DocumentCode
2459018
Title
A study of robust speech recognition using modified running-spectrum-filtering
Author
Lee, Kyunghee ; Miyanaga, Yoshikazu
Author_Institution
Hokkaido Univ., Sapporo, Japan
fYear
2011
fDate
12-14 Oct. 2011
Firstpage
314
Lastpage
317
Abstract
This paper proposes Low-Pass running spectrum filtering (Low-Pass RSF) with low filter 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.
Keywords
low-pass filters; speech recognition; additive noises; cepstrum mean subtraction; conventional noise robust speech recognition; dynamic range adjustment; low-pass running spectrum filtering; modulation spectrum domain; Additive noise; Cepstrum; Frequency modulation; Speech; Speech recognition; CMS; DRA; Low-Pass filter; RSF; Speech Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technologies (ISCIT), 2011 11th International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4577-1294-4
Type
conf
DOI
10.1109/ISCIT.2011.6089756
Filename
6089756
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