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TNN
2010
216views Management» more  TNN 2010»
13 years 4 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
TSP
2010
13 years 4 months ago
A multi-resolution hidden Markov model using class-specific features
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
Paul M. Baggenstoss
ICASSP
2011
IEEE
13 years 1 months ago
Multichannel nonnegative tensor factorization with structured constraints for user-guided audio source separation
Separating multiple tracks from professionally produced music recordings (PPMRs) is still a challenging problem. We address this task with a user-guided approach in which the sepa...
Alexey Ozerov, Cédric Févotte, Rapha...
ICASSP
2011
IEEE
13 years 1 months ago
Continuous audio analytics by HMM and Viterbi decoding
We address the problem of audio analytics with respect to efficient modeling of audio classes and continuous decoding of audio stream to automatically segment and label the audio...
V. Ramasubramanian, R. Karthik, S. Thiyagarajan, S...
ICASSP
2011
IEEE
13 years 1 months ago
Prosodic control of unit-selection speech synthesis: A probabilistic approach
One problem in concatenative speech synthesis is how to incorporate prosodic factors in the unit selection. Imposing a predicted prosodic target is error-prone and does not benefi...
Christophe Veaux, Xavier Rodet