The representation of speech signals in a model of the peripheral auditory system
Richard S. Goldhor · The Journal of the Acoustical Society of America · 1983
The effect of processing speech signals with a simple model of the peripheral auditory system will be described. Compared with a standard speech spectrogram or filter bank analysis, this model transforms the signals in each of the frequency, amplitude, and temporal dimensions. In particular, the temporal transformation models the adaptation of auditory neurons to sustained energy in a particular frequency hand, and results in distinctive responses to segments of speech exhibiting rapid changes in frequency or amplitude (consonants). These transformations result in new relationships between the phonetic identity of the speech and the observable characteristics of the transformed signal. Examples of the response of this model to speech signals will be presented, and the response properties that correspond to the phonetic identity of the signals will be discussed. [Work supported by NSF.]