Bi-directional phonetic modeling of consonant-vowel speech patterns
This paper studies the dual aspects of speech recognition and synthesis using the consonant-vowel speech patterns. It examines the feasibility of bi-directional phonetic modeling, i.e., articulatory encoding and auditory decoding, in a neural based computational model supplemented with an interactiv...
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sg-ntu-dr.10356-990052020-03-07T13:24:49Z Bi-directional phonetic modeling of consonant-vowel speech patterns Huang, Guangpu Er, Meng Joo School of Electrical and Electronic Engineering IEEE Conference on Industrial Electronics and Applications (7th : 2012 : Singapore) This paper studies the dual aspects of speech recognition and synthesis using the consonant-vowel speech patterns. It examines the feasibility of bi-directional phonetic modeling, i.e., articulatory encoding and auditory decoding, in a neural based computational model supplemented with an interactive learning algorithm. Simulation results demonstrate that the proposed method offers a simple yet elegant solution for improved phonetic representation. This work serves to offer a collective and unified explanation for the dynamic nature of English speech, which holds great potential for future developments of human-like speech processing systems. 2013-08-02T03:19:13Z 2019-12-06T20:02:14Z 2013-08-02T03:19:13Z 2019-12-06T20:02:14Z 2012 2012 Conference Paper Huang, G., & Er, M. J. (2012). Bi-directional phonetic modeling of consonant-vowel speech patterns. 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), 1798-1803. https://hdl.handle.net/10356/99005 http://hdl.handle.net/10220/12845 10.1109/ICIEA.2012.6361019 en |
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This paper studies the dual aspects of speech recognition and synthesis using the consonant-vowel speech patterns. It examines the feasibility of bi-directional phonetic modeling, i.e., articulatory encoding and auditory decoding, in a neural based computational model supplemented with an interactive learning algorithm. Simulation results demonstrate that the proposed method offers a simple yet elegant solution for improved phonetic representation. This work serves to offer a collective and unified explanation for the dynamic nature of English speech, which holds great potential for future developments of human-like speech processing systems. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Huang, Guangpu Er, Meng Joo |
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Conference or Workshop Item |
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Huang, Guangpu Er, Meng Joo |
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Huang, Guangpu Er, Meng Joo Bi-directional phonetic modeling of consonant-vowel speech patterns |
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Huang, Guangpu |
title |
Bi-directional phonetic modeling of consonant-vowel speech patterns |
title_short |
Bi-directional phonetic modeling of consonant-vowel speech patterns |
title_full |
Bi-directional phonetic modeling of consonant-vowel speech patterns |
title_fullStr |
Bi-directional phonetic modeling of consonant-vowel speech patterns |
title_full_unstemmed |
Bi-directional phonetic modeling of consonant-vowel speech patterns |
title_sort |
bi-directional phonetic modeling of consonant-vowel speech patterns |
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2013 |
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https://hdl.handle.net/10356/99005 http://hdl.handle.net/10220/12845 |
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