Goldstein J L
Audiology. 1978 Sep-Oct;17(5):421-45. doi: 10.3109/00206097809072606.
Progress in the knowledge of auditory processing of complex sounds has been made through coordinated psychophysical, physiological and theoretical studies of periodicity pitch and combination tones. Periodicity pitch is the basis for human perception of musical notes and pitch of voiced speech. The mechanism of perception involves harmonic pattern recognition on the complex Fourier frequency spectra generated by auditory frequency analysis. Combination tones are perceptible distortion tones generated within the cochlea by nonlinear interaction of component stimulus tones. Perception of periodicity pitch is quantitatively accounted for by a two-stage process of frequency analysis subject to random errors and significant nonlinearities, followed by a pattern recognizer that operates very efficiently to measure the period of musical and speech sounds. The basic characteristic of the first stage is a Gaussian standard error function that quantifies the randomness in aural estimation of frequencies of component tones in a complex tone stimulus. Efficient aural measurement of neural spike intervals from the eighth nerve provides a physiological account for the psychophysical characteristic of aural frequency analysis with complex sounds. Although cochlear filtering is an essential stage in auditory frequency analysis, neural time following, rather than details of the filter characteristics, is the decisive factor in determining the precision of aural frequency measurement. It is likely that peripheral auditory coding is similar for sounds in periodicity pitch and in speech perception, although the 'second stage' representing central processing would differ.
通过对周期性音调与组合音进行协调的心理物理学、生理学及理论研究,在复杂声音听觉处理的知识方面取得了进展。周期性音调是人类感知音符和浊音音高的基础。感知机制涉及对听觉频率分析所产生的复杂傅里叶频谱上的谐波模式识别。组合音是由成分刺激音的非线性相互作用在耳蜗内产生的可感知失真音。周期性音调的感知可以通过一个两阶段的频率分析过程进行定量解释,该过程存在随机误差和显著的非线性,随后是一个模式识别器,它能非常有效地测量音乐和语音声音的周期。第一阶段的基本特征是一个高斯标准误差函数,它量化了在复杂音调刺激中对成分音频率进行听觉估计时的随机性。从第八神经对神经冲动间隔进行有效的听觉测量,为复杂声音听觉频率分析的心理物理学特征提供了生理学解释。虽然耳蜗滤波是听觉频率分析中的一个重要阶段,但神经时间跟随而非滤波器特性的细节,是决定听觉频率测量精度的决定性因素。尽管代表中枢处理的“第二阶段”会有所不同,但周期性音调中的声音与语音感知中的外周听觉编码可能相似。