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语音识别模块的性能指标：
高识别率：在一定的硬件环境下，平均准确率可达97％；
端点检测：在识别过程，具备端点检测功能；
实时识别：具有唤醒功能；
环境噪音：一定范围之内，仍可保证高识别率-speech recognition module performance indicators : high recognition rate : some of the hardware environment, average accuracy rate of up t
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the document explains speech recognition using mel frequency cpstrum coeefficient and noise reduction method
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Electronic industry now growing towards the automation of everything, It includes development of Touch screen Interface Voice Recognition etc. These are leads to a world in which almost all electronic systems are capable of working in response with h
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voice recognition in noisy environment
Human life could be much more comfortable, if global machinery works on voice commands. There are lot of products available in the market those provide us automated voice controlled working experience. Voic
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joint sparse representation
(JSR)方法用于车内语音增强的特征降噪算法-address reducing the mismatch between training
and testing conditions for hands-free in-car speech recognition. It
is well known that the distortions caused by background noise,
channel effec
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