A perceptual model of speech based on real-time speaker adaptation

知觉实验表明，不同元音的说话人可以正确识别的准确率超过80%。通过对632个说话人的语音信号进行分析，提出了一种基于语音信号正弦表示的语音信号分析方法。此外，语音频谱的余弦展开和它们的系数的二次组合被证明是元音感知的有效特征。这一结果支持了元音的感知特征可能是通过听觉外周的两步突触组合来提取的假设。

Perceptual experiments indicated that speakers of different vowels could be correctly identified with accuracy of more than 80%. Analyzing speech signals uttered by 632 speakers, a new analysis method was proposed on the basis of the sinusoidal representation of speech signal. Further, cosine expansion of speech spectra and the quadratic combination of their coefficients were shown to be effective features for vowel perception. The result supports the hypothesis that perceptual features for vowel might be extracted by two-step synaptic combination in auditory periphery.