Presentation 2003/3/20
Prediction of American listeners' misrecognition of English words spoken by Japanese
Changchen GUO, Nobuaki MINEMATSU, Keikichi HIROSE,
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Abstract(in English) This study tries to automatically estimate the probability of individual spoken words of Japanese English (JE) being perceived correctly by American listeners and to clarify what kind of combinations of segmental, prosodic, and/or linguistic errors are more fatal to the correct recognition. Firstly, from a large speech database of JE, a balanced set of 360 utterances of 90 male speakers were selected. Secondly, a listening experiment was done where 6 Americans were asked to transcribe these 360 JE utterances. Next, using speech and language technology, values of many segmental, prosodic, and linguistic attributes of words, which are related to the pronunciation errors, were automatically calculated from the JE utterances. Finally, relation between the misrecognized words and the attribute values were analyzed with Classification And Regression Tree (CART) method to automatically predict the probability of each of the JE words being correctly transcribed. The prediction performance was compared with the human prediction performance which was obtained by another experiment, where a Japanese teacher of English was requested to estimate the probability by hearing the utterances while looking at the intended sentences.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Japanese English / misrecognition / listening test / CART / rhythm / familiarity / phoneme likelihood
Paper # SP2002-179
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Committee SP
Conference Date 2003/3/20(1days)
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Registration To Speech (SP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Prediction of American listeners' misrecognition of English words spoken by Japanese
Sub Title (in English)
Keyword(1) Japanese English
Keyword(2) misrecognition
Keyword(3) listening test
Keyword(4) CART
Keyword(5) rhythm
Keyword(6) familiarity
Keyword(7) phoneme likelihood
1st Author's Name Changchen GUO
1st Author's Affiliation Graduate School of Information Science and Technology, University of Tokyo()
2nd Author's Name Nobuaki MINEMATSU
2nd Author's Affiliation Graduate School of Information Science and Technology, University of Tokyo
3rd Author's Name Keikichi HIROSE
3rd Author's Affiliation Graduate School of Frontier Sciences University of Tokyo
Date 2003/3/20
Paper # SP2002-179
Volume (vol) vol.102
Number (no) 749
Page pp.pp.-
#Pages 6
Date of Issue