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» Signal processing tools for speech recognition
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ICASSP
2010
IEEE
13 years 7 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
12 years 11 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
12 years 11 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
12 years 11 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
12 years 11 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