Embedded multi-layer coupled hidden Markov model

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

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C704S256500

Reexamination Certificate

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07089185

ABSTRACT:
An arrangement is provided for embedded coupled hidden Markov model. To train an embedded coupled hidden Markov model, training data is first segmented into uniform segments at different layers of the embedded coupled hidden Markov model. At each layer, a uniform segment corresponds to a state of a coupled hidden Markov model at that layer. An optimal segmentation is generated at the lower layer based on the uniform segmentation and is then used to update parameters of models associated with the states of coupled hidden Markov models at lower layer. The updated model parameters at the lower layer are then used to update the model parameters associated with states at the super layer.

REFERENCES:
patent: 4977598 (1990-12-01), Doddington et al.
patent: 5649056 (1997-07-01), Nitta
patent: 5680481 (1997-10-01), Prasad et al.
patent: 5689620 (1997-11-01), Kopec et al.
patent: 5764853 (1998-06-01), Watari et al.
patent: 5794190 (1998-08-01), Linggard et al.
patent: 6055498 (2000-04-01), Neumeyer et al.
patent: 6072494 (2000-06-01), Nguyen
patent: 6226611 (2001-05-01), Neumeyer et al.
patent: 6246985 (2001-06-01), Kanevsky et al.
Georgescu et al, “Probability estimation in hybrid NH-HMM speech recognition systems with real time neral networks”, IEEEE Internation Joint Symposia on Intelligence and Systems, May 21-23, 1998, pp. 412-417.
Kohir et al, “Face Recognition using a DCT-HMM approach”, WACV 1998, Oct. 19-21, 1998, pp. 226-231.
Naphade et al, “Probabilistic multimedia object (multijects): a novel approach to video indexing and retrieval in multimedia systems”, 1998 ICIP, Oct. 4-7; vol. 3 pp. 536-540.
Kristjansson et al, “Event-coupled hidden Markov models”, ICME 2000, vol. 1 pp. 385-388.
Rezek et al, “Coupled hidden Markov models for biosignal interaction modelling”, Advances in Medical Signal and information processing, Sep. 4, 2000-Sep. 6, 2000, pp. 54-59.
Chang et al, “Isolated Mandarin syllable recognition using segmental features”, IEE Proceedings—Vision, Image, and Signal Processing, Feb. 1995, pp. 59-64.
Nefian A. V. et al., “An Embedded HMM—Based Approach for Face Detection and Recognition”, Mar. 15, 1999, IEEE, pp. 3553-3556, XP010328136.
Nefian A. V. et al., “A Coupled HMM for Audio-Visual Speech Recognition”, May 13, 2002, IEEE, pp. 2013-2016, XP008021462.
Nefian A. V., “Embedded Bayesian Networks for Face Recognition”, Aug. 26, 2002, IEEE, pp. 133-136, XP010604715.
M. Brand, “Coupled Hidden Markov Models for Modeling Interacting Processes”, Jun. 3, 1997, MIT Media Lab Perceptual Computing, Tech. Report 405, pp. 1-28, XP002253550.

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