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111
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ICASSP
2011
IEEE
14 years 4 months ago
Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...
Xiaodong Cui, Jing Huang, Jen-Tzung Chien
113
Voted
LREC
2008
111views Education» more  LREC 2008»
15 years 2 months ago
Developing Corpus of Japanese Classroom Lecture Speech Contents
This paper explains our developing Corpus of Japanese classroom Lecture speech Contents (henceforth, denoted as CJLC). Increasing e-Learning contents demand a sophisticated intera...
Masatoshi Tsuchiya, Satoru Kogure, Hiromitsu Nishi...
108
Voted
ICASSP
2010
IEEE
15 years 23 days ago
Speech modeling based on committee-based active learning
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...
Yuzu Hamanaka, Koichi Shinoda, Sadaoki Furui, Tada...
91
Voted
CLIN
2001
15 years 1 months ago
Memory-Based Phoneme-to-Grapheme Conversion
In this paper, we describe a method to enhance the readability of out-of-vocabulary items (OOVs) in the textual output in a large vocabulary continuous speech recognition system. ...
Bart Decadt, Jacques Duchateau, Walter Daelemans, ...
112
Voted
SIGIR
2009
ACM
15 years 7 months ago
Combining LVCSR and vocabulary-independent ranked utterance retrieval for robust speech search
Well tuned Large-Vocabulary Continuous Speech Recognition (LVCSR) has been shown to generally be more effective than vocabulary-independent techniques for ranked retrieval of spo...
J. Scott Olsson, Douglas W. Oard