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PRL
2007
131views more  PRL 2007»
13 years 7 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
Xiaodong He, Li Deng
INTERSPEECH
2010
13 years 2 months ago
On speaker adaptive training of artificial neural networks
In the paper we present two techniques improving the recognition accuracy of multilayer perceptron neural networks (MLP ANN) by means of adopting Speaker Adaptive Training. The us...
Jan Trmal, Jan Zelinka, Ludek Müller
ICC
2007
IEEE
114views Communications» more  ICC 2007»
14 years 1 months ago
Downlink MC-2D-CDMA over Time-Variant Frequency-Selective Rayleigh Fading Channels
Abstract— In this paper, the performance of a downlink synchronous MC-CDMA system with joint frequency-time domain spreading over time-variant frequency-selective Rayleigh fading...
Rui Fa, Bayan S. Sharif, Charalampos Tsimenidis
ICASSP
2011
IEEE
12 years 11 months ago
Large vocabulary continuous speech recognition with context-dependent DBN-HMMS
The context-independent deep belief network (DBN) hidden Markov model (HMM) hybrid architecture has recently achieved promising results for phone recognition. In this work, we pro...
George E. Dahl, Dong Yu, Li Deng, Alex Acero
ICASSP
2010
IEEE
13 years 7 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang