Speech pattern recognition using pattern recognizers and classif

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

704239, G10L 900

Patent

active

057941904

ABSTRACT:
An apparatus for recognizing predetermined patterns comprises an input for signal data; a pattern matching stage including a plurality of stores, each storing a representation of a pattern to be recognized; a similarity measurer for producing, for each representation, a measure of the similarity between the signal data and that representation; and a classification stage for deciding from the similarity measures which, if any, of the patterns to which the representations correspond is present in the signal data, and for indicating the presence of any such pattern. The classification stage makes its determination based on all the similarity measures after having been trained using information relating to known patterns and the similarity measurer from the pattern matching stage produced by inputting known patterns.

REFERENCES:
patent: 5031217 (1991-07-01), Nishimura
patent: 5083285 (1992-01-01), Shima et al.
patent: 5228087 (1993-07-01), Bickerton
patent: 5317673 (1994-05-01), Cohen et al.
IEEE First International Conference On Neural Networks, 21-24 Jun. 1987, San Diego, CA., R.P. Lippmann et al.: "Neural-Net Classifiers Useful for Speech Recognition", pp. IV 417-425.
IEEE International Conference On Neural Networks, 24-27 Jul. 1988, San Diego, CA,., IEEE, (New York), C.-H. Sung et al.: "Temporal Pattern Recognition", pp. I-689-I-696.
British Telecom Technology Journal, vol. 6, No. 2, Apr. 1988, N. McCulloch et al.: "Multi-Layer Perceptrons Applied to Speech Technology", pp. 131-139.
IEEE Transactions On Acoustics, Speech, And Signal Processing. vol. ASSP-27, No.4, Aug. 1979, IEEE (New York), L.R. Rabiner et al.: "Speaker-Independent Recognition of Isolated Words Using Clustering Techniques", pp. 336-349.
British Telecom Technology Journal, vol. 6, No. 2, Apr. 1988, S.J. Cox: "Hidden Markov Models for Automatic Speech Recognition: Theory and Application", pp. 105-115.
Proceedings Of The IEEE, vol. 77, No. 2, Feb. 1989, L.R. Rabiner: "a Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition," pp. 257-286.
R. Lippmann, "A Critical Overview of Neural Network Pattern Classifiers," Neural Networks for Signal Processing, Sep. 30-Oct. 1, 1991, pp. 266-275.
W. Huang, R. Lippmann, and B. Gold, "A Neural Net Approach to Speech Recognition," ICASSP '88, Apr. 4-11, 1988, pp. 99-102.
S. Austin, G. Zavaliagkos, J. Makhoul, and R. Schwartz, "A Hybrid Continuous Speech Recognition System Using Semental Neural Nets with Hidden Markov Models," Neural Networks for Signal Processing, Sep. 30-Oct. 1, 1991, pp. 347-356.
S. Austin, G. Zavaliagkos, J. Makhoul, and R. Schwartz, "Speech Recognition Using Segmental Neural Nets," ICASSP '92, Mar. 23-26, 1992, pp. 625-628.
S. Austin, G. Zavaliagkos, J. Makhoul, and R. Schwartz, "Continuous Speech Recognition Using Segmental Neural Nets," Jun. 7-11, 1992, pp. 314-319.
R. Lippmann and E. Singer, "Hybrid Neural-Network/HMM Approaches to Wordspotting," ICASSP '93, Apr. 27-30, 1993, pp. 565-568.
E. Singer and R. Lippmann, "A Speech Recognizer Using Radial Basis Function Neural Networks in an HMM Framework," ICASSP '92, Mar. 23-26, 1992, pp. 629-632.
Gao et al, "HMM Based Warping in Neural Networks," ICASSP '90, Apr. 3-6, 1990, pp. 501-504.
Prinslou et al, "A Hidden Markov Model For Acoustic Syllabification and Processing Class Labelling In Continous Speech," Comsig 89, Jun. 23, 1989.
Ma et al., "TDNN Labeling For A HMM Recognizer," ICASSP '90, Apr. 3-6, 1990, pp. 421-423.
Howard et al., "Two Level Recognition of Isolated Word Using Neural Word," Artificial Neural Nets, 1989, Oct. 16-18, 1989, pp. 90-94.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Speech pattern recognition using pattern recognizers and classif does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Speech pattern recognition using pattern recognizers and classif, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Speech pattern recognition using pattern recognizers and classif will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-403547

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.