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» Canonical state models for automatic speech recognition
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LREC
2008
137views Education» more  LREC 2008»
14 years 11 months ago
Combining Multiple Models for Speech Information Retrieval
In this article we present a method for combining different information retrieval models in order to increase the retrieval performance in a Speech Information Retrieval task. The...
Muath Alzghool, Diana Inkpen
84
Voted
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
ACII
2007
Springer
15 years 3 months ago
Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing
Abstract. Opposing the pre-dominant turn-wise statistics of acoustic LowLevel-Descriptors followed by static classification we re-investigate dynamic modeling directly on the frame...
Bogdan Vlasenko, Björn Schuller, Andreas Wend...
ICASSP
2011
IEEE
14 years 1 months ago
A conditional model for triggering understanding actions in a speech understanding system
A conditional model is introduced for triggering understanding actions that correct errors of frame hypothesization and composition. Experimental evidence is provided using the Fr...
Frédéric Duvert, Renato de Mori
ICASSP
2008
IEEE
15 years 4 months ago
Irrelevant variability normalization based HMM training using map estimation of feature transforms for robust speech recognition
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...
Donglai Zhu, Qiang Huo