Kesuke Kamata

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We have been proposing a Spoken Term Detection (STD) method for Out-Of-Vocabulary (OOV) query terms integrating various subword recognition results using monophone, triphone, demiphone, one third phone, and Sub-phonetic segment (SPS) models. In the proposed method, subword-based ASR (Automatic Speech Recognition) is performed for all spoken documents and(More)
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