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Conventional features in automatic recognition of speech describe the instantaneous shape of a short-term spectrum of speech. The TRAP-TANDEM features describe the likelihood of sub-word classes at a given time instant, derived from temporal trajectories of band-limited spectral densities in the vicinity of the given instant. The paper presents some rationale behind the data-driven TRAP-TANDEM approach, briefly describes the technique, points to relevant publications and summarizes results achieved so far.
Date of Conference: 30 Nov.-3 Dec. 2003