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» Canonical state models for automatic speech recognition
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ICMCS
2005
IEEE
169views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Dynamic language model adaptation using latent topical information and automatic transcripts
This paper considers dynamic language model adaptation for Mandarin broadcast news recognition. Both contemporary newswire texts and in-domain automatic transcripts were exploited...
Berlin Chen
ICASSP
2010
IEEE
14 years 10 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
ICASSP
2009
IEEE
15 years 4 months ago
Emotion recognition from speech: Putting ASR in the loop
This paper investigates the automatic recognition of emotion from spoken words by vector space modeling vs. string kernels which have not been investigated in this respect, yet. A...
Björn Schuller, Anton Batliner, Stefan Steidl...
CSL
2006
Springer
14 years 9 months ago
Product of Gaussians for speech recognition
Recently there has been interest in the use of classifiers based on the product of experts (PoE) framework. PoEs offer an alternative to the standard mixture of experts (MoE) fram...
M. J. F. Gales, S. S. Airey
TSD
2004
Springer
15 years 3 months 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