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» Speech Enhancement Using Gaussian Scale Mixture Models
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INTERSPEECH
2010
13 years 4 days ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
AVBPA
2003
Springer
121views Biometrics» more  AVBPA 2003»
13 years 10 months ago
Enhanced VQ-Based Algorithms for Speech Independent Speaker Identification
Abstract. Weighted distance measure and discriminative training are two different approaches to enhance VQ-based solutions for speaker identification. To account for varying import...
Ningping Fan, Justinian P. Rosca
SPEECH
2008
124views more  SPEECH 2008»
13 years 5 months ago
Statistical mapping between articulatory movements and acoustic spectrum using a Gaussian mixture model
In this paper, we describe a statistical approach to both an articulatory-to-acoustic mapping and an acoustic-to-articulatory inversion mapping without using phonetic information....
Tomoki Toda, Alan W. Black, Keiichi Tokuda
ICIP
2001
IEEE
14 years 7 months ago
Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain
Vasily Strela, Javier Portilla, Martin J. Wainwrig...
ICASSP
2010
IEEE
13 years 5 months ago
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...
Lukas Burget, Petr Schwarz, Mohit Agarwal, Pinar A...