Presentation 2001/9/21
Acoustic Analysis and Recognition of Whispered Speech
Taisuke Ito, Kazuya Takeda, Fumitada Itakura,
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Abstract(in English) In this paper, acoustic properties and the recognition method of whispered speech are discussed. A whispered speech database that consists of whispered speech, normal speech and their corresponding facial video images of more than 6, 000 sentences from 100 speakers was prepared. The comparison between whispered and normal utterances show that 1)the cepstrum distance between them is 4 dB for voiced and 2 dB for unvoiced phonemes, respectively, 2)the spectral tilt of the whispered speech is less sloped than the normal speech and 3)the frequency of the lower formants(below 1.5kHz)is upper than that of the normal speech. Acoustic models(HMM)trained by the whispered speech database attain an accuracy of 64% in word recognition experiments. This accuracy can be improved to 76% when MLLR adaptation is applied, while the normal speech HMM adapter with the whispered speech attain only 66 %accuracy.
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Keyword(in English) whispered speech / acoustic analysis / speech recognition
Paper # DSP2001-98,SP2001-71
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Committee SP
Conference Date 2001/9/21(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Acoustic Analysis and Recognition of Whispered Speech
Sub Title (in English)
Keyword(1) whispered speech
Keyword(2) acoustic analysis
Keyword(3) speech recognition
1st Author's Name Taisuke Ito
1st Author's Affiliation Graduate School of Engineering, Nagoya University()
2nd Author's Name Kazuya Takeda
2nd Author's Affiliation Graduate School of Engineering, Nagoya University
3rd Author's Name Fumitada Itakura
3rd Author's Affiliation Graduate School of Engineering, Nagoya University
Date 2001/9/21
Paper # DSP2001-98,SP2001-71
Volume (vol) vol.101
Number (no) 325
Page pp.pp.-
#Pages 6
Date of Issue