嗓音源谐波噪声独立分量分离估计方法

The separation and estimation methods of harmonic and noise signals in voice sources using independent component analysis (ICA)

以发声生理和病理为基础，针对唇端语音、线性预测反滤波处理后的声门气流体积速度波和颈前体表传导嗓音信号分别采用独立分量分析，分离出谐波与噪声信号，并估计其谐波噪声比。在不同元音、不同发声方式以及不同病变条件下给出了实验结果，并与传统的谐波噪声比计算方法进行综合比较。分别证实了在正常和病变条件下更客观、准确地判断嘶音程度和喉病的适应方法。对发声基础研究、语言声学和喉病检测等领域有重要意义。

Based on the physiology and pathology of vocal phonation, the oral speech, glottal volume velocity waveforms obtained by two-pass method for glottal inverse filtering analysis, and voice signals transmitted from the skin above thyroid were separated into harmonic and noise signals using independent component analysis (ICA). And furthermore,the harmonic-to-noise ratios were estimated and compared with the results obtained by conventional methods in the cases of different vowels, phonation types and several typical laryngeal diseases. The optimum method estimating the harmonic-to-noise ratios in normal and pathological voices were validated, respectively, which is of great importance to the vocal physiology, phonetics and diagnoses for laryngeal diseases.