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» The limits of speech recognition
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ICASSP
2011
IEEE
13 years 1 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
ICMCS
2007
IEEE
214views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Exploring Discriminative Learning for Text-Independent Speaker Recognition
Speaker verification is a technology of verifying the claimed identity of a speaker based on the speech signal from the speaker (voice print). To learn the score of similarity be...
Ming Liu, Zhengyou Zhang, Mark Hasegawa-Johnson, T...
ICBA
2004
Springer
197views Biometrics» more  ICBA 2004»
14 years 3 months ago
Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems
We apply the ETSI’s DSR standard to speaker verification over telephone networks and investigate the effect of extracting spectral features from different stages of the ETSI...
Chin-Hung Sit, Man-Wai Mak, Sun-Yuan Kung
LREC
2008
62views Education» more  LREC 2008»
13 years 11 months ago
Speaker Recognition: Building the Mixer 4 and 5 Corpora
The original Mixer corpus was designed to satisfy developing commercial and forensic needs. The resulting Mixer corpora, Phases 1 through 5, have evolved to support and increasing...
Linda Brandschain, Christopher Cieri, David Graff,...
CODES
2004
IEEE
14 years 1 months ago
A loop accelerator for low power embedded VLIW processors
The high transistor density afforded by modern VLSI processes have enabled the design of embedded processors that use clustered execution units to deliver high levels of performan...
Binu K. Mathew, Al Davis