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On the Use of an Ear Model and Multi-Layered Networks for Automatic Speech Recognition (Contributo in atti di convegno)

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On the Use of an Ear Model and Multi-Layered Networks for Automatic Speech Recognition (Contributo in atti di convegno) (literal)

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De Mori R., Bengio Y., Cosi P. (1989)
On the Use of an Ear Model and Multi-Layered Networks for Automatic Speech Recognition
in Structural Pattern Analysis, Proceedings of the third SSPR (Syntactical and Structural Pattern Recognition) Workshop, Singapore, 1989
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De Mori R., Bengio Y., Cosi P. On the Use of an Ear Model and Multi-Layered Networks for Automatic Speech Recognition Structural Pattern Analysis, Proceedings of the third SSPR (Syntactical and Structural Pattern Recognition) Workshop Pònt-a-Mousson 1988 R. Mohr, T. Pavlidis, A. Sanfeliu (Eds.) Series in Computer Science - Vol.19 Words Scientific Publishing Press Singapore, 1989 http://books.google.it/books?id=fDTiqezgfDsC&printsec=frontcover&hl=it&source=gbs_ge_summary_r&cad=0 (literal)

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http://books.google.it/books?hl=it&lr=&id=fDTiqezgfDsC&oi=fnd&pg=PA37&dq=On+the+Use+of+an+Ear+Model+and+Multi-Layered+Networks+for+Automatic+Speech+Recognition&ots=M3MVILxbdz&sig=89Prx7yNR8K48baObsrWTmTgz8U#v=onepage&q=On%20the%20Use%20of%20an%20Ear%20Model%20and%20Multi-Layered%20Networks%20for%20Automatic%20Speech%20Recognition&f=false (literal)

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Series in Computer Science - Vol.19 - Structural Pattern Analysis, Proceedings of the third SSPR (Syntactical and Structural Pattern Recognition) Workshop (literal)

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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 Use of an Ear Model and Multi-Layered Networks for Automatic Speech Recognition (literal)

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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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