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ICASSP
2008
IEEE
13 years 11 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
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...
ICASSP
2008
IEEE
13 years 11 months ago
An unsupervised web-based topic language model adaptation method
This paper focuses on a solution to better adapt ASR systems, whose language models (LM) are usually trained on topic-independent corpora, to new topics, in particular in the case...
Gwénolé Lecorvé, Guillaume Gr...
MM
2009
ACM
269views Multimedia» more  MM 2009»
13 years 12 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
ICASSP
2009
IEEE
13 years 3 months ago
Unsupervised speaker adaptation for telephone call transcription
The use of the PC and Internet for placing telephone calls will present new opportunities to capture vast amounts of un-transcribed speech for a particular speaker. This paper inv...
R. Wallace, Kishan Thambiratnam, Frank Seide