A Discriminative Decoder for the Recognition of Phoneme Sequences

In this report, we propose a discriminative decoder for phoneme recognition, i.e. the identification of the uttered phoneme sequence from a speech recording. This task is solved as a 3 step process: a phoneme classifier first classifies each accoustic frame, then temporal consistency features (TCF) are extracted from the phoneme classifier outputs, and finally a sequence decoder identifies the phoneme sequence according to the TCF.


Year:
2005
Publisher:
IDIAP
Keywords:
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 Record created 2006-03-10, last modified 2018-03-17

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