On the Generalization Capability of Multi-Layered Networks in the Extraction of Speech Properties (Contributo in atti di convegno)

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Label
  • On the Generalization Capability of Multi-Layered Networks in the Extraction of Speech Properties (Contributo in atti di convegno) (literal)
Anno
  • 1989-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1.1.76.2662 (literal)
Alternative label
  • De Mori R., Bengio Y., Cosi P. (1989)
    On the Generalization Capability of Multi-Layered Networks in the Extraction of Speech Properties
    in IEEE IJCAI-89 - International Joint Conference on Artificial Intelligence, Detroit, MI, U.S.A., August 20-25, 1989
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • De Mori R., Bengio Y., Cosi P. (literal)
Pagina inizio
  • 1531 (literal)
Pagina fine
  • 1536 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • De Mori R., Bengio Y., Cosi P. On the Generalization Capability of Multi-Layered Networks in the Extraction of Speech Properties Proceedings IEEE IJCAI-89, International Joint Conference on Artificial Intelligence Detroit, MI, U.S.A. 1989 Proceeding IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2 Pages 1531-1536 Morgan Kaufmann Publishers Inc. San Francisco, CA, USA ©1989 http://www.ijcai.org/Past%20Proceedings/IJCAI-89-VOL-2/PDF/108.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.ijcai.org/Past%20Proceedings/IJCAI-89-VOL-2/PDF/108.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceeding IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 1679 (literal)
Note
  • ACM D (literal)
  • Google B (literal)
  • CiteSeerX (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ISTC CNR UOS Padova Cosi P. School of Computer Science Mc Gill University 3480 University str. Montreal,Que.,Canada H3A2A7 De Mori R., Bengio Y. (literal)
Titolo
  • On the Generalization Capability of Multi-Layered Networks in the Extraction of Speech Properties (literal)
Abstract
  • The paper describes a speech coding system based on an ear model followed by a set of Multi- Layer Networks (MLN). MLNs are trained to learn how to recognize articulatory features like the place and manner of articulation. Experiments are performed on 10 English vowels showing a recognition rate higher than 95% for new speakers. When features are used for recognition, comparable results are obtained for vowels and diphthongs not used for training and pronounced by new speakers. This suggests that MLNs suitably fed by the data computed by an ear model have good generalization capabilities over new speakers and new sounds. (literal)
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