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...
Main Authors: | , |
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Format: | Conference Paper |
Language: | English |
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2013
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Online Access: | https://hdl.handle.net/10356/99005 http://hdl.handle.net/10220/12845 |
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author | Huang, Guangpu Er, Meng Joo |
author2 | School of Electrical and Electronic Engineering |
author_facet | School of Electrical and Electronic Engineering Huang, Guangpu Er, Meng Joo |
author_sort | Huang, Guangpu |
collection | NTU |
description | 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. |
first_indexed | 2024-10-01T06:31:05Z |
format | Conference Paper |
id | ntu-10356/99005 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T06:31:05Z |
publishDate | 2013 |
record_format | dspace |
spelling | ntu-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 |
spellingShingle | Huang, Guangpu Er, Meng Joo Bi-directional phonetic modeling of consonant-vowel speech patterns |
title | 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_short | Bi-directional phonetic modeling of consonant-vowel speech patterns |
title_sort | bi directional phonetic modeling of consonant vowel speech patterns |
url | https://hdl.handle.net/10356/99005 http://hdl.handle.net/10220/12845 |
work_keys_str_mv | AT huangguangpu bidirectionalphoneticmodelingofconsonantvowelspeechpatterns AT ermengjoo bidirectionalphoneticmodelingofconsonantvowelspeechpatterns |