Japanese Speaker-Independent Homonyms Speech Recognition | Zendy

Jin’ichi Murakami | Zendy; Haseo Hotta | Zendy

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Japanese Speaker-Independent Homonyms Speech Recognition

Author(s) -

Jin’ichi Murakami,

Haseo Hotta

Publication year - 2011

Publication title -

procedia - social and behavioral sciences

Language(s) - English

Resource type - Journals

ISSN - 1877-0428

DOI - 10.1016/j.sbspro.2011.10.612

Subject(s) - speech recognition , homonym (biology) , stress (linguistics) , formant , pitch accent , hidden markov model , computer science , dynamic time warping , connected speech , artificial intelligence , prosody , botany , vowel , biology , genus

Japanese has homonyms such as “hashi” ((Chop-sticks)) and “hashi” ((Bridge)). Word speech recognition has been studied for a long time, but homonym speech recognition in Japanese has not been studied. In this paper, we studied speaker-independent homonym speech recognition. For homonym speech recognition, pitch extraction has been normally used to estimate a pitch frequency.. However, we did not use pitch extraction in our study. Instead, we used an accent model that was a phoneme label with more length, Mora position, accent type and accent high or low. It means that we used the effect of pitch on formant. The results of the experiments were that 89% accuracy was obtained by using MFCC, full covariance HMM, and the accent model

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