Shareable filler model for grammar authoring

Details Shareable filler model for grammar authoring Shareable filler model for grammar authoring

2011-01-04

2011-01-04

Smits, Talivaldis I (Department: 2626)

Data processing: speech signal processing, linguistics, language

Linguistics

Natural language

C704S001000, C704S257000

Reexamination Certificate

active

07865357

ABSTRACT:
A method of forming a shareable filler model (shareable model for garbage words) from a word n-gram model is provided. The word n-gram model is converted into a probabilistic context free grammar (PCFG). The PCFG is modified into a substantially application-independent PCFG, which constitutes the shareable filler model.

REFERENCES:
patent: 5675706 (1997-10-01), Lee et al.
patent: 6016470 (2000-01-01), Shu
patent: 6223155 (2001-04-01), Bayya
patent: 6374217 (2002-04-01), Bellegarda
patent: 7302381 (2007-11-01), Pokhariyal et al.
patent: 7487091 (2009-02-01), Miyazaki
patent: 2004/0176945 (2004-09-01), Inagaki et al.
patent: 2004/0220809 (2004-11-01), Wang et al.
patent: 2004/0243393 (2004-12-01), Wang
Mangu et al. Lattice Compression in the Consensual Post-Processing Framework. Proceedings of SCI/ISAS, Orlando, Florida, 1999.
Wang, Kuansan. Semantics Synchronous Understanding for Robust Spoken Language Applications. in Proc. IEEE Workshop Automatic Speech Recognition and Understanding, St. Thomas, U.S. Virgin Islands, 2003, pp. 640-645.
Kawahara et al. Speaking Style Dependent Lexicalized Filler Model for Key Phrase Detection and Verification. 5th Intl Conf on Spoken Language Processing (ICSLP 98), Sydney, Australia, Nov. 30-Dec. 4, 1998.
Wang, Kuansan. Semantic Modeling for Dialog Systems in a Pattern Recognition Framework. Proc. ASRU-2001, Trento, Italy, 2001.
Allauzen et al. A General Weighted Grammar Library. In Proc. of the 9th Intl Conference on Automata, Kingston, Ontario, Jul. 2004.
Lefevre et al. Genericity and Adaptability Issues for Task-Independent Speech Recognition. ISCA ITRW 2001, Sophia-Antipolis, France, Aug. 2001.
A.S. Manos et al., “A Segment-Based Wordspotter using Phonetic Filler Models,” IEEE, 1997, pp. 899-902.
R. Rose et al., “A Hidden Markov Model-based Keyword Recognition System,” IEEE, 1990, pp. 129-132.
J. Wilpon et al., “Automatic Recognition of Keywords in Unconstrained Speech Using Hidden Markov Models,” IEEE, 1990, pp. 1870-1878.
Qiquang Lin et al., “Key-Phrase Spotting using an Integrated Language Model of N-Grams and Finite-State Grammar,” In Proc. Of Eurospeech, Sep. 22-25, 1997, pp. 255-258.
M.E. Hennecke et al., “Easy Configuration of Natural Language Understanding Systems,” in Proc. Voice Operated Telecom Services, COST 249, 2000, pp. 1-4.
R. Meliani et al., “Accurate Keyword Spotting Using Strictly Lexical Fillers,” in Proc. Of ICASSP, 1997, pp. 907-910.
R.C. Rose, “Keyword Detection in Conversational Speech Utterances using Hidden Markov Model based Continuous Speech Recognition,” Computer Speech and Language, vol. 9, 1995, pp. 309-333.
G. Riccardi et al., “Stochastic Automata for Language Modeling,” Computer Speech and Language, vol. 10(4), 1996, pp. 265-293.
Ye-Yi Wang et al., “SGStudio: Rapid Semantic Grammar Development for Spoken Lanugage Understanding,” Eurospeech 2005, Lisbon, Portugal, Sep. 2005, pp. 1-4.
M. Weintraub, “Keyword-Spotting Using SRI's Decipher™ Large-Vocabulary Speech-Recognition System,” IEEE, 1993, pp. 11-463 to 11-466.
C. Chelba et al., “Speech Ogle: Indexing Uncertainty for Spoken Document Search,” in Proc. of the Assoc. for Computational Linguistics, Jun. 2005, pp. 41-44.

Affiliated with

Also associated with

Rating

Shareable filler model for grammar authoring does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Shareable filler model for grammar authoring, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Shareable filler model for grammar authoring will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2723921