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» Universal background model based speech recognition
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TASLP
2002
111views more  TASLP 2002»
14 years 9 months ago
Speech enhancement using a mixture-maximum model
We present a spectral domain, speech enhancement algorithm. The new algorithm is based on a mixture model for the short time spectrum of the clean speech signal, and on a maximum a...
David Burshtein, Sharon Gannot
INTERSPEECH
2010
14 years 4 months ago
Asymptotically exact noise-corrupted speech likelihoods
Model compensation techniques for noise-robust speech recognition approximate the corrupted speech distribution. This paper introduces a sampling method that, given speech and noi...
Rogier C. van Dalen, Mark J. F. Gales
ACL
1998
14 years 11 months ago
Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recogniti
In this paper, we present a chunk based partial parsing system for spontaneous, conversational speech in unrestricted domains. We show that the chunk parses produced by this parsi...
Klaus Zechner, Alex Waibel
NAACL
2003
14 years 11 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
ICMCS
2010
IEEE
164views Multimedia» more  ICMCS 2010»
14 years 10 months ago
Exploiting multimodal data fusion in robust speech recognition
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
Panikos Heracleous, Pierre Badin, Gérard Ba...