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» Relevance language modeling for speech recognition
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INTERSPEECH
2010
14 years 8 months ago
Recurrent neural network based language model
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results indicate that it is possible to obtain around 50% reduct...
Tomas Mikolov, Martin Karafiát, Lukas Burge...
ACL
2012
13 years 3 months ago
Probabilistic Integration of Partial Lexical Information for Noise Robust Haptic Voice Recognition
This paper presents a probabilistic framework that combines multiple knowledge sources for Haptic Voice Recognition (HVR), a multimodal input method designed to provide efficient...
Khe Chai Sim
ESSLLI
2009
Springer
14 years 11 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
ACL
2003
15 years 2 months ago
Generalized Algorithms for Constructing Statistical Language Models
Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in...
Cyril Allauzen, Mehryar Mohri, Brian Roark
ACL
1998
15 years 2 months ago
Automatic Acquisition of Language Model based on Head-Dependent Relation between Words
Language modeling is to associate a sequence of words with a priori probability, which is a key part of many natural language applications such as speech recognition and statistic...
Seungmi Lee, Key-Sun Choi