of Science Editors:

Metallinou A. Multimodality, context and continuous dynamics for recognition and analysis of emotional states, and applications in healthcare. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/318864/rec/4264


Brno University of Technology

28. Herinek, Denis. Výzkum rozdílů působení hypokinetické dysartrie u mužů a žen .

Degree: 2016, Brno University of Technology

 Táto bakalárska práca sa zaoberá výskumom rozdielov pôsobenia hypokinetickej dyzartrie u mužov a žien, analyzovaním rečového cvičenia čítanie štandardizovaného textu. Parkinsonova choroba sa prejavuje u… (more)

Subjects/Keywords: Hypokinetická dyzartria; Parkinsonova choroba; predspracovanie rečového signálu; spracovanie rečového signálu; rečový parameter; štatistická analýza; Hypokinetic dysarthria; Parkinson's disease; speech signal pre-processing; speech signal processing; speech parameter; statistic analysis

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

APA (6th Edition):

Herinek, D. (2016). Výzkum rozdílů působení hypokinetické dysartrie u mužů a žen . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/61577

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):

Herinek, Denis. “Výzkum rozdílů působení hypokinetické dysartrie u mužů a žen .” 2016. Thesis, Brno University of Technology. Accessed October 17, 2019. http://hdl.handle.net/11012/61577.

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

MLA Handbook (7th Edition):

Herinek, Denis. “Výzkum rozdílů působení hypokinetické dysartrie u mužů a žen .” 2016. Web. 17 Oct 2019.

Vancouver:

Herinek D. Výzkum rozdílů působení hypokinetické dysartrie u mužů a žen . [Internet] [Thesis]. Brno University of Technology; 2016. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/11012/61577.

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

Council of Science Editors:

Herinek D. Výzkum rozdílů působení hypokinetické dysartrie u mužů a žen . [Thesis]. Brno University of Technology; 2016. Available from: http://hdl.handle.net/11012/61577

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


Brigham Young University

29. Christensen, Carl V. Fluency Features and Elicited Imitation as Oral Proficiency Measurement.

Degree: MA, 2012, Brigham Young University

 The objective and automatic grading of oral language tests has been the subject of significant research in recent years. Several obstacles lie in the way… (more)

Subjects/Keywords: Second language oral proficiency; Elicited Imitation; Simulated Speech; Automatic Speech Recognition; language modalities; speech signal processing; computerized oral test; Linguistics

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

APA (6th Edition):

Christensen, C. V. (2012). Fluency Features and Elicited Imitation as Oral Proficiency Measurement. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4113&context=etd

Chicago Manual of Style (16th Edition):

Christensen, Carl V. “Fluency Features and Elicited Imitation as Oral Proficiency Measurement.” 2012. Masters Thesis, Brigham Young University. Accessed October 17, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4113&context=etd.

MLA Handbook (7th Edition):

Christensen, Carl V. “Fluency Features and Elicited Imitation as Oral Proficiency Measurement.” 2012. Web. 17 Oct 2019.

Vancouver:

Christensen CV. Fluency Features and Elicited Imitation as Oral Proficiency Measurement. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2019 Oct 17]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4113&context=etd.

Council of Science Editors:

Christensen CV. Fluency Features and Elicited Imitation as Oral Proficiency Measurement. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4113&context=etd

30. Gabriel, Karim. The development of a Speech Level Adjustment Technique for late Deaf People.

Degree: 2009, , Department of Signal Processing

  People that become deaf later on in life do have the ability to speak with correct pronunciation but since they can not hear their… (more)

Subjects/Keywords: Signal processing; Deaf; Noise calculation; speech pause detector; Signal Processing; Signalbehandling; Human Computer Interaction; Människa-datorinteraktion (interaktionsdesign); Telecommunications; Telekommunikation

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

APA (6th Edition):

Gabriel, K. (2009). The development of a Speech Level Adjustment Technique for late Deaf People. (Thesis). , Department of Signal Processing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4143

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):

Gabriel, Karim. “The development of a Speech Level Adjustment Technique for late Deaf People.” 2009. Thesis, , Department of Signal Processing. Accessed October 17, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4143.

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

MLA Handbook (7th Edition):

Gabriel, Karim. “The development of a Speech Level Adjustment Technique for late Deaf People.” 2009. Web. 17 Oct 2019.

Vancouver:

Gabriel K. The development of a Speech Level Adjustment Technique for late Deaf People. [Internet] [Thesis]. , Department of Signal Processing; 2009. [cited 2019 Oct 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4143.

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

Council of Science Editors:

Gabriel K. The development of a Speech Level Adjustment Technique for late Deaf People. [Thesis]. , Department of Signal Processing; 2009. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4143

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

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