Presentation 1998/6/11
Feature-Extraction of Speech Based on Multiple Acoustic-Feature Planes (MAFP)
Tsuneo Nitta, Takeshi Inoue,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes an attempt to incorporate the functions of the auditory nerve system into the feature extractor of speech recognition. The functions include four types of well-known responses to sound stimuli : local peaks of spectrum in steady sound, ascending FM sound, descending FM sound, and sharply rising and falling sound. Each function is realized in the form of a three-level derivative operator and is applied to a time-spectrum (TS) pattern X(t, f) of the output of BPF with 26-channels. The resultant acoustic cue of an input speech represented by multiple acoustic-feature planes (MAFP) is compressed by using KLT, then classified. In the experiments performed on a Japanese E-set (12 consonantal parts of /Ci/) extracted from continuous speech, the MAFP significantly improved the error rate from 34.5% and 29.6% obtained by X(t, f) and X(t, f)+Δ_1X(t, f) to 17.0% for unknown speakers (dimension=64).
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Speech Recognition / Feature Extraction / KL-transform / Generalized Probabilistic Descent Method
Paper # SP98-21
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Conference Information
Committee SP
Conference Date 1998/6/11(1days)
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Paper Information
Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Feature-Extraction of Speech Based on Multiple Acoustic-Feature Planes (MAFP)
Sub Title (in English)
Keyword(1) Speech Recognition
Keyword(2) Feature Extraction
Keyword(3) KL-transform
Keyword(4) Generalized Probabilistic Descent Method
1st Author's Name Tsuneo Nitta
1st Author's Affiliation Multimedia Eng.Lab., Toshiba Corp.()
2nd Author's Name Takeshi Inoue
2nd Author's Affiliation Toshiba Computer Eng.Corp.
Date 1998/6/11
Paper # SP98-21
Volume (vol) vol.98
Number (no) 105
Page pp.pp.-
#Pages 8
Date of Issue