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ICASSP
2011
IEEE
14 years 10 months ago
Structured precision modelling with Cholesky Basis Superposition for speech recognition
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
Lei Jia, Kai Yu, Bo Xu
ICASSP
2011
IEEE
14 years 10 months ago
Classifier subset selection and fusion for speaker verification
State-of-the-art speaker verification systems consists of a number of complementary subsystems whose outputs are fused, to arrive at more accurate and reliable verification deci...
Filip Sedlak, Tomi Kinnunen, Ville Hautamäki,...
ICASSP
2011
IEEE
14 years 10 months ago
The Bayesian inference of phase
Bayesian recursive inference of phase in additive Gaussian noise environments is studied. A tractable conjugate system is established using a von Mises distribution. Its shaping p...
Anthony Quinn, Jean-Pierre Barbot, Pascal Larzabal
ICASSP
2011
IEEE
14 years 10 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang
ICASSP
2011
IEEE
14 years 10 months ago
Why word error rate is not a good metric for speech recognizer training for the speech translation task?
Speech translation (ST) is an enabling technology for cross-lingual oral communication. A ST system consists of two major components: an automatic speech recognizer (ASR) and a ma...
Xiaodong He, Li Deng, Alex Acero