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INTERSPEECH
2010
14 years 4 months ago
Canonical state models for automatic speech recognition
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
Mark J. F. Gales, Kai Yu
TASLP
2010
159views more  TASLP 2010»
14 years 4 months ago
Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model
This article addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each ...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
ICASSP
2010
IEEE
14 years 9 months ago
Under-determined convolutive blind source separation using spatial covariance models
This paper deals with the problem of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency d...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
INTERSPEECH
2010
14 years 4 months ago
Learning a language model from continuous speech
This paper presents a new approach to language model construction, learning a language model not from text, but directly from continuous speech. A phoneme lattice is created using...
Graham Neubig, Masato Mimura, Shinsuke Mori, Tatsu...
NIPS
2003
14 years 11 months ago
Probabilistic Inference of Speech Signals from Phaseless Spectrograms
Many techniques for complex speech processing such as denoising and deconvolution, time/frequency warping, multiple speaker separation, and multiple microphone analysis operate on...
Kannan Achan, Sam T. Roweis, Brendan J. Frey