Billa J, el-Jaroudi A
BBN Systems and Technologies, Cambridge, Massachusetts 02140, USA.
J Acoust Soc Am. 1998 May;103(5 Pt 1):2691-705. doi: 10.1121/1.422789.
Computational models of the peripheral auditory system have largely modeled basilar membrane (BM) mechanics as a linear filter-bank-like entity. Recent mathematical work on the nature of auditory system noise suppression allows us to analyze and argue for the incorporation of BM nonlinearities into these models. This analysis shows that vowel perception improves with increasing presence of BM nonlinearities whereas consonant perception degrades with increasing influence of BM nonlinearities. Experimental results on tones and real speech corrupted by noise corroborate the analysis as well as suggest a novel approach to speech processing.
外周听觉系统的计算模型在很大程度上已将基底膜（BM）力学建模为类似线性滤波器组的实体。近期关于听觉系统噪声抑制本质的数学研究使我们能够分析并论证将BM非线性纳入这些模型。该分析表明，随着BM非线性程度的增加，元音感知能力会提高，而辅音感知能力会随着BM非线性影响的增加而下降。关于被噪声干扰的纯音和真实语音的实验结果证实了这一分析，并提出了一种新颖的语音处理方法。
