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By Yoshua Bengic, Regis Cardin, Piero Cos and Renato De Mori


Combining a structural or knowledge-based approach for describing speech units with neural networks capable of automatically learning relations between acoustic properties and speech units is the research effort we are attempting. We are investigating how speech coding can be performed by sets of multi-layer neural networks whose execution is decided by a data-driven strategy. Coding is based on phonetic properties characterizing a large population of speakers. Results on speaker-independent recognition of vowels using an ear model for preprocessing are reported. 1

Year: 2008
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