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Implementation of Speaker Independent Speech Recognition System Using Independent Component Analysis based on DSP  

김창근 (동아대학교 전자공학과)
박진영 (동아대학교 전자공학)
박정원 (동아대학교 전자공학)
이광석 (진주산업대학교 전자공학)
허강인 (동아대학교 전자공학과)
Abstract
In this paper, we implemented real-time speaker undependent speech recognizer that is robust in noise environment using DSP(Digital Signal Processor). Implemented system is composed of TMS320C32 that is floating-point DSP of Texas Instrument Inc. and CODEC for real-time speech input. Speech feature parameter of the speech recognizer used robust feature parameter in noise environment that is transformed feature space of MFCC(met frequency cepstral coefficient) using ICA(Independent Component Analysis) on behalf of MFCC. In recognition result in noise environment, we hew that recognition performance of ICA feature parameter is superior than that of MFCC.
Keywords
Speaker Independent Speech Recognition; MFCC; HMM; ICA; DSP; Parameter;
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