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。
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。
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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