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» Data pruning for template-based automatic speech recognition
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ICASSP
2011
IEEE
14 years 1 months ago
Compensation of partly reliable components for band-limited speech recognition with missing data techniques
Mismatch in speech bandwidth between training and real operation greatly degrades the performance of automatic speech recognition (ASR) systems. Missing feature technique (MFT) is...
Yongjun He, Jiqing Han, Tieran Zheng, Guibin Zheng
EMNLP
2008
14 years 11 months ago
Revealing the Structure of Medical Dictations with Conditional Random Fields
Automatic processing of medical dictations poses a significant challenge. We approach the problem by introducing a statistical framework capable of identifying types and boundarie...
Jeremy Jancsary, Johannes Matiasek, Harald Trost
DAGM
2003
Springer
15 years 2 months ago
Improving Children's Speech Recognition by HMM Interpolation with an Adults' Speech Recognizer
In this paper we address the problem of building a good speech recognizer if there is only a small amount of training data available. The acoustic models can be improved by interpo...
Stefan Steidl, Georg Stemmer, Christian Hacker, El...
TASLP
2002
110views more  TASLP 2002»
14 years 9 months ago
Automatic generation of subword units for speech recognition systems
Large vocabulary continuous speech recognition (LVCSR) systems traditionally represent words in terms of smaller subword units. Both during training and during recognition, they re...
Rita Singh, Bhiksha Raj, Richard M. Stern
ICASSP
2009
IEEE
15 years 4 months ago
Filtering web text to match target genres
In language modeling for speech recognition, both the amount of training data and the match to the target task impact the goodness of the model, with the trade-off usually favorin...
Marius A. Marin, Sergey Feldman, Mari Ostendorf, M...