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» Universal background model based speech recognition
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ICASSP
2011
IEEE
14 years 1 months ago
Robust speech recognition using multiple prior models for speech reconstruction
Prior models of speech have been used in robust automatic speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling the entire training dat...
Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric F...
CIARP
2010
Springer
14 years 8 months ago
Improving Face Segmentation in Thermograms Using Image Signatures
Abstract. The aim of this paper is to present a method for the automatic segmentation of face images captured in Long Wavelength Infrared (LWIR), allowing for a large range of face...
Silvio Filipe, Luís A. Alexandre
ISCI
2008
129views more  ISCI 2008»
14 years 9 months ago
Thai spelling analysis for automatic spelling speech recognition
Spelling speech recognition can be applied for several purposes including enhancement of speech recognition systems and implementation of name retrieval systems. This paper presen...
Chutima Pisarn, Thanaruk Theeramunkong
CSL
2010
Springer
14 years 10 months ago
Monaural speech separation based on MAXVQ and CASA for robust speech recognition
Robustness is one of the most important topics for automatic speech recognition (ASR) in practical applications. Monaural speech separation based on computational auditory scene a...
Peng Li, Yong Guan, Shijin Wang, Bo Xu, Wenju Liu
ICASSP
2009
IEEE
14 years 7 months ago
VLSI for 5000-word continuous speech recognition
We have developed a VLSI chip for 5,000 word speakerindependent continuous speech recognition. This chip employs a context-dependent HMM (hidden Markov model) based speech recogni...
Young-kyu Choi, Kisun You, Jungwook Choi, Wonyong ...