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» Relevance language modeling for speech recognition
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ICASSP
2011
IEEE
12 years 8 months ago
Relevance language modeling for speech recognition
Language models for speech recognition tend to be brittle across domains, since their performance is vulnerable to changes in the genre or topic of the text on which they are trai...
Kuan-Yu Chen, Berlin Chen
LREC
2008
146views Education» more  LREC 2008»
13 years 6 months ago
On the Use of Web Resources and Natural Language Processing Techniques to Improve Automatic Speech Recognition Systems
Language models used in current automatic speech recognition systems are trained on general-purpose corpora and are therefore not relevant to transcribe spoken documents dealing w...
Gwénolé Lecorvé, Guillaume Gr...
CISIS
2009
IEEE
13 years 11 months ago
Pervasive Informatics and Persistent Actimetric Information in Health Smart Homes: From Language Model to Location Model
—This paper presents an approach of location model deriving from language models existing in speech recognition research. The purpose is to applicate existing model in speech rec...
Yannick Fouquet, Jacques Demongeot, Nicolas Vuille...
SPEECH
2008
142views more  SPEECH 2008»
13 years 4 months ago
Combined speech enhancement and auditory modelling for robust distributed speech recognition
The performance of automatic speech recognition (ASR) systems in the presence of noise is an area that has attracted a lot of research interest. Additive noise from interfering no...
Ronan Flynn, Edward Jones
LREC
2008
145views Education» more  LREC 2008»
13 years 6 months ago
Borrowing Language Resources for Development of Automatic Speech Recognition for Low- and Middle-Density Languages
In this paper we describe an approach that both creates crosslingual acoustic monophone model sets for speech recognition tasks and objectively predicts their performance without ...
Lynette Melnar, Chen Liu