Method and apparatus for automatic speech recognition using Mark

Details Method and apparatus for automatic speech recognition using Mark Method and apparatus for automatic speech recognition using Mark

1998-12-11

2000-11-14

Dorvil, Richemond

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704255, 704251, 704231, G01L 1500

Patent

active

061482846

ABSTRACT:
A method and apparatus for speech recognition using Markov processes on curves are presented. The method and apparatus operate such that input speech utterances are received and represented as multidimensional curves. The curve is split into acoustic segments representing different components based on initial model estimates. The segments are used to create a new statistical model for the curve. The process may be reiterated to produce a more precise statistical model for recognition. As a result, feature vectors are extracted from input speech and contribute to a recognition score in proportion to their arc length. The arc lengths are weighted to minimize recognition errors due to variations in speaking rate. In addition, more importance is attached to short-lived but non-stationary sounds, such as consonants.

REFERENCES:
patent: 4803729 (1989-02-01), Baker
patent: 5893058 (1999-04-01), Kosaka
patent: 5946656 (1999-08-01), Rahim et al.
Rahim et al ("Minimum Classification Error Factor Analysis for Automatic Speech Recognition", Dec. 1997).
Saul et al ("Markov Decision Processes in Large State Spaces," 8th Conference on Computational Learning Theory, Jul. 1995).
Saul et al ("Learning Curve Bounds for a Markov Decision Process with Undiscounted Rewards," 9th Conf. on Computational Learning Theory, Jul. 1996).
Lawrence Rabiner et al., Chapter 3 "Signal Processing and Analysis Methods for Speech Recognition", Fundamentals of Speech Recognition, pp 68-139, 200-209.

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