Referenced Items are not available for this document.
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.
Published in:
Automatic Speech Recognition and Understanding, 2003. ASRU '03. 2003 IEEE Workshop on
Date of Conference: 30 Nov.-3 Dec. 2003
- Page(s):
- 255 - 260
- Print ISBN:
- 0-7803-7980-2
- INSPEC Accession Number:
- 8072805
- Digital Object Identifier :
- 10.1109/ASRU.2003.1318450
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
