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» Advances in Large Vocabulary Continuous Speech Recognition
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EMNLP
2010
13 years 5 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
CSL
2010
Springer
13 years 7 months ago
Discriminative training of HMMs for automatic speech recognition: A survey
Recently, discriminative training (DT) methods have achieved tremendous progress in automatic speech recognition (ASR). In this survey article, all mainstream DT methods in speech...
Hui Jiang
ICASSP
2009
IEEE
14 years 2 months ago
Lattice-based MLLR for speaker recognition
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
Marc Ferras, Claude Barras, Jean-Luc Gauvain
ICASSP
2011
IEEE
12 years 11 months ago
A study of an irrelevant variability normalization based discriminative training approach for LVCSR
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Yu Zhang, Jian Xu, Zhi-Jie Yan, Qiang Huo
ICASSP
2010
IEEE
13 years 5 months ago
Clap your hands! Calibrating spectral subtraction for dereverberation
Reverberation effects as observed by room microphones severely degrade the performance of automatic speech recognition systems. We investigate the use of dereverberation by spectr...
Uwe Zah, Korbinian Riedhammer, Tobias Bocklet, Elm...