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Data driven example based continuous speech recognition

Published • Sep 1, 2003
NobleIDNI9P72W10R20S94
Authors:
Mathias De Wachter
,
Kris Demuynck
,
Dirk Van Compernolle

Abstract

The dominant acoustic modeling methodology based on Hidden Markov Models is known to have certain weaknesses.Partial solutions to these flaws have been presented, but the fundamental problem remains: compression of the data to a compact HMM discards useful information such as time dependencies and s...

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