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.
- URL: http://publications.idiap.ch/downloads/reports/2003/rr03-50.pdf
- Related documents: http://publications.idiap.ch/index.php/publications/showcite/hynek-rr-03-50
Record created on 2006-03-10, modified on 2016-08-08