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本文介绍了从噪声的背景中提取语言信号的频谱减方法、自相关方法和线性滤波方法及其对信噪比从+6dB到-6dB的汉语元音、词句和语句进行处理的结果。经过处理后信噪比均可提高6dB左右,但语言的可懂度没有明显改善。本文还对几种提取基频的方法,在噪声背景中提取语言基频的效果作了比较。
This paper introduces the spectral reduction method, the autocorrelation method and the linear filtering method for extracting speech signals from the background of noise and the results of processing Chinese vowels, words and sentences with signal-to-noise ratio from + 6dB to -6dB. After processing, the signal to noise ratio can be increased about 6dB, but the language intelligibility has not significantly improved. This paper also compares several methods of extracting fundamental frequency to extract the fundamental frequency of the language in a noisy background.