On the process of coarticulation for a CELP-based Chinese text-to-speech system using LSP frequencies

Jau Hung Chen; Chung Hsien Wu

On the process of coarticulation for a CELP-based Chinese text-to-speech system using LSP frequencies

資訊工程學系

研究成果: Paper › 同行評審

摘要

This study proposes a novel approach based on Bayesian networks and the LSP frequencies to generate syllable prosody and the coarticulation between two concatenated syllables respectively. The Bayesian network is employed to model the relation between the prosodic information and the linguistic features. Given a Chinese character sequence, the Bayesian network can provide appropriate prosodic information, including pitch contour, syllable intensity, syllable duration and pause duration. Furthermore, the coarticulation is generated by adjusting the LSP frequencies in a CELP-based synthesizer. The synthesized speech is tested on twenty subjects. The test results indicate that the average correct rate is 95.8% for intelligibility, and the mean opinion score (MOS) is 3.2 for naturalness.

原文	English
頁面	37-40
頁數	4
出版狀態	Published - 1996 12月 1
事件	Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust 持續時間: 1996 11月 26 → 1996 11月 29

Other

Other	Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)
城市	Perth, Aust
期間	96-11-26 → 96-11-29

All Science Journal Classification (ASJC) codes

電腦科學應用
電氣與電子工程

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title = "On the process of coarticulation for a CELP-based Chinese text-to-speech system using LSP frequencies",

abstract = "This study proposes a novel approach based on Bayesian networks and the LSP frequencies to generate syllable prosody and the coarticulation between two concatenated syllables respectively. The Bayesian network is employed to model the relation between the prosodic information and the linguistic features. Given a Chinese character sequence, the Bayesian network can provide appropriate prosodic information, including pitch contour, syllable intensity, syllable duration and pause duration. Furthermore, the coarticulation is generated by adjusting the LSP frequencies in a CELP-based synthesizer. The synthesized speech is tested on twenty subjects. The test results indicate that the average correct rate is 95.8% for intelligibility, and the mean opinion score (MOS) is 3.2 for naturalness.",

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year = "1996",

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N2 - This study proposes a novel approach based on Bayesian networks and the LSP frequencies to generate syllable prosody and the coarticulation between two concatenated syllables respectively. The Bayesian network is employed to model the relation between the prosodic information and the linguistic features. Given a Chinese character sequence, the Bayesian network can provide appropriate prosodic information, including pitch contour, syllable intensity, syllable duration and pause duration. Furthermore, the coarticulation is generated by adjusting the LSP frequencies in a CELP-based synthesizer. The synthesized speech is tested on twenty subjects. The test results indicate that the average correct rate is 95.8% for intelligibility, and the mean opinion score (MOS) is 3.2 for naturalness.

AB - This study proposes a novel approach based on Bayesian networks and the LSP frequencies to generate syllable prosody and the coarticulation between two concatenated syllables respectively. The Bayesian network is employed to model the relation between the prosodic information and the linguistic features. Given a Chinese character sequence, the Bayesian network can provide appropriate prosodic information, including pitch contour, syllable intensity, syllable duration and pause duration. Furthermore, the coarticulation is generated by adjusting the LSP frequencies in a CELP-based synthesizer. The synthesized speech is tested on twenty subjects. The test results indicate that the average correct rate is 95.8% for intelligibility, and the mean opinion score (MOS) is 3.2 for naturalness.

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On the process of coarticulation for a CELP-based Chinese text-to-speech system using LSP frequencies

摘要

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All Science Journal Classification (ASJC) codes

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