TRAP-TANDEM: Data-driven extraction of temporal features from speech

Conventional features in automatic recognition of speech describe instantaneous shape of a short-time spectrum of speech. The TRAP-TANDEM features describe likelihoods of sub-word classess at a given time instant, derived from temporal trajectories of band-limited spectral densities in the vicinity of a given time instant. The paper presents some rationale behind the data-driven TRAP-TANDEM approach, briefly describes the technique, point to relevant oublications and summarizes results achieved so far.


Year:
2003
Publisher:
Martigny, Switzerland, IDIAP
Keywords:
Note:
large part published in Proceedings of ASRU-2003
Laboratories:




 Record created 2006-03-10, last modified 2018-10-01

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