Data processing: speech signal processing – linguistics – language – Speech signal processing – Synthesis
Patent
1998-04-30
2000-02-22
Hudspeth, David R.
Data processing: speech signal processing, linguistics, language
Speech signal processing
Synthesis
704258, 704259, G10L 500, G10L 900
Patent
active
06029132&
ABSTRACT:
A two-stage pronunciation generator utilizes mixed decision trees that includes a network of yes-no questions about letter, syntax, context, and dialect in a spelled word sequence. A second stage utilizes decision trees that includes a network of yes-no questions about adjacent phonemes in the phoneme sequence corresponding to the spelled word sequence. Leaf nodes of the mixed decision trees provide information about which phonetic transcriptions are most probable. Using the mixed trees, scores are developed for each of a plurality of possible pronunciations, and these scores can be used to select the best pronunciation as well as to rank pronunciations in order of probability. The pronunciations generated by the system can be used in speech synthesis and speech recognition applications as well as lexicography applications.
REFERENCES:
patent: 3704345 (1972-11-01), Coker et al.
patent: 4979216 (1990-12-01), Malsheen et al.
patent: 5636325 (1997-06-01), Farrett
Sullivan et al. "a psyhologically-governed approach to novel-word pronunciation within a text-to-speech system" IEEE pp. 341-344, 1990.
O'malley et al. "text to speech conversion technology" IEEE pp. 17-23, Aug. 1990.
Junqua Jean-claude
Kuhn Roland
Abebe Daniel
Hudspeth David R.
Matsushita Electric Industrial Co.
LandOfFree
Method for letter-to-sound in text-to-speech synthesis does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for letter-to-sound in text-to-speech synthesis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for letter-to-sound in text-to-speech synthesis will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-528790