This paper presents a two-stage approach to speech recognition that is suited for information retrieval tasks, e.g. accessing a large telephone directory. The first stage performs a Viterbi beam search to decode the speech input into a sequence of phonemes. The second stage performs a graph search to match the phoneme sequence with a large list of keywords. The key issue is that the first step employs a syllable based language model that does not necessarily depend on the application domain. Experimental results are shown for a telephone directory access task of one million of entries

A two-passes Speech Recognition Method for Information Retrieval Applications

Coletti, Paolo;Federico, Marcello
1999-01-01

Abstract

This paper presents a two-stage approach to speech recognition that is suited for information retrieval tasks, e.g. accessing a large telephone directory. The first stage performs a Viterbi beam search to decode the speech input into a sequence of phonemes. The second stage performs a graph search to match the phoneme sequence with a large list of keywords. The key issue is that the first step employs a syllable based language model that does not necessarily depend on the application domain. Experimental results are shown for a telephone directory access task of one million of entries
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/1748
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