A Method for Open-Vocabulary Speech-Driven Text Retrieval

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dc.creatorFujii, Atsushi
dc.creatorItou, Katunobu
dc.creatorIshikawa, Tetsuya
dc.date2002-06-09
dc.date.accessioned2026-07-07T03:18:30Z
dc.date.available2026-07-07T03:18:30Z
dc.descriptionWhile recent retrieval techniques do not limit the number of index terms, out-of-vocabulary (OOV) words are crucial in speech recognition. Aiming at retrieving information with spoken queries, we fill the gap between speech recognition and text retrieval in terms of the vocabulary size. Given a spoken query, we generate a transcription and detect OOV words through speech recognition. We then correspond detected OOV words to terms indexed in a target collection to complete the transcription, and search the collection for documents relevant to the completed transcription. We show the effectiveness of our method by way of experiments.
dc.descriptionProceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (To appear)
dc.identifierhttps://arxiv.org/abs/cs/0206014
dc.identifierhttp://arxiv.org/abs/cs/0206014
dc.identifierProceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP-2002), pp.188-195, July. 2002
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31138
dc.subjectComputation and Language
dc.subjectI.2.7; H.3.3; H.5.1
dc.titleA Method for Open-Vocabulary Speech-Driven Text Retrieval
dc.typetext

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