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» Large-Vocabulary Speech Recognition Algorithms
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ECML
2006
Springer
15 years 1 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
TASLP
2010
106views more  TASLP 2010»
14 years 4 months ago
Efficient and Robust Music Identification With Weighted Finite-State Transducers
We present an approach to music identification based on weighted finite-state transducers and Gaussian mixture models, inspired by techniques used in large-vocabulary speech recogn...
Mehryar Mohri, Pedro Moreno, Eugene Weinstein
ESTIMEDIA
2003
Springer
15 years 2 months ago
Perception Coprocessors for Embedded Systems
Recognizing speech, gestures, and visual features are important interface capabilities for embedded mobile systems. Perception algorithms have many traits in common with more conv...
Binu K. Mathew, Al Davis, Ali Ibrahim
MM
2006
ACM
178views Multimedia» more  MM 2006»
15 years 3 months ago
Multimedia signal processing for behavioral quantification in neuroscience
While there have been great advances in quantification of the genotype of organisms, including full genomes for many species, the quantification of phenotype is at a comparatively...
Peter Andrews, Haibin Wang, Dan Valente, Jih&egrav...
MM
2005
ACM
146views Multimedia» more  MM 2005»
15 years 3 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic