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129
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ANLP
2000
109views more  ANLP 2000»
15 years 5 months ago
Predicting Automatic Speech Recognition Performance Using Prosodic Cues
In spoken dialogue systems, it is important for a system to know how likely a speech recognition hypothesis is to be correct, so it can reprompt for fresh input, or, in cases wher...
Diane J. Litman, Julia Hirschberg, Marc Swerts
138
Voted
INFORMATICALT
2008
207views more  INFORMATICALT 2008»
15 years 3 months ago
Lithuanian Speech Recognition Using the English Recognizer
Abstract. The present work is concerned with speech recognition using a small or medium size vocabulary. The possibility to use the English speech recognizer for the recognition of...
Pijus Kasparaitis
151
Voted
ESSLLI
2009
Springer
15 years 1 months ago
A Salience-Driven Approach to Speech Recognition for Human-Robot Interaction
We present an implemented model for speech recognition in natural environments which relies on contextual information about salient entities to prime utterance recognition. The hyp...
Pierre Lison
150
Voted
TASLP
2011
14 years 10 months ago
Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
Maarten Van Segbroeck, Hugo Van Hamme
165
Voted
SPEECH
2011
14 years 10 months ago
The Romanian speech synthesis (RSS) corpus: Building a high quality HMM-based speech synthesis system using a high sampling rate
This paper first introduces a newly-recorded high quality Romanian speech corpus designed for speech synthesis, called “RSS”, along with Romanian front-end text processing mo...
Adriana Stan, Junichi Yamagishi, Simon King, Matth...