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ICASSP
2010
IEEE
14 years 9 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
ISCAS
2007
IEEE
136views Hardware» more  ISCAS 2007»
15 years 3 months ago
Flexible Low Power Probability Density Estimation Unit For Speech Recognition
— This paper describes the hardware architecture for a flexible probability density estimation unit to be used in a Large Vocabulary Speech Recognition System, and targeted for m...
Ullas Pazhayaveetil, Dhruba Chandra, Paul Franzon
CASES
2003
ACM
15 years 2 months ago
Architectural optimizations for low-power, real-time speech recognition
The proliferation of computing technology to low power domains such as hand–held devices has lead to increased interest in portable interface technologies, with particular inter...
Rajeev Krishna, Scott A. Mahlke, Todd M. Austin
CSL
2004
Springer
14 years 9 months ago
Factor analysed hidden Markov models for speech recognition
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
Antti-Veikko I. Rosti, M. J. F. Gales
ACL
2004
14 years 10 months ago
Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
Brian Roark, Murat Saraclar, Michael Collins, Mark...