Methodology of Speech Recognition using Island Analysis —Targeting the higher recognition ratio—

Kazuhide Okada

doi:10.11499/sicep.2002.0.515.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.515.0

会議情報

主催: The Society of Instrument and Control Engineers

共催: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

Methodology of Speech Recognition using Island Analysis

—Targeting the higher recognition ratio—

Kazuhide Okada

著者情報

キーワード: HMM (Hidden Markov Model), Vocal Parameter

会議録・要旨集フリー

p. 515

詳細

抄録

Recently HMM (Hidden Markov Model) has been used as the way of the standard voice recognition but it is required to target more high recognition ratio by the expansion of the application of speech recognition. In this vocal study the shape analysis of the vocal wave inside the vocal period has been done toward its modified signals whether its voice is for a word or a simple sentence. And then the evaluation of this experiment by changing the category of the vocal parameters on shape has been done.

責任著者(Corresponding author)

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