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University: The Ohio State University

You searched for subject:(speech processing). Showing records 1 – 11 of 11 total matches.

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The Ohio State University

1. Meltzer, David. Speech synthesis by Haar functions with comparison to a terminal analog device.

Degree: PhD, Graduate School, 1972, The Ohio State University

Subjects/Keywords: Engineering; Integrals; Speech processing systems

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APA (6th Edition):

Meltzer, D. (1972). Speech synthesis by Haar functions with comparison to a terminal analog device. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1486728653391049

Chicago Manual of Style (16th Edition):

Meltzer, David. “Speech synthesis by Haar functions with comparison to a terminal analog device.” 1972. Doctoral Dissertation, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486728653391049.

MLA Handbook (7th Edition):

Meltzer, David. “Speech synthesis by Haar functions with comparison to a terminal analog device.” 1972. Web. 19 Oct 2019.

Vancouver:

Meltzer D. Speech synthesis by Haar functions with comparison to a terminal analog device. [Internet] [Doctoral dissertation]. The Ohio State University; 1972. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486728653391049.

Council of Science Editors:

Meltzer D. Speech synthesis by Haar functions with comparison to a terminal analog device. [Doctoral Dissertation]. The Ohio State University; 1972. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486728653391049


The Ohio State University

2. Tuan, Le-ba. Computer design and evaluation of optimal filters for a class of speech sounds by correlation techniques.

Degree: PhD, Graduate School, 1971, The Ohio State University

Subjects/Keywords: Engineering; Speech processing systems

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APA (6th Edition):

Tuan, L. (1971). Computer design and evaluation of optimal filters for a class of speech sounds by correlation techniques. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1486726385808116

Chicago Manual of Style (16th Edition):

Tuan, Le-ba. “Computer design and evaluation of optimal filters for a class of speech sounds by correlation techniques.” 1971. Doctoral Dissertation, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486726385808116.

MLA Handbook (7th Edition):

Tuan, Le-ba. “Computer design and evaluation of optimal filters for a class of speech sounds by correlation techniques.” 1971. Web. 19 Oct 2019.

Vancouver:

Tuan L. Computer design and evaluation of optimal filters for a class of speech sounds by correlation techniques. [Internet] [Doctoral dissertation]. The Ohio State University; 1971. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486726385808116.

Council of Science Editors:

Tuan L. Computer design and evaluation of optimal filters for a class of speech sounds by correlation techniques. [Doctoral Dissertation]. The Ohio State University; 1971. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486726385808116


The Ohio State University

3. Rybarczyk, Aubrey Rachel. Weighting of Visual and Auditory Stimuli in Children with Autism Spectrum Disorders.

Degree: MA, Speech Language Pathology, 2016, The Ohio State University

 Word learning requires the ability to integrate auditory information (e.g., an object’s name—the label) and visual information (e.g., an object itself—the referent). Previous research has… (more)

Subjects/Keywords: Speech Therapy; Psychology; Developmental Psychology; autism; autism spectrum disorders; autism spectrum disorder; ASD; language development; word learning; processing; cognition; auditory processing; visual processing; auditory visual processing

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APA (6th Edition):

Rybarczyk, A. R. (2016). Weighting of Visual and Auditory Stimuli in Children with Autism Spectrum Disorders. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1459977848

Chicago Manual of Style (16th Edition):

Rybarczyk, Aubrey Rachel. “Weighting of Visual and Auditory Stimuli in Children with Autism Spectrum Disorders.” 2016. Masters Thesis, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1459977848.

MLA Handbook (7th Edition):

Rybarczyk, Aubrey Rachel. “Weighting of Visual and Auditory Stimuli in Children with Autism Spectrum Disorders.” 2016. Web. 19 Oct 2019.

Vancouver:

Rybarczyk AR. Weighting of Visual and Auditory Stimuli in Children with Autism Spectrum Disorders. [Internet] [Masters thesis]. The Ohio State University; 2016. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1459977848.

Council of Science Editors:

Rybarczyk AR. Weighting of Visual and Auditory Stimuli in Children with Autism Spectrum Disorders. [Masters Thesis]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1459977848


The Ohio State University

4. Han, Kun. Supervised Speech Separation And Processing.

Degree: PhD, Computer Science and Engineering, 2014, The Ohio State University

 In real-world environments, speech often occurs simultaneously with acoustic interference, such as background noise or reverberation. The interference usually leads to adverse effects on speech(more)

Subjects/Keywords: Computer Science; Supervised learning; Speech separation; Speech processing; Machine learning; Deep Learning; Pitch estimation; Speech Dereverberation; Deep neural networks; Support vector machines

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APA (6th Edition):

Han, K. (2014). Supervised Speech Separation And Processing. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1407865723

Chicago Manual of Style (16th Edition):

Han, Kun. “Supervised Speech Separation And Processing.” 2014. Doctoral Dissertation, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1407865723.

MLA Handbook (7th Edition):

Han, Kun. “Supervised Speech Separation And Processing.” 2014. Web. 19 Oct 2019.

Vancouver:

Han K. Supervised Speech Separation And Processing. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1407865723.

Council of Science Editors:

Han K. Supervised Speech Separation And Processing. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1407865723


The Ohio State University

5. Chi, Ben-chen. Pattern recognition of spoken words based on Haar functions .

Degree: PhD, Graduate School, 1973, The Ohio State University

Subjects/Keywords: Engineering; Speech processing systems; Perceptrons; Integrals

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APA (6th Edition):

Chi, B. (1973). Pattern recognition of spoken words based on Haar functions . (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1486741228238489

Chicago Manual of Style (16th Edition):

Chi, Ben-chen. “Pattern recognition of spoken words based on Haar functions .” 1973. Doctoral Dissertation, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486741228238489.

MLA Handbook (7th Edition):

Chi, Ben-chen. “Pattern recognition of spoken words based on Haar functions .” 1973. Web. 19 Oct 2019.

Vancouver:

Chi B. Pattern recognition of spoken words based on Haar functions . [Internet] [Doctoral dissertation]. The Ohio State University; 1973. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486741228238489.

Council of Science Editors:

Chi B. Pattern recognition of spoken words based on Haar functions . [Doctoral Dissertation]. The Ohio State University; 1973. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486741228238489


The Ohio State University

6. Yan, Qingyang. Factors influencing generalization and maintenance of cross-category imitation of Mandarin regional variants.

Degree: PhD, Linguistics, 2017, The Ohio State University

 Speakers adopt acoustic characteristics of others’ speech, a process known as phonetic imitation, and they also maintain and generalize imitation to novel words to which… (more)

Subjects/Keywords: Linguistics; phonetic imitation; imitation generalization; imitation maintenance; cognitive control; automaticity; phonological representation; exposure amount; exposure variability; Mandarin speech processing; Mandarin regional variants

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APA (6th Edition):

Yan, Q. (2017). Factors influencing generalization and maintenance of cross-category imitation of Mandarin regional variants. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1500593003706543

Chicago Manual of Style (16th Edition):

Yan, Qingyang. “Factors influencing generalization and maintenance of cross-category imitation of Mandarin regional variants.” 2017. Doctoral Dissertation, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500593003706543.

MLA Handbook (7th Edition):

Yan, Qingyang. “Factors influencing generalization and maintenance of cross-category imitation of Mandarin regional variants.” 2017. Web. 19 Oct 2019.

Vancouver:

Yan Q. Factors influencing generalization and maintenance of cross-category imitation of Mandarin regional variants. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1500593003706543.

Council of Science Editors:

Yan Q. Factors influencing generalization and maintenance of cross-category imitation of Mandarin regional variants. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1500593003706543


The Ohio State University

7. Jansche, Martin. Inference of string mappings for speech technology.

Degree: PhD, Linguistics, 2003, The Ohio State University

 Mappings between formal languages play an important role in speech and language processing. This thesis explores issues related to inductive inference or learning of string-to-string… (more)

Subjects/Keywords: Language, Linguistics; computational linguistics; natural language processing; speech technology; speech synthesis; machine learning; weighted transducers; letter-to-sound rules

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APA (6th Edition):

Jansche, M. (2003). Inference of string mappings for speech technology. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1061209163

Chicago Manual of Style (16th Edition):

Jansche, Martin. “Inference of string mappings for speech technology.” 2003. Doctoral Dissertation, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1061209163.

MLA Handbook (7th Edition):

Jansche, Martin. “Inference of string mappings for speech technology.” 2003. Web. 19 Oct 2019.

Vancouver:

Jansche M. Inference of string mappings for speech technology. [Internet] [Doctoral dissertation]. The Ohio State University; 2003. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1061209163.

Council of Science Editors:

Jansche M. Inference of string mappings for speech technology. [Doctoral Dissertation]. The Ohio State University; 2003. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1061209163

8. Weatherholtz, Kodi. Perceptual learning of systemic cross-category vowel variation.

Degree: PhD, Linguistics, 2015, The Ohio State University

  Phonological processes such as vowel chain shifting result in complex systems of cross-category vowel variation across spoken varieties of a language (Labov, 1994). The… (more)

Subjects/Keywords: Linguistics; perceptual learning, vowel variation, spoken word recognition, speech processing, accented speech

…Implications for speech processing . . . . . . . . . . . . . . . . . . . . . . . 179 5.2 Implications… …a talker’s idiolect or accent, can be detrimental to speech processing (Mattys, Davis… …variously defined in research on speech processing (and more generally in the field of… …novel systems designed to probe specific aspects of speech processing, an alternative strategy… …generalization of perceptual learning for speech. Talk presented at The Ohio State University Center… 

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APA (6th Edition):

Weatherholtz, K. (2015). Perceptual learning of systemic cross-category vowel variation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1429782580

Chicago Manual of Style (16th Edition):

Weatherholtz, Kodi. “Perceptual learning of systemic cross-category vowel variation.” 2015. Doctoral Dissertation, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429782580.

MLA Handbook (7th Edition):

Weatherholtz, Kodi. “Perceptual learning of systemic cross-category vowel variation.” 2015. Web. 19 Oct 2019.

Vancouver:

Weatherholtz K. Perceptual learning of systemic cross-category vowel variation. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429782580.

Council of Science Editors:

Weatherholtz K. Perceptual learning of systemic cross-category vowel variation. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429782580


The Ohio State University

9. Srinivasan, Soundararajan. Integrating computational auditory scene analysis and automatic speech recognition.

Degree: PhD, Biomedical Engineering, 2006, The Ohio State University

Speech perception studies indicate that robustness of human speech recognition is primarily due to our ability to segregate a target sound source from other interferences.… (more)

Subjects/Keywords: Computational auditory scene analysis (CASA); Robust automatic speech recognition; Speech segregation; Phonemic restoration; Top-down analysis; Binaural processing; Uncertainty decoding; Multitalker perception

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APA (6th Edition):

Srinivasan, S. (2006). Integrating computational auditory scene analysis and automatic speech recognition. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1158250036

Chicago Manual of Style (16th Edition):

Srinivasan, Soundararajan. “Integrating computational auditory scene analysis and automatic speech recognition.” 2006. Doctoral Dissertation, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1158250036.

MLA Handbook (7th Edition):

Srinivasan, Soundararajan. “Integrating computational auditory scene analysis and automatic speech recognition.” 2006. Web. 19 Oct 2019.

Vancouver:

Srinivasan S. Integrating computational auditory scene analysis and automatic speech recognition. [Internet] [Doctoral dissertation]. The Ohio State University; 2006. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1158250036.

Council of Science Editors:

Srinivasan S. Integrating computational auditory scene analysis and automatic speech recognition. [Doctoral Dissertation]. The Ohio State University; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1158250036

10. Zezinka, Alexandra. Investigation of a Computerized Nonverbal Word-Picture Verification Task in Healthy Adults.

Degree: MA, Speech Language Pathology, 2017, The Ohio State University

 Word-picture verification tasks (WPVTs) have been found to be a more sensitive measure of auditory comprehension compared to multiple choice formats (Breese & Hillis, 2004)… (more)

Subjects/Keywords: Speech Therapy; Language; Linguistics; Aging; Aging; word-picture verification; lexical-semantic; nonverbal; language processing

processing abilities by “compartmentalizing” linguistic processes and reducing motor-speech… …confounds introduced by the motor-speech system that may obscure true lexical-semantic processing… …April 2016 ............................Graduate Fellow, Department of Speech and Hearing… …Graduate Research and Teaching Assistant, Department of Speech and Hearing Science, The Ohio… …Department of Speech and Hearing Science, The Ohio State University Publications Lundine, J. P… 

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APA (6th Edition):

Zezinka, A. (2017). Investigation of a Computerized Nonverbal Word-Picture Verification Task in Healthy Adults. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1491932143220066

Chicago Manual of Style (16th Edition):

Zezinka, Alexandra. “Investigation of a Computerized Nonverbal Word-Picture Verification Task in Healthy Adults.” 2017. Masters Thesis, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1491932143220066.

MLA Handbook (7th Edition):

Zezinka, Alexandra. “Investigation of a Computerized Nonverbal Word-Picture Verification Task in Healthy Adults.” 2017. Web. 19 Oct 2019.

Vancouver:

Zezinka A. Investigation of a Computerized Nonverbal Word-Picture Verification Task in Healthy Adults. [Internet] [Masters thesis]. The Ohio State University; 2017. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1491932143220066.

Council of Science Editors:

Zezinka A. Investigation of a Computerized Nonverbal Word-Picture Verification Task in Healthy Adults. [Masters Thesis]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1491932143220066


The Ohio State University

11. Cheong, Yong Jeon. Worlds of Musics: Cognitive Ethnomusicological Inquiries on Experience of Time and Space in Human Music-making.

Degree: PhD, Music, 2019, The Ohio State University

 This dissertation is a cognitive ethnomusicological investigation regarding how each individual creates his or her own world via different musical behaviors. The goal of this… (more)

Subjects/Keywords: Music; Cognitive Psychology; Philosophy of Science; Evolution and Development; Comparative; music-making; time; space; specific music training; cultural factor; spatiotemporal processing; multisensory integration; audio-tactile; temporal order judgment; simple reaction time; peripersonal space; music evolution; design features; speech surrogates

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APA (6th Edition):

Cheong, Y. J. (2019). Worlds of Musics: Cognitive Ethnomusicological Inquiries on Experience of Time and Space in Human Music-making. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1555598154844572

Chicago Manual of Style (16th Edition):

Cheong, Yong Jeon. “Worlds of Musics: Cognitive Ethnomusicological Inquiries on Experience of Time and Space in Human Music-making.” 2019. Doctoral Dissertation, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555598154844572.

MLA Handbook (7th Edition):

Cheong, Yong Jeon. “Worlds of Musics: Cognitive Ethnomusicological Inquiries on Experience of Time and Space in Human Music-making.” 2019. Web. 19 Oct 2019.

Vancouver:

Cheong YJ. Worlds of Musics: Cognitive Ethnomusicological Inquiries on Experience of Time and Space in Human Music-making. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555598154844572.

Council of Science Editors:

Cheong YJ. Worlds of Musics: Cognitive Ethnomusicological Inquiries on Experience of Time and Space in Human Music-making. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555598154844572

.