By Topic

Anchor point detection for continuous speech recognition in Spanish: the spotting of phonetic events

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
M. A. Leandro ; E.T.S. Ingenieros de Telecomunicacion, Univ. Politecnica de Madrid, Spain ; J. M. Pardo

Several techniques have been used to constrain the search space in an HMM based continuous speech recognition system (grammar, beam search, etc.) in order to reduce computation without significant lose in performance (H. Ney, 1993). The use of anchor points is a state-of-the-art technique that has already been used in some systems (D. Lubensky, 1987; H. Murveit et al., 1993; M. Adda-Decker, 1989). This approach has lead us to a bottom-up strategy in a continuous speech recognition system in which the first module performs the spotting of predefined phonetic events and the second module uses them as anchor points in order to guide the HMM based recognition task. The paper describes the definition of phonetic events for Spanish (based on expert knowledge of language) and the algorithms used for their detection and classification. Performance figures are presented

Published in:

Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on  (Volume:4 )

Date of Conference:

3-6 Oct 1996