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SYSTEM AND METHOD FOR NOISE ROBUST SPEECH RECOGNITION USING HISTOGRAM EQUALIZATION WITH WINDOW-BASED TEST CUMULATIVE DISTRIBUTION FUNCTION ESTIMATION
SYSTEM AND METHOD FOR NOISE ROBUST SPEECH RECOGNITION USING HISTOGRAM EQUALIZATION WITH WINDOW-BASED TEST CUMULATIVE DISTRIBUTION FUNCTION ESTIMATION
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机译：直方图均衡和基于窗口的测试累积分布函数估计的噪声鲁棒语音识别系统和方法
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摘要
A voice recognition system and a method using histogram equalization technique by window base cumulative distribution function estimation are provided to reduce the degradation of voice recognition performance in the environment with noise. A voice input unit converts an analog voice signal into a digital signal(200). A characteristic extraction unit extracts an acoustic feature parameter in the frame unit(202), after dividing the digital voice signal in to a regular time interval(201). A characteristic compensation unit extracts a compensated feature parameter(203). A voice recognition engine performs a voice recognition and outputs the acknowledged result(204).
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