Use of Multi-Layered Networks for Coding Speech with Phonetic Features (Contributo in volume (capitolo o saggio))

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Label
  • Use of Multi-Layered Networks for Coding Speech with Phonetic Features (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 1989-01-01T00:00:00+01:00 (literal)
Alternative label
  • Bengio Y., Cardin R., Cosi P., De Mori R. (1989)
    Use of Multi-Layered Networks for Coding Speech with Phonetic Features
    MORGAN KAUFMANN, Palo Alto (Stati Uniti d'America) in Advances in Neural Information Processing Systems, 1989
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bengio Y., Cardin R., Cosi P., De Mori R. (literal)
Pagina inizio
  • 224 (literal)
Pagina fine
  • 231 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Bengio Y., Cardin R., Cosi P., De Mori R. Use of Multi-Layered Networks for Coding Speech with Phonetic Features in Advances in Neural Information Processing Systems 1 D.S. Touretzky editor Morgan Kaufmann Publisher 1989 http://books.nips.cc/papers/files/nips01/0224.pdf http://www2.pd.istc.cnr.it/Papers/PieroCosi/cp-NIPS89.pdf pages 224-231. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://books.nips.cc/papers/files/nips01/0224.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Advances in Neural Information Processing Systems (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 1 (literal)
Note
  • ACM DL (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ISTC CNR, UOS Padova Cosi P. Computer Science Departement, Mc Gill University, Montreal Quebec, CANADA Bengio Y., Cardin R.,De Mori R. (literal)
Titolo
  • Use of Multi-Layered Networks for Coding Speech with Phonetic Features (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 1-558-60015-9 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • D.S. Touretzky (literal)
Abstract
  • Preliminary results on speaker-independant speech recognition are reported. A method that combines expertise on neural networks with expertise on speech recognition is used to build the recognition systems. For transient sounds, event-driven property extractors with variable resolution in the time and frequency domains are used. For sonorant speech, a model of the human auditory system is preferred to FFT as a front-end module. (literal)
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