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» Signal processing tools for speech recognition
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ICASSP
2010
IEEE
13 years 2 months ago
Unsupervised knowledge acquisition for Extracting Named Entities from speech
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
Frédéric Béchet, Eric Charton
ICASSP
2008
IEEE
14 years 2 months ago
HMM adaptation using a phase-sensitive acoustic distortion model for environment-robust speech recognition
In this paper, we present a new approach to HMM adaptation that jointly compensates for additive and convolutive acoustic distortion in environment-robust speech recognition. The ...
Jinyu Li, Li Deng, Dong Yu, Yifan Gong, Alex Acero
TSD
2004
Springer
14 years 29 days ago
A Speaker Clustering Algorithm for Fast Speaker Adaptation in Continuous Speech Recognition
In this paper a speaker adaptation methodology is proposed, which first automatically determines a number of speaker clusters in the training material, then estimates the paramete...
Luis Javier Rodríguez, Inés Torres
ICASSP
2011
IEEE
12 years 11 months ago
Using multiple visual tandem streams in audio-visual speech recognition
The method which is called the “tandem approach” in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a...
Ibrahim Saygin Topkaya, Hakan Erdogan
ICASSP
2009
IEEE
14 years 2 months ago
Extended VTS for noise-robust speech recognition
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
Rogier C. van Dalen, Mark J. F. Gales