Presentation | 2004/12/14 NAM-toSpeech Conversion Based on Gaussian Mixture Model Tomoki TODA, Kiyohiro SHIKANO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In order to realize man-to-man communication using Non-Audible Murmur (NAM), which can not be heard by people around a speaker, we perform conversion from NAM to speech (NAM-to-Speech). NAM-to-Speech is a potential technique for realizing "non-speech telephone" that is a technique for communicating each other by talking in NAM and hearing in speech. In this paper, we apply a statistical conversion method based on Gaussian Mixture Model (GMM) to NAM-to-Speech. In advance, we train GMMs for representing correlations between acoustic features of NAM and speech. In the conversion, we estimate acoustic spectral and FQ features of speech based on maximum likelihood criterion and synthesize the converted speech with the vocoder. From results of preliminary subjective evaluations on intelligibility and naturalness, it is shown that the NAM-to-Speech with GMMs can convert NAM to more natural voice while keeping intelligibility. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | NAM / NAM-to-Speech / GMM / intelligibility / naturalness |
Paper # | NLC2004-67,SP2004-107 |
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Committee | NLC |
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Conference Date | 2004/12/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | NAM-toSpeech Conversion Based on Gaussian Mixture Model |
Sub Title (in English) | |
Keyword(1) | NAM |
Keyword(2) | NAM-to-Speech |
Keyword(3) | GMM |
Keyword(4) | intelligibility |
Keyword(5) | naturalness |
1st Author's Name | Tomoki TODA |
1st Author's Affiliation | Graduate School of Engineering, Nagoya Institute of Technology() |
2nd Author's Name | Kiyohiro SHIKANO |
2nd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
Date | 2004/12/14 |
Paper # | NLC2004-67,SP2004-107 |
Volume (vol) | vol.104 |
Number (no) | 539 |
Page | pp.pp.- |
#Pages | 6 |
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