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» Signal Processing for Robust Speech Recognition
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ICASSP
2010
IEEE
15 years 6 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 10 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 10 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 10 months ago
A segment-level confidence measure for Spoken Document Retrieval
This paper presents a semantic confidence measure that aims to predict the relevance of automatic transcripts for a task of Spoken Document Retrieval (SDR). The proposed predicti...
Grégory Senay, Georges Linares, Benjamin Le...
ICASSP
2011
IEEE
14 years 10 months ago
NAP for high level language identification
Varying channel conditions present a difficult problem for many speech technologies such as language identification (LID). Channel compensation techniques have been shown to sig...
Fred S. Richardson, William M. Campbell