Language model adaptation for automatic speech recognition

Details Language model adaptation for automatic speech recognition Language model adaptation for automatic speech recognition

1998-03-02

2000-06-27

Dorvil, Richemond

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704240, G10L 1518

Patent

active

060817798

ABSTRACT:
For speech recognition, notably the recognition of curtly spoken speech with a large vocabulary, language models which take into account the probabilities of occurrence of word sequences are used so as to enhance the recognition reliability. These language models are determined from rather large quantities of text and hence represent an average value formed over several texts. However, the language model hence is not adapted very well to particularities of a special text. In order to achieve such adaptation of an existing language model to a special text while using only a small quantity of text, the invention proposes to determine confidence intervals from the counts of the word sequences occurring in the short text; this determination is possible by using calculation methods which are known from statistics. Subsequently, for each predecessor word sequence there is determined a scaling factor which adapts the language model values for all words in such a manner that as many adapted language model values as possible are situated within the confidence intervals. If scaled language model values are situated outside associated confidence intervals after the adaptation, the nearest boundaries of the confidence intervals are used as adapted language model values.

REFERENCES:
patent: 4741036 (1988-04-01), Bahl et al.
patent: 5241619 (1993-08-01), Schwartz et al.
patent: 5510981 (1996-04-01), Berger et al.
patent: 5621859 (1997-04-01), Schwartz et al.
patent: 5675707 (1997-10-01), Gorin et al.
IEEE Trans. on Patern Analysis and Machine Intelligence, vol. 12, Jun. 1990, pp. 570-583, (Cache Language Model).
H. Weber, "Einfuhrung in Die Wahrscheinlichkeitsrechnung und Statistik Fur Ingenieure", B.G. Teubner, Stuttgart 1992, Notably from p. 279.
S. Besling et al, "Confidence-Driven Estimator Perturbation: BMPC Best Model Perturbation Within Confidence", 1997 IEEE International Conference on Acoustics, Speech and Signal Processing (Cat. No. 97CB36052), 1997 IEEE International Conference on Acoustics, Speech and Signal Processing Munich, Germany pp. 21-24, Apr. 1997, pp. 803-806, vol .2 XP002089830, ISBN 0-8186-7919-0 1997, Los Alamitos, CA USA, IEEE Comput. Soc. Press, USA.

Affiliated with

Also associated with

Rating

Language model adaptation for automatic speech recognition does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Language model adaptation for automatic speech recognition, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Language model adaptation for automatic speech recognition will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1792441