Discusses noise suppression in speech recognition under conditions of additive and convolutional noise.

主要论述加性和卷积性噪声条件下语音识别的抗噪方法。

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We simulated the system in the Additive Gaussian White Noise (AGWN) channel, proved the superiority of this system, and used the convolutional codes to reduce the bit error rate further.

通过在加性高斯白噪声(AGWN)信道中的模拟仿真，其结果说明了此系统的优越性，并通过卷积编码，进一步降低了系统的误码率。

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