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» Large-Vocabulary Speech Recognition Algorithms
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ICASSP
2008
IEEE
15 years 5 months ago
Adaptation of compressed HMM parameters for resource-constrained speech recognition
Recently, we successfully developed and reported a new unsupervised online adaptation technique, which jointly compensates for additive and convolutive distortions with vector Tay...
Jinyu Li, Li Deng, Dong Yu, Jian Wu, Yifan Gong, A...
TASLP
2010
96views more  TASLP 2010»
14 years 5 months ago
Evaluating Source Separation Algorithms With Reverberant Speech
This paper examines the performance of several source separation systems on a speech separation task for which human intelligibility has previously been measured. For anechoic mixt...
Michael I. Mandel, S. Bressler, Barbara G. Shinn-C...
TASLP
2010
157views more  TASLP 2010»
14 years 5 months ago
HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Bengt J. Borgstrom, Abeer Alwan
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ICASSP
2010
IEEE
14 years 9 months ago
Efficient online learning with individual learning-rates for phoneme sequence recognition
We describe a fast and efficient online algorithm for phoneme sequence speech recognition. Our method is using a discriminative training to update the model parameters one utteran...
Koby Crammer
ICASSP
2011
IEEE
14 years 2 months ago
Binaural sound source separation motivated by auditory processing
In this paper we present a new method of signal processing for robust speech recognition using two microphones. The method, loosely based on the human binaural hearing system, con...
Chanwoo Kim, Kshitiz Kumar, Richard M. Stern