Auditory Modelling for Speech Analysis and Recognition (Contributo in volume (capitolo o saggio))

  • Auditory Modelling for Speech Analysis and Recognition (Contributo in volume (capitolo o saggio)) (literal)
  • 1992-01-01T00:00:00+01:00 (literal)
Alternative label
  • Cosi P. (1992)
    Auditory Modelling for Speech Analysis and Recognition
    J. Wiley & sons, New York (Stati Uniti d'America) in Visual Representations of Speech Signals, 1992
  • Cosi P. (literal)
Pagina inizio
  • 205 (literal)
Pagina fine
  • 212 (literal)
  • ACM Digital Library Auditory modelling for speech analysis and recognition Author: P. Cosi Published in: Book: Visual representations of speech signals Pages 205-212 John Wiley & Sons, Inc. New York, NY, USA ©1993 table of contents ISBN:0-471-93537-9 (literal)
  • (literal)
  • Visual Representations of Speech Signals (literal)
  • 8 (literal)
  • B (literal)
  • ACM DL (literal)
  • ISTC CNR - UOS Padova (literal)
  • Auditory Modelling for Speech Analysis and Recognition (literal)
  • 0-471-93537-9 (literal)
  • M. Cooke, S. Beet and M. Crawford (literal)
  • Cochlear transformations of speech signals result in an auditory neural firing pattern sig-nificantly different from the spectrogram, a popular time-frequency-energy representation of speech. Phonetic features may correspond in a rather straightforward manner to the neural discharge pattern with which speech is coded by the auditory nerve. For these reasons, even an ear model that is just an approximation of physical reality appears to be a suitable system for identifying those aspects of the speech signal that are relevant for recognition. A recently developed joint Synchrony/Mean-Rate (S/M-R) Auditory Speech Processing (ASP) scheme [8] was successfully applied in speech recognition tasks, where promising re-sults were obtained for speech segmentation and labelling [9]. Moreover, results reported elsewhere in the literature show that a combination of the same ASP scheme with multi-layer artificial neural networks produced an effective generalisation amongst speakers in classify¬ing vowels both for English [1] and Italian [2]. The joint S/M-R ASP scheme will be very briefly described and its application to the problem of speech segmentation and labelling, both for clean and noisy speech, will be intro¬duced and analysed. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:

Autore CNR di
Editore di
Insieme di parole chiave di