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You searched for subject:(speech processing). Showing records 1 – 30 of 245 total matches.

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University of Texas – Austin

1. -5484-2532. Listening under pressure : the downside of motivation.

Degree: PhD, Communication Sciences & Disorders, 2017, University of Texas – Austin

 The desire for self-improvement is critical to human performance and learning outcomes. Paradoxically, however, being subjected to increased performance pressure can also result in “choking… (more)

Subjects/Keywords: Motivation; Speech processing; Speech and hearing science

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APA (6th Edition):

-5484-2532. (2017). Listening under pressure : the downside of motivation. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68142

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-5484-2532. “Listening under pressure : the downside of motivation.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed October 17, 2019. http://hdl.handle.net/2152/68142.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-5484-2532. “Listening under pressure : the downside of motivation.” 2017. Web. 17 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5484-2532. Listening under pressure : the downside of motivation. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2152/68142.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-5484-2532. Listening under pressure : the downside of motivation. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/68142

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of North Carolina – Greensboro

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

Degree: 2016, University of North Carolina – Greensboro

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Wendell, Tyler James. “Feature extraction and feature reduction for spoken letter recognition.” 2016. Masters Thesis, University of North Carolina – Greensboro. Accessed October 17, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=19822.

MLA Handbook (7th Edition):

Wendell, Tyler James. “Feature extraction and feature reduction for spoken letter recognition.” 2016. Web. 17 Oct 2019.

Vancouver:

Wendell TJ. Feature extraction and feature reduction for spoken letter recognition. [Internet] [Masters thesis]. University of North Carolina – Greensboro; 2016. [cited 2019 Oct 17]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=19822.

Council of Science Editors:

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


University of Illinois – Urbana-Champaign

3. 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

4. Hosom, John-Paul. Automatic time alignment of phonemes using acoustic-phonetic information.

Degree: PhD, 2000, Oregon Health Sciences University

Subjects/Keywords: Speech processing systems

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APA (6th Edition):

Hosom, J. (2000). Automatic time alignment of phonemes using acoustic-phonetic information. (Doctoral Dissertation). Oregon Health Sciences University. Retrieved from doi:10.6083/M4CF9N1F ; http://digitalcommons.ohsu.edu/etd/175

Chicago Manual of Style (16th Edition):

Hosom, John-Paul. “Automatic time alignment of phonemes using acoustic-phonetic information.” 2000. Doctoral Dissertation, Oregon Health Sciences University. Accessed October 17, 2019. doi:10.6083/M4CF9N1F ; http://digitalcommons.ohsu.edu/etd/175.

MLA Handbook (7th Edition):

Hosom, John-Paul. “Automatic time alignment of phonemes using acoustic-phonetic information.” 2000. Web. 17 Oct 2019.

Vancouver:

Hosom J. Automatic time alignment of phonemes using acoustic-phonetic information. [Internet] [Doctoral dissertation]. Oregon Health Sciences University; 2000. [cited 2019 Oct 17]. Available from: doi:10.6083/M4CF9N1F ; http://digitalcommons.ohsu.edu/etd/175.

Council of Science Editors:

Hosom J. Automatic time alignment of phonemes using acoustic-phonetic information. [Doctoral Dissertation]. Oregon Health Sciences University; 2000. Available from: doi:10.6083/M4CF9N1F ; http://digitalcommons.ohsu.edu/etd/175


Georgia Tech

5. Marr, James Douglas. Two dimensional prediction for data rate compression of LPC parameters.

Degree: PhD, Electric engineering, 1980, Georgia Tech

Subjects/Keywords: Speech processing systems

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APA (6th Edition):

Marr, J. D. (1980). Two dimensional prediction for data rate compression of LPC parameters. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/32798

Chicago Manual of Style (16th Edition):

Marr, James Douglas. “Two dimensional prediction for data rate compression of LPC parameters.” 1980. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/32798.

MLA Handbook (7th Edition):

Marr, James Douglas. “Two dimensional prediction for data rate compression of LPC parameters.” 1980. Web. 17 Oct 2019.

Vancouver:

Marr JD. Two dimensional prediction for data rate compression of LPC parameters. [Internet] [Doctoral dissertation]. Georgia Tech; 1980. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/32798.

Council of Science Editors:

Marr JD. Two dimensional prediction for data rate compression of LPC parameters. [Doctoral Dissertation]. Georgia Tech; 1980. Available from: http://hdl.handle.net/1853/32798


Oregon State University

6. Herr, Alan Jack. Pattern recognition of speech using hybrid computer feature extraction.

Degree: PhD, Electrical and Computer Engineering, 1974, Oregon State University

 Most technological problems associated with man-machine conversations have been solved and are well documented in both the contemporary technical and lay literature. The major remaining… (more)

Subjects/Keywords: Speech processing systems

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APA (6th Edition):

Herr, A. J. (1974). Pattern recognition of speech using hybrid computer feature extraction. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/45574

Chicago Manual of Style (16th Edition):

Herr, Alan Jack. “Pattern recognition of speech using hybrid computer feature extraction.” 1974. Doctoral Dissertation, Oregon State University. Accessed October 17, 2019. http://hdl.handle.net/1957/45574.

MLA Handbook (7th Edition):

Herr, Alan Jack. “Pattern recognition of speech using hybrid computer feature extraction.” 1974. Web. 17 Oct 2019.

Vancouver:

Herr AJ. Pattern recognition of speech using hybrid computer feature extraction. [Internet] [Doctoral dissertation]. Oregon State University; 1974. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1957/45574.

Council of Science Editors:

Herr AJ. Pattern recognition of speech using hybrid computer feature extraction. [Doctoral Dissertation]. Oregon State University; 1974. Available from: http://hdl.handle.net/1957/45574


Kansas State University

7. Solanki, Niranjan U. Digital speech processing techniques.

Degree: 1974, Kansas State University

Subjects/Keywords: Speech processing systems

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APA (6th Edition):

Solanki, N. U. (1974). Digital speech processing techniques. (Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/8352

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):

Solanki, Niranjan U. “Digital speech processing techniques.” 1974. Thesis, Kansas State University. Accessed October 17, 2019. http://hdl.handle.net/2097/8352.

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

MLA Handbook (7th Edition):

Solanki, Niranjan U. “Digital speech processing techniques.” 1974. Web. 17 Oct 2019.

Vancouver:

Solanki NU. Digital speech processing techniques. [Internet] [Thesis]. Kansas State University; 1974. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2097/8352.

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

Council of Science Editors:

Solanki NU. Digital speech processing techniques. [Thesis]. Kansas State University; 1974. Available from: http://hdl.handle.net/2097/8352

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


University of Illinois – Urbana-Champaign

8. Jacobs, Cassandra L. Knowing a thing is "a thing": The use of acoustic features in multiword expression extraction.

Degree: MS, Computer Science, 2016, University of Illinois – Urbana-Champaign

 Speakers of a language need to have complex linguistic representations for speaking, often on the level of non-literal, idiomatic expressions like black sheep. Typically, datasets… (more)

Subjects/Keywords: Collocations; Phrases; Speech processing; Language models

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APA (6th Edition):

Jacobs, C. L. (2016). Knowing a thing is "a thing": The use of acoustic features in multiword expression extraction. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92965

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):

Jacobs, Cassandra L. “Knowing a thing is "a thing": The use of acoustic features in multiword expression extraction.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/92965.

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

MLA Handbook (7th Edition):

Jacobs, Cassandra L. “Knowing a thing is "a thing": The use of acoustic features in multiword expression extraction.” 2016. Web. 17 Oct 2019.

Vancouver:

Jacobs CL. Knowing a thing is "a thing": The use of acoustic features in multiword expression extraction. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/92965.

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

Council of Science Editors:

Jacobs CL. Knowing a thing is "a thing": The use of acoustic features in multiword expression extraction. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92965

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


Rutgers University

9. Hou, Jun, 1974-. On the use of frame and segment-based methods for the detection and classification of speech sounds and features:.

Degree: PhD, Electrical and Computer Engineering, 2009, Rutgers University

Statistical data-driven methods and knowledge-based methods are two recent trends in Automatic Speech Recognition (ASR). Hidden Markov Model (HMM)-based speech recognition techniques have achieved great… (more)

Subjects/Keywords: Speech processing systems

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APA (6th Edition):

Hou, Jun, 1. (2009). On the use of frame and segment-based methods for the detection and classification of speech sounds and features:. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051833

Chicago Manual of Style (16th Edition):

Hou, Jun, 1974-. “On the use of frame and segment-based methods for the detection and classification of speech sounds and features:.” 2009. Doctoral Dissertation, Rutgers University. Accessed October 17, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051833.

MLA Handbook (7th Edition):

Hou, Jun, 1974-. “On the use of frame and segment-based methods for the detection and classification of speech sounds and features:.” 2009. Web. 17 Oct 2019.

Vancouver:

Hou, Jun 1. On the use of frame and segment-based methods for the detection and classification of speech sounds and features:. [Internet] [Doctoral dissertation]. Rutgers University; 2009. [cited 2019 Oct 17]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051833.

Council of Science Editors:

Hou, Jun 1. On the use of frame and segment-based methods for the detection and classification of speech sounds and features:. [Doctoral Dissertation]. Rutgers University; 2009. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051833


Arizona State University

10. Berg, Dena Beth. Manifestation of Higher-order Cognitive Processing Deficits Resulting from Concussion.

Degree: MS, Speech and Hearing Science, 2013, Arizona State University

 Concussion, a subset of mild traumatic brain injury (mTBI), has recently been brought to the forefront of the media due to a large lawsuit filed… (more)

Subjects/Keywords: Speech therapy; Mental health; cognitive processing; concussion

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APA (6th Edition):

Berg, D. B. (2013). Manifestation of Higher-order Cognitive Processing Deficits Resulting from Concussion. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/17846

Chicago Manual of Style (16th Edition):

Berg, Dena Beth. “Manifestation of Higher-order Cognitive Processing Deficits Resulting from Concussion.” 2013. Masters Thesis, Arizona State University. Accessed October 17, 2019. http://repository.asu.edu/items/17846.

MLA Handbook (7th Edition):

Berg, Dena Beth. “Manifestation of Higher-order Cognitive Processing Deficits Resulting from Concussion.” 2013. Web. 17 Oct 2019.

Vancouver:

Berg DB. Manifestation of Higher-order Cognitive Processing Deficits Resulting from Concussion. [Internet] [Masters thesis]. Arizona State University; 2013. [cited 2019 Oct 17]. Available from: http://repository.asu.edu/items/17846.

Council of Science Editors:

Berg DB. Manifestation of Higher-order Cognitive Processing Deficits Resulting from Concussion. [Masters Thesis]. Arizona State University; 2013. Available from: http://repository.asu.edu/items/17846


Montana State University

11. Rupert, William Phillips. A representation for the information-carrying units of natural speech.

Degree: College of Engineering, 1969, Montana State University

Subjects/Keywords: Speech.; Speech processing systems.

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APA (6th Edition):

Rupert, W. P. (1969). A representation for the information-carrying units of natural speech. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/4544

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):

Rupert, William Phillips. “A representation for the information-carrying units of natural speech.” 1969. Thesis, Montana State University. Accessed October 17, 2019. https://scholarworks.montana.edu/xmlui/handle/1/4544.

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

MLA Handbook (7th Edition):

Rupert, William Phillips. “A representation for the information-carrying units of natural speech.” 1969. Web. 17 Oct 2019.

Vancouver:

Rupert WP. A representation for the information-carrying units of natural speech. [Internet] [Thesis]. Montana State University; 1969. [cited 2019 Oct 17]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/4544.

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

Council of Science Editors:

Rupert WP. A representation for the information-carrying units of natural speech. [Thesis]. Montana State University; 1969. Available from: https://scholarworks.montana.edu/xmlui/handle/1/4544

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


Columbia University

12. Randazzo, Melissa. Audiovisual Integration in Apraxia of Speech: EEG Evidence for Processing Differences.

Degree: 2016, Columbia University

Speech perception is a unique audiovisual experience in part because timing of the speech signal is influenced by simultaneous overlapping gestures in coarticulation. Apraxia of… (more)

Subjects/Keywords: Electroencephalography – Data processing; Speech perception; Apraxia; Speech therapy; Neurosciences

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APA (6th Edition):

Randazzo, M. (2016). Audiovisual Integration in Apraxia of Speech: EEG Evidence for Processing Differences. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D85D8S5H

Chicago Manual of Style (16th Edition):

Randazzo, Melissa. “Audiovisual Integration in Apraxia of Speech: EEG Evidence for Processing Differences.” 2016. Doctoral Dissertation, Columbia University. Accessed October 17, 2019. https://doi.org/10.7916/D85D8S5H.

MLA Handbook (7th Edition):

Randazzo, Melissa. “Audiovisual Integration in Apraxia of Speech: EEG Evidence for Processing Differences.” 2016. Web. 17 Oct 2019.

Vancouver:

Randazzo M. Audiovisual Integration in Apraxia of Speech: EEG Evidence for Processing Differences. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2019 Oct 17]. Available from: https://doi.org/10.7916/D85D8S5H.

Council of Science Editors:

Randazzo M. Audiovisual Integration in Apraxia of Speech: EEG Evidence for Processing Differences. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D85D8S5H


Bowling Green State University

13. Reif, Angela. Self Regulatory Depletion Effects On Speed Within A Complex Speech Processing Task.

Degree: MS, Communication Disorders, 2014, Bowling Green State University

 Past research has supported the idea that self-regulation uses a limited resource which is subject to depletion (Hagger, Wood, Stiff, & Chatzisarantis, 2010). Depletion has… (more)

Subjects/Keywords: Speech Therapy; Cognitive Psychology; Psychology; depletion; speech processing; processing speed; self-regulation; executive function

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APA (6th Edition):

Reif, A. (2014). Self Regulatory Depletion Effects On Speed Within A Complex Speech Processing Task. (Masters Thesis). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1400183863

Chicago Manual of Style (16th Edition):

Reif, Angela. “Self Regulatory Depletion Effects On Speed Within A Complex Speech Processing Task.” 2014. Masters Thesis, Bowling Green State University. Accessed October 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1400183863.

MLA Handbook (7th Edition):

Reif, Angela. “Self Regulatory Depletion Effects On Speed Within A Complex Speech Processing Task.” 2014. Web. 17 Oct 2019.

Vancouver:

Reif A. Self Regulatory Depletion Effects On Speed Within A Complex Speech Processing Task. [Internet] [Masters thesis]. Bowling Green State University; 2014. [cited 2019 Oct 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1400183863.

Council of Science Editors:

Reif A. Self Regulatory Depletion Effects On Speed Within A Complex Speech Processing Task. [Masters Thesis]. Bowling Green State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1400183863


University of Southern California

14. 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 (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

15. 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

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

Degree: PhD, 2004, Oregon Health Sciences University

Subjects/Keywords: Automatic speech recognition; Speech processing systems

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Adami, Andre Gustavo. “Modeling prosodic differences for speaker and language recognition.” 2004. Doctoral Dissertation, Oregon Health Sciences University. Accessed October 17, 2019. doi:10.6083/M4NP22C4 ; http://digitalcommons.ohsu.edu/etd/18.

MLA Handbook (7th Edition):

Adami, Andre Gustavo. “Modeling prosodic differences for speaker and language recognition.” 2004. Web. 17 Oct 2019.

Vancouver:

Adami AG. Modeling prosodic differences for speaker and language recognition. [Internet] [Doctoral dissertation]. Oregon Health Sciences University; 2004. [cited 2019 Oct 17]. Available from: doi:10.6083/M4NP22C4 ; http://digitalcommons.ohsu.edu/etd/18.

Council of Science Editors:

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

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

Degree: PhD, 1999, Oregon Health Sciences University

Subjects/Keywords: Automatic speech recognition; Speech processing systems

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

APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Hu, Zhihong. “Understanding and adapting to speaker variability using correlation-based principal component analysis.” 1999. Doctoral Dissertation, Oregon Health Sciences University. Accessed October 17, 2019. doi:10.6083/M46Q1VFG ; http://digitalcommons.ohsu.edu/etd/2537.

MLA Handbook (7th Edition):

Hu, Zhihong. “Understanding and adapting to speaker variability using correlation-based principal component analysis.” 1999. Web. 17 Oct 2019.

Vancouver:

Hu Z. Understanding and adapting to speaker variability using correlation-based principal component analysis. [Internet] [Doctoral dissertation]. Oregon Health Sciences University; 1999. [cited 2019 Oct 17]. Available from: doi:10.6083/M46Q1VFG ; http://digitalcommons.ohsu.edu/etd/2537.

Council of Science Editors:

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


Case Western Reserve University

18. Letsky, Sarah Michelle. The Nature of the Relationship of Speech and Language Impairment and Speed of Processing Time.

Degree: MA, Communication Sciences, 2010, Case Western Reserve University

 <b>Purpose:</b> Studies have shown that children with language impairment (LI) have slower speed of processing times in a variety of modalities than children with typical… (more)

Subjects/Keywords: Language; Speech Therapy; speed of processing time; speech sound disorders; language impairment

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

APA (6th Edition):

Letsky, S. M. (2010). The Nature of the Relationship of Speech and Language Impairment and Speed of Processing Time. (Masters Thesis). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1270086733

Chicago Manual of Style (16th Edition):

Letsky, Sarah Michelle. “The Nature of the Relationship of Speech and Language Impairment and Speed of Processing Time.” 2010. Masters Thesis, Case Western Reserve University. Accessed October 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1270086733.

MLA Handbook (7th Edition):

Letsky, Sarah Michelle. “The Nature of the Relationship of Speech and Language Impairment and Speed of Processing Time.” 2010. Web. 17 Oct 2019.

Vancouver:

Letsky SM. The Nature of the Relationship of Speech and Language Impairment and Speed of Processing Time. [Internet] [Masters thesis]. Case Western Reserve University; 2010. [cited 2019 Oct 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1270086733.

Council of Science Editors:

Letsky SM. The Nature of the Relationship of Speech and Language Impairment and Speed of Processing Time. [Masters Thesis]. Case Western Reserve University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1270086733


University of Minnesota

19. Krause, Miriam Ottilie. The effects of brain injury and talker characteristics on speech processing in a single-talker interference task.

Degree: PhD, Speech-Language-Hearing Sciences, 2011, University of Minnesota

 People who have experienced traumatic brain injury (TBI) often report increased difficulty processing speech than they experienced before their injuries; and this difficulty is not… (more)

Subjects/Keywords: Mixed methods; Non-native accented speech intelligibility; Single-talker interference; Speech processing; Traumatic brain injury

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APA (6th Edition):

Krause, M. O. (2011). The effects of brain injury and talker characteristics on speech processing in a single-talker interference task. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/115929

Chicago Manual of Style (16th Edition):

Krause, Miriam Ottilie. “The effects of brain injury and talker characteristics on speech processing in a single-talker interference task.” 2011. Doctoral Dissertation, University of Minnesota. Accessed October 17, 2019. http://purl.umn.edu/115929.

MLA Handbook (7th Edition):

Krause, Miriam Ottilie. “The effects of brain injury and talker characteristics on speech processing in a single-talker interference task.” 2011. Web. 17 Oct 2019.

Vancouver:

Krause MO. The effects of brain injury and talker characteristics on speech processing in a single-talker interference task. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2019 Oct 17]. Available from: http://purl.umn.edu/115929.

Council of Science Editors:

Krause MO. The effects of brain injury and talker characteristics on speech processing in a single-talker interference task. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/115929


Rochester Institute of Technology

20. Gayvert, Robert T. A Statistical approach to formant tracking.

Degree: Computer Science (GCCIS), 1989, Rochester Institute of Technology

 This thesis investigates a statistical approach to tracking formant trajectories in continuous speech. In this approach a probability measure is applied to a set of… (more)

Subjects/Keywords: Speech processing; Automatic speech recognition; Formants

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APA (6th Edition):

Gayvert, R. T. (1989). A Statistical approach to formant tracking. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/338

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):

Gayvert, Robert T. “A Statistical approach to formant tracking.” 1989. Thesis, Rochester Institute of Technology. Accessed October 17, 2019. https://scholarworks.rit.edu/theses/338.

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

MLA Handbook (7th Edition):

Gayvert, Robert T. “A Statistical approach to formant tracking.” 1989. Web. 17 Oct 2019.

Vancouver:

Gayvert RT. A Statistical approach to formant tracking. [Internet] [Thesis]. Rochester Institute of Technology; 1989. [cited 2019 Oct 17]. Available from: https://scholarworks.rit.edu/theses/338.

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

Council of Science Editors:

Gayvert RT. A Statistical approach to formant tracking. [Thesis]. Rochester Institute of Technology; 1989. Available from: https://scholarworks.rit.edu/theses/338

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

21. 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 Arizona

22. Boulay, Paul Frederick, 1936-. Improved clipped speech systems .

Degree: 1964, University of Arizona

Subjects/Keywords: Speech processing systems.; Speech, Intelligibility of.

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APA (6th Edition):

Boulay, Paul Frederick, 1. (1964). Improved clipped speech systems . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/319833

Chicago Manual of Style (16th Edition):

Boulay, Paul Frederick, 1936-. “Improved clipped speech systems .” 1964. Masters Thesis, University of Arizona. Accessed October 17, 2019. http://hdl.handle.net/10150/319833.

MLA Handbook (7th Edition):

Boulay, Paul Frederick, 1936-. “Improved clipped speech systems .” 1964. Web. 17 Oct 2019.

Vancouver:

Boulay, Paul Frederick 1. Improved clipped speech systems . [Internet] [Masters thesis]. University of Arizona; 1964. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10150/319833.

Council of Science Editors:

Boulay, Paul Frederick 1. Improved clipped speech systems . [Masters Thesis]. University of Arizona; 1964. Available from: http://hdl.handle.net/10150/319833


Brigham Young University

23. 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


University of Miami

24. Iliev, Alexander Iliev. Emotion Recognition Using Glottal and Prosodic Features.

Degree: PhD, Electrical and Computer Engineering (Engineering), 2009, University of Miami

  Emotion conveys the psychological state of a person. It is expressed by a variety of physiological changes, such as changes in blood pressure, heart… (more)

Subjects/Keywords: Speech Processing; Speech Emotion Recognition; Emotion Recognition; Speech Recognition

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APA (6th Edition):

Iliev, A. I. (2009). Emotion Recognition Using Glottal and Prosodic Features. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/515

Chicago Manual of Style (16th Edition):

Iliev, Alexander Iliev. “Emotion Recognition Using Glottal and Prosodic Features.” 2009. Doctoral Dissertation, University of Miami. Accessed October 17, 2019. https://scholarlyrepository.miami.edu/oa_dissertations/515.

MLA Handbook (7th Edition):

Iliev, Alexander Iliev. “Emotion Recognition Using Glottal and Prosodic Features.” 2009. Web. 17 Oct 2019.

Vancouver:

Iliev AI. Emotion Recognition Using Glottal and Prosodic Features. [Internet] [Doctoral dissertation]. University of Miami; 2009. [cited 2019 Oct 17]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/515.

Council of Science Editors:

Iliev AI. Emotion Recognition Using Glottal and Prosodic Features. [Doctoral Dissertation]. University of Miami; 2009. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/515


Georgia Tech

25. Odelowo, Babafemi. DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 Neural networks are powerful machine learning models that have, in the last few years, been applied to several audio and speech signal processing problems including… (more)

Subjects/Keywords: Speech enhancement; Noise reduction; Speech quality; Speech intelligibility; Extreme learning machines (ELM); Deep neural networks; Supervised learning; Post processing

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

APA (6th Edition):

Odelowo, B. (2018). DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61617

Chicago Manual of Style (16th Edition):

Odelowo, Babafemi. “DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/61617.

MLA Handbook (7th Edition):

Odelowo, Babafemi. “DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM.” 2018. Web. 17 Oct 2019.

Vancouver:

Odelowo B. DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/61617.

Council of Science Editors:

Odelowo B. DEVELOPMENT OF A NEURAL NETWORK-BASED SPEECH ENHANCEMENT SYSTEM. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61617


University of Arizona

26. Peters, Richard Alan, II. A LINEAR PREDICTION CODING MODEL OF SPEECH (SYNTHESIS, LPC, COMPUTER, ELECTRONIC) .

Degree: 1985, University of Arizona

Subjects/Keywords: Speech processing systems.; Automatic speech recognition.; Speech synthesis.

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APA (6th Edition):

Peters, Richard Alan, I. (1985). A LINEAR PREDICTION CODING MODEL OF SPEECH (SYNTHESIS, LPC, COMPUTER, ELECTRONIC) . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/291240

Chicago Manual of Style (16th Edition):

Peters, Richard Alan, II. “A LINEAR PREDICTION CODING MODEL OF SPEECH (SYNTHESIS, LPC, COMPUTER, ELECTRONIC) .” 1985. Masters Thesis, University of Arizona. Accessed October 17, 2019. http://hdl.handle.net/10150/291240.

MLA Handbook (7th Edition):

Peters, Richard Alan, II. “A LINEAR PREDICTION CODING MODEL OF SPEECH (SYNTHESIS, LPC, COMPUTER, ELECTRONIC) .” 1985. Web. 17 Oct 2019.

Vancouver:

Peters, Richard Alan I. A LINEAR PREDICTION CODING MODEL OF SPEECH (SYNTHESIS, LPC, COMPUTER, ELECTRONIC) . [Internet] [Masters thesis]. University of Arizona; 1985. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10150/291240.

Council of Science Editors:

Peters, Richard Alan I. A LINEAR PREDICTION CODING MODEL OF SPEECH (SYNTHESIS, LPC, COMPUTER, ELECTRONIC) . [Masters Thesis]. University of Arizona; 1985. Available from: http://hdl.handle.net/10150/291240


Florida Atlantic University

27. Bulek, Savaskan. Sensitivity analysis of blind separation of speech mixtures.

Degree: PhD, 2010, Florida Atlantic University

Summary: Blind source separation (BSS) refers to a class of methods by which multiple sensor signals are combined with the aim of estimating the original… (more)

Subjects/Keywords: Blind source separation – Mathematical models; Signal processing – Digital techniques; Neural networks (Computer science); Automatic speech recognition; Speech processing systems

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APA (6th Edition):

Bulek, S. (2010). Sensitivity analysis of blind separation of speech mixtures. (Doctoral Dissertation). Florida Atlantic University. Retrieved from http://purl.flvc.org/FAU/2953201

Chicago Manual of Style (16th Edition):

Bulek, Savaskan. “Sensitivity analysis of blind separation of speech mixtures.” 2010. Doctoral Dissertation, Florida Atlantic University. Accessed October 17, 2019. http://purl.flvc.org/FAU/2953201.

MLA Handbook (7th Edition):

Bulek, Savaskan. “Sensitivity analysis of blind separation of speech mixtures.” 2010. Web. 17 Oct 2019.

Vancouver:

Bulek S. Sensitivity analysis of blind separation of speech mixtures. [Internet] [Doctoral dissertation]. Florida Atlantic University; 2010. [cited 2019 Oct 17]. Available from: http://purl.flvc.org/FAU/2953201.

Council of Science Editors:

Bulek S. Sensitivity analysis of blind separation of speech mixtures. [Doctoral Dissertation]. Florida Atlantic University; 2010. Available from: http://purl.flvc.org/FAU/2953201

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

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 Southern California

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

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


Kansas State University

30. Sauder, Ronald Dale. Spectrogram generation with a minicomputer and a graphics terminal.

Degree: 1977, Kansas State University

Subjects/Keywords: Speech processing systems; Optical data processing

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

APA (6th Edition):

Sauder, R. D. (1977). Spectrogram generation with a minicomputer and a graphics terminal. (Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/9046

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):

Sauder, Ronald Dale. “Spectrogram generation with a minicomputer and a graphics terminal.” 1977. Thesis, Kansas State University. Accessed October 17, 2019. http://hdl.handle.net/2097/9046.

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

MLA Handbook (7th Edition):

Sauder, Ronald Dale. “Spectrogram generation with a minicomputer and a graphics terminal.” 1977. Web. 17 Oct 2019.

Vancouver:

Sauder RD. Spectrogram generation with a minicomputer and a graphics terminal. [Internet] [Thesis]. Kansas State University; 1977. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2097/9046.

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

Council of Science Editors:

Sauder RD. Spectrogram generation with a minicomputer and a graphics terminal. [Thesis]. Kansas State University; 1977. Available from: http://hdl.handle.net/2097/9046

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

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