Peripheral Preprocessing In Hearing And Psychoacoustics As Guidelines For Speech Recognition
Modem electronic equif'llent realizi network of system-theory as well as signal-theory strategies was a strong motor within the last 15 years pushing speech recognition systems to better and better results (for summaries see for example DeMori, 1979; Terhardt, 1978). Nevertheless, this progress is not comparable with the much larger progress of the data processing system like computers, memories, signal processors. Therefore we may ask for other and better guidelines to organize speech recognition systema. since the human hearing system is still by far the best speech recognition system in every respect, it may be very helpful to simulate this system as much as we know about it. This idea is not new. Our re search group seems to offer proposals in this direc tion each seventh year (Zwicker, 1971; Zwicker et al., 1979), this paper included. Other groups have accepted this aR?roach in part by using critical band filtering CKlatt, 1982), by using loudness-time func tions for segmentation !Mermelstein, 1975; Schotola, 1984), or more in general by using loudness-critical band rate-time patterns as preprocessed data base (Ruske, 1985 and this vol ume►.
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