基于Hilbert-Huang变换的含噪语音特征分析

Analysis of Noise-Corrupted Speech Characteristics Based on Hilbert-Huang Transform

应用Hilbert-Huang变换方法对语音特征进行分析,提高低信噪比语音端点检测的正确率.对语音信号进行Hilbert-Huang变换,得到语音信号在时域和频域上的能量分布,建立语音信号的时间-频率-振幅的三维Hilbert谱分布以及边际谱分布进行特征分析,最后通过语音端点检测验证Hilbert-Huang变换分析含噪语音特征及降噪的有效性.通过语音端点检测的结果表明,经过Hilbert-Huang变换对含噪语音分析降噪后,检测准确率有显著提高.Hilbert-Huang变换方法能够真实描述语音信号的非线性以及非平稳特性,具有广泛的应用前景.

To improve the accuracy of speech/nonspeech decision by using Hilbert-Huang transform method to analyze the features of speech signals. Applying the Hilbert-Huang transform on the speech signals, the energy distribution of speech signals on time domain and frequency domain are obtained firstly, then,building the three-dimensional Hilbert-Spectrum of time-frequency-amplitude and analyzing the marginal spectrum. Finally validating the efficiency of speech processing based on Hilbert-Huang transform by the experiments of speech/nonspeech decision. The results of speech endpoint detection show that, after analyzing and denoising by Hilbert-Huang transform, the accuracy of detection improves markedly. Hilbert-Huang method gives the true description of the non-linear and non-stationary characteristics of speech signals, it has wide application prospect.