Lexical-phonetic automata for spoken utterance indexing and retrieval

Julien Fayolle; Murat Saraclar; Fabienne Moreau; Christian Raymond; Guillaume Gravier

Lexical-phonetic automata for spoken utterance indexing and retrieval

Julien Fayolle ¹ Murat Saraclar ² Fabienne Moreau ¹ Christian Raymond ^{1, *} Guillaume Gravier ¹

* Corresponding author

1 TEXMEX - Multimedia content-based indexing

IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique

2 BUSIM Speech Group

Department of Electrical and Electronic Engineering [Istanbul]

Abstract : This paper presents a method for indexing spoken utterances which combines lexical and phonetic hypotheses in a hybrid index built from automata. The retrieval is realised by a lexical-phonetic and semi-imperfect matching whose aim is to improve the recall. A feature vector, containing edit distance scores and a confidence measure, weights each transition to help the filtering of the candidate utterance list for a more precise search. Experiment results show that the lexical and phonetic representations are complementary and we compare the hybrid search with the state-of-the-art cascaded search to retrieve named entity queries.

Keywords : information retrieval speech indexing lexical-phonetic automata confidence measures edit distances supervised learning

Document type :

Conference papers

Domain :

Computer Science [cs] / Computation and Language [cs.CL]

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Submitted on : Tuesday, November 27, 2012 - 3:41:57 PM
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