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» On the Entropy of a Hidden Markov Process
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ICASSP
2009
IEEE
16 years 1 months ago
A variational EM algorithm for learning eigenvoice parameters in mixed signals
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
Ron J. Weiss, Daniel P. W. Ellis
AVSS
2008
IEEE
16 years 23 days ago
Object and Scene-Centric Activity Detection Using State Occupancy Duration Modeling
We propose a video event analysis framework based on object segmentation and tracking, combined with a Hidden Semi-Markov Model (HSMM) that uses state occupancy duration modeling....
Murtaza Taj, Andrea Cavallaro
ICASSP
2008
IEEE
16 years 22 days ago
Multimodal information fusion using the iterative decoding algorithm and its application to audio-visual speech recognition
The fusion of information from heterogenous sensors is crucial to the effectiveness of a multimodal system. Noise affect the sensors of different modalities independently. A good ...
Shankar T. Shivappa, Bhaskar D. Rao, Mohan M. Triv...
ICASSP
2008
IEEE
16 years 22 days ago
Exploiting contextual information for improved phoneme recognition
In this paper, we investigate the significance of contextual information in a phoneme recognition system using the hidden Markov model - artificial neural network paradigm. Cont...
Joel Pinto, B. Yegnanarayana, Hynek Hermansky, Mat...
ICASSP
2008
IEEE
16 years 22 days ago
Gradient steepness metrics using extended Baum-Welch transformations for universal pattern recognition tasks
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabha...