噪声环境中的汉语浊语音检测

为了在低信噪比和复杂噪声环境下检测汉语浊语音,根据浊语音谐波结构特性,提出了一种鲁棒的浊语音检测方法。通过改进的谱跟踪算法,得到能表征浊语音谐波特性的一簇谱线;从谱线簇中提取谐波特征作为汉语浊语音检测的依据。在不同信噪比和不同噪声环境下的浊语音检测对比实验中全面优于传统方法,在0 dB信噪比时正识率高于传统方法约30%。实验结果表明,该方法在低信噪比和非平稳复杂噪声环境下都具有较好的浊语音检测效果。 

Voiced Chinese speech detection in noise environments

In order to detect voiced Chinese speech especially in various noise environments at low SNR (signal-to- noise ratio), a robust voiced speech detection method was proposed by the harmonic structure of voiced speech. A set of lines which represent the harmonic structure of voiced speech were tracked by improved spectral tracking method, and characters were picked up as foundation to voiced Chinese speech detection from the spectral lines. It's better than parallel methods proved in the comparison experiments which test data obtained in different SNR and various noise environments. Especially when the SNR is 0 dB, its accuracy rate is nearly 30 percent higher than parallel methods. Experiments demonstrate the effectiveness of the voiced Chinese speech detection method in various noise environments at low SNR.