TRAP-TANDEM: Data-driven extraction of temporal features from speechReport as inadecuate




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Martigny, Switzerland: IDIAP, 2003

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.

Keywords: speech Note: large part published in Proceedings of ASRU-2003 Reference EPFL-REPORT-82960





Author: Hermansky, Hynek

Source: https://infoscience.epfl.ch/record/82960?ln=en



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