A Discriminative Decoder for the Recognition of Phoneme Sequences

نویسندگان

  • David Grangier
  • Samy Bengio
چکیده

In this report, we propose a discriminative decoder for the recognition of phoneme sequences, 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.

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تاریخ انتشار 2005