A simple solution to the word spotting problem is experimented. Continuous Speech Recognition (CSR) techniques are adopted, with the background speech represented by a filler templates set defined through vector quantization algorithms. Quantitative results about the performed experiments are given.
Word spotting by CSR through vector quantized background models / Falaschi, Alessandro; A., Micozzi. - STAMPA. - (1991), pp. 1187-1190. (Intervento presentato al convegno EUROSPEECH '91 Second European Conference on Speech Communication and Technology tenutosi a Genova, Italy nel September 24-26, 1991).
Word spotting by CSR through vector quantized background models
FALASCHI, Alessandro;
1991
Abstract
A simple solution to the word spotting problem is experimented. Continuous Speech Recognition (CSR) techniques are adopted, with the background speech represented by a filler templates set defined through vector quantization algorithms. Quantitative results about the performed experiments are given.File allegati a questo prodotto
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