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» Universal background model based speech recognition
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JCST
2006
99views more  JCST 2006»
14 years 9 months ago
A Dialectal Chinese Speech Recognition Framework
Abstract A framework for dialectal Chinese speech recognition is proposed and studied, in which a relatively small dialectal Chinese (or in other words Chinese influenced by the na...
Jing Li, Thomas Zheng, William Byrne, Daniel Juraf...
INTERSPEECH
2010
14 years 4 months ago
Online adaptive learning for speech recognition decoding
We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
Jeff Bilmes, Hui Lin
ICASSP
2011
IEEE
14 years 1 months ago
A novel approach using modulation features for multiphone-based speech recognition
Recent advances in coherent and convex demodulation have proven useful for analyzing and modifying the low-frequency envelope structure of speech. This paper reports the applicati...
Pascal Clark, Gregory Sell, Les E. Atlas
ACL
1998
14 years 11 months ago
Beyond N-Grams: Can Linguistic Sophistication Improve Language Modeling?
It seems obvious that a successful model of natural language would incorporate a great deal of both linguistic and world knowledge. Interestingly, state of the art language models...
Eric Brill, Radu Florian, John C. Henderson, Lidia...
INTERSPEECH
2010
14 years 4 months ago
Discriminative adaptation for log-linear acoustic models
Log-linear models have recently been used in acoustic modeling for speech recognition systems. This has been motivated by competitive results compared to systems based on Gaussian...
Jonas Lööf, Ralf Schlüter, Hermann ...