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» Signal processing tools for speech recognition
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ICASSP
2010
IEEE
14 years 10 months ago
An improved consensus-like method for Minimum Bayes Risk decoding and lattice combination
In this paper we describe a method for Minimum Bayes Risk decoding for speech recognition. This is a technique similar to Consensus a.k.a. Confusion Network Decoding, in which we ...
Haihua Xu, Daniel Povey, Lidia Mangu, Jie Zhu
ICASSP
2011
IEEE
14 years 1 months ago
Factor analysis based VTS and JUD noise estimation and compensation
Model based compensation schemes are a powerful approach for noise robust speech recognition. Recently there have been a number of investigations into adaptive training, and estim...
Federico Flego, Mark John Francis Gales
ICASSP
2011
IEEE
14 years 1 months ago
A study of the effect of emotional state upon text-independent speaker identification
In this paper we evaluate the effect of the emotional state of a speaker when text-independent speaker identification is performed. The spectral features used for speaker recogni...
Marius Vasile Ghiurcau, Corneliu Rusu, Jaakko Asto...
ICASSP
2011
IEEE
14 years 1 months ago
Multi-class Model M
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...
Ahmad Emami, Stanley F. Chen
ICASSP
2011
IEEE
14 years 1 months ago
Bayesian reinforcement learning for POMDP-based dialogue systems
Spoken dialogue systems are gaining popularity with improvements in speech recognition technologies. Dialogue systems can be modeled effectively using POMDPs, achieving improvemen...
ShaoWei Png, Joelle Pineau