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《JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY》 1998-10
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Techniques for Automatic Speech Recognition in Car Noise

Shanghai Jiaotong University & Bell Labs Communication and Networks Joint Laboratory, Shanghai, China Department of Electronic Engineering, Shanghai Jiaotong University  
Voice dialing system is a hot application issue for automatic speech recognition(ASR). Speech recognition system is always based on training, so its performance degrades significantly when there is a mismatch between testing and training. To improve the robustness of ASR in car noise, this paper analyses the main reason why the performance degrades. For the effect of additional noise and channel distortion, some techniques to improve ASR in car noise are described. The main two methods——speech enhancement based on subband filtering and cepstral mean subtraction are proposed. Both of them can be real time implemented to fulfill the requirement of speech recognition system in cars. The experiments show that higher accuracy recognition rate can be achieved in car noise.
【CateGory Index】: TN912.34
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