Presentation 2001/12/13
The Method of Extracting Peripheral Features that Achieve High Performance in both Tasks of LVCSR and ISWR
Takashi FUKUDA, Tsuneo NITTA,
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Abstract(in English) In this paper, we propose a feature extractor that improves the performance of isolated-word and continuous speech recognition with CMN. Firstly, local features (LF) and peripheral features (PF) extracted from time-spectrum (TS) patterns and their roles in speech recognition are described. Then, the proposed feature extractors are implemented into a standard HMM-based speech recognition system with modified CMN (MCMN) in which CMN is controlled by a normalized variance of an utterance. Experiments were investigated both in an isolated spoken-word recognition (ISWR) system and a large vocabulary continuous speech recognition (LVCSR) system. Experimental results show that the feature set of MFCC with MCMN and novel PF outperforms the baseline feature set in an LVCSR task, and achieves significant improvement in an ISWR task.
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Keyword(in English) speech recognition / feature extraction / CMN / peripheral feature / local feature / HMM
Paper # NLC2001-50,SP2001-85
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Conference Information
Committee NLC
Conference Date 2001/12/13(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Method of Extracting Peripheral Features that Achieve High Performance in both Tasks of LVCSR and ISWR
Sub Title (in English)
Keyword(1) speech recognition
Keyword(2) feature extraction
Keyword(3) CMN
Keyword(4) peripheral feature
Keyword(5) local feature
Keyword(6) HMM
1st Author's Name Takashi FUKUDA
1st Author's Affiliation Graduate School of Engineering, Toyohashi University of Technology()
2nd Author's Name Tsuneo NITTA
2nd Author's Affiliation Graduate School of Engineering, Toyohashi University of Technology
Date 2001/12/13
Paper # NLC2001-50,SP2001-85
Volume (vol) vol.101
Number (no) 520
Page pp.pp.-
#Pages 6
Date of Issue