Presentation 2003/6/20
Hardware Implementation of a Noise Robust Speech Recognition System Using RSF/DRA Technique
Shingo YOSHIZAWA, Naoya WADA, Noboru HAYASAKA, Yoshikazu MIYANAGA,
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Abstract(in English) In this report, we describe a novel method focusing on time variation and dynamic range of speech feature parameters and introduce a hardware based speech recognition system using this technique. RSF (Running Spectrum Filtering) applies the time variation of feature parameters to FIR filtering. DRA (Dynamic Range Ad-justment) normalizes the maximum amplitudes of the waveforms. The combination of two methods improves noise robust recognition performance compared with conventional methods. However, the realization of the proposed method in software processing is quite difficult because recognition processing starts after speech analysis processing. Therefore the hardware system accelerates recognition processing remarkably by using parallel processing, fixed-point representation and data scaling.
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Keyword(in English) speech recognition / noise robust / parallel processing / VLSI / fixed-point arithmetic
Paper # DSP2003-72
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Conference Information
Committee DSP
Conference Date 2003/6/20(1days)
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Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Hardware Implementation of a Noise Robust Speech Recognition System Using RSF/DRA Technique
Sub Title (in English)
Keyword(1) speech recognition
Keyword(2) noise robust
Keyword(3) parallel processing
Keyword(4) VLSI
Keyword(5) fixed-point arithmetic
1st Author's Name Shingo YOSHIZAWA
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Naoya WADA
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Noboru HAYASAKA
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
4th Author's Name Yoshikazu MIYANAGA
4th Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2003/6/20
Paper # DSP2003-72
Volume (vol) vol.103
Number (no) 147
Page pp.pp.-
#Pages 6
Date of Issue