Presentation 2011-06-10
A Study of Robust Speech Recognition Using Modified RSF
Kyunghee LEE, Yoshikazu MIYANAGA,
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Abstract(in English) This report proposes low-pass running spectrum filtering (Low-Pass RSF) with low filtering order. Using the proposed filtering, additive noises in high frequency band of the modulation spectrum domain are reduced and high speed calculation mechanism are realized. The cepstrum mean subtraction method (CMS) and dynamic range adjustment (DRA) are also employed with Low-Pass RSF. Using the proposed method, the similar recognition performance as conventional noise robust speech recognition can be obtained with quite low calculation cost.
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Keyword(in English) speech recognition / Low-Pass RSF / DRA / CMS
Paper # SIS2011-15
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Committee SIS
Conference Date 2011/6/2(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Robust Speech Recognition Using Modified RSF
Sub Title (in English)
Keyword(1) speech recognition
Keyword(2) Low-Pass RSF
Keyword(3) DRA
Keyword(4) CMS
1st Author's Name Kyunghee LEE
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Yoshikazu MIYANAGA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2011-06-10
Paper # SIS2011-15
Volume (vol) vol.111
Number (no) 78
Page pp.pp.-
#Pages 5
Date of Issue