Asynchronous Hidden Markov Model method and system

Details Asynchronous Hidden Markov Model method and system Asynchronous Hidden Markov Model method and system

2004-05-12

2008-10-07

Azad, Abul K. (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

Reexamination Certificate

active

07433820

ABSTRACT:
A system, method and program storage device implementing a method for modeling a data generating process, wherein the modeling comprises observing a data sequence comprising irregularly sampled data, obtaining an observation sequence based on the observed data sequence, assigning a time index sequence to the data sequence, obtaining a hidden state sequence of the data sequence, and decoding the data sequence based on a combination of the time index sequence and the hidden state sequence to model the data sequence. The method further comprises assigning a probability distribution over time stamp values of the observation sequence, wherein the decoding comprises using a Hidden Markov Model. The method further comprises using an expectation maximization methodology to learn the Hidden Markov Model.

REFERENCES:
patent: 4852180 (1989-07-01), Levinson
patent: 5862259 (1999-01-01), Bokser et al.
patent: 5933525 (1999-08-01), Makhoul et al.
patent: 6304674 (2001-10-01), Cass et al.
patent: 2003/0058340 (2003-03-01), Lin et al.
patent: 2003/0123702 (2003-07-01), Colmenarez et al.
patent: 2001-356793 (2001-12-01), None
patent: 2003-131687 (2003-05-01), None
Weber, Katrin et al.; Speech Recognition using Advanced HMM2 Features; Automatic Speech Recognition and Understanding, 2001. ASRU '01. IEEE WO Dec. 9-13, 2001 pp. 65-68.
Blei et al., “Topic Segmentation with an Aspect Hidden Markov Model”, SIGIR '01 pp. 343-348, 2001.
Salamatian et al., “Hidden Markov Modeling for Network Communication Channels”, ACM Sigmetrics, pp. 92-101, 2001.
Fu J. Huang et al., “Consideration of Lombard Effect For Speechreading”, IEEE, pp. 613-618, 2001.
Matsuda et al., “Asynchronous-Transition HMM”, IEEE, pp. 1005-1008, 2000.
IBM Technical Disclosure Bulletin, “Iterative Scheme for the Maximum Mutual Information Training of Hidden Markov Models”, vol. 33, No. 7, pp. 308-310, 1990.
Leung et al., “Speech Recognition Using Multi-State Acoustic and Articulatory Features Models With Asynchronous States Transistion”, IEEE, p. IV-4163, 2002.
Wright et al., “Neural Network Modelling with Input Uncertainty: Theory and Application”, INSPEC, Abstract Only, 2001.
Wright, “Bayesian Approach to Neural-Network Modeling with Input ”INSPEC, Abstract Only, 2000.
Gharamani et al., “Factorial Hidden Markov Models”, INSPEC, Abstract Only, 1998.

Affiliated with

Also associated with

Rating

Asynchronous Hidden Markov Model method and system does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Asynchronous Hidden Markov Model method and system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Asynchronous Hidden Markov Model method and system will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4005494