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Spoken Document Retrieval Based on Confusion Network with Syllable Fragments

This paper addresses the problem of spoken document retrieval under noisy conditions by incorporating sound selection of a basic unit and an output form of a speech recognition system. Syllable fragment is combined with a confusion network in a spoken document retrieval task. After selecting an appr...

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Bibliografiset tiedot
Päätekijät: Zhang Lei, Yoshihiko Gotoh, Muhammad Usman Ghani Khan
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: SAGE Publishing 2012-11-01
Sarja:International Journal of Advanced Robotic Systems
Linkit:https://doi.org/10.5772/52454
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