Query-Driven Strategy for On-the-Fly Term Spotting in Spontaneous Speech - Archive ouverte HAL
Journal Articles EURASIP Journal on Audio, Speech, and Music Processing Year : 2010

Query-Driven Strategy for On-the-Fly Term Spotting in Spontaneous Speech

Abstract

Spoken utterance retrieval was largely studied in the last decades, with the purpose of indexing large audio databases or of detecting keywords in continuous speech streams. While the indexing of closed corpora can be performed via a batch process, on-line spotting systems have to synchronously detect the targeted spoken utterances. We propose a two-level architecture for on-the-fly term spotting. The first level performs a fast detection of the speech segments that probably contain the targeted utterance. The second level refines the detection on the selected segments, by using a speech recognizer based on a query-driven decoding algorithm. Experiments are conducted on both broadcast and spontaneous speech corpora. We investigate the impact of the spontaneity level on system performance. Results show that our method remains effective even if the recognition rates are significantly degraded by disfluencies.
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Dates and versions

hal-01320220 , version 1 (09-11-2017)

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Mickael Rouvier, Georges Linarès, Benjamin Lecouteux. Query-Driven Strategy for On-the-Fly Term Spotting in Spontaneous Speech. EURASIP Journal on Audio, Speech, and Music Processing, 2010, ⟨10.1155/2010/326578⟩. ⟨hal-01320220⟩

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