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ICASSP
2009
IEEE
13 years 5 months ago
Volterra series for analyzing MLP based phoneme posterior estimator
We present a framework to apply Volterra series to analyze multilayered perceptrons trained to estimate the posterior probabilities of phonemes in automatic speech recognition. Th...
Joel Pinto, Garimella S. V. S. Sivaram, Hynek Herm...
LREC
2010
173views Education» more  LREC 2010»
13 years 8 months ago
Transcriber Driving Strategies for Transcription Aid System
Speech recognition technology suffers from a lack of robustness which limits its usability for fully automated speech-to-text transcription, and manual correction is generally req...
Grégory Senay, Georges Linares, Benjamin Le...
ICASSP
2011
IEEE
12 years 11 months ago
An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments
Noise power spectral density estimation is an important component of speech enhancement systems due to its considerable effect on the quality and the intelligibility of the enhanc...
Jalal Taghia, Jalil Taghia, Nasser Mohammadiha, Ji...
AGI
2008
13 years 8 months ago
Language Processing in Human Brain
Human brain is exceptionally complex and simple at the same time. Its extremely composite biological structure results itself in human everyday behavior that many people might cons...
Alexander Borzenko
ML
1998
ACM
139views Machine Learning» more  ML 1998»
13 years 7 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby