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» Unsupervised Topic Adaptation for Lecture Speech Retrieval
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ACL
2006
13 years 6 months ago
Unsupervised Topic Modelling for Multi-Party Spoken Discourse
We present a method for unsupervised topic modelling which adapts methods used in document classification (Blei et al., 2003; Griffiths and Steyvers, 2004) to unsegmented multi-pa...
Matthew Purver, Konrad P. Körding, Thomas L. ...
ICASSP
2008
IEEE
13 years 11 months ago
Automatic lecture transcription by exploiting presentation slide information for language model adaptation
The paper addresses language model adaptation for automatic lecture transcription by fully exploiting presentation slide information used in the lecture. As the text in the presen...
Tatsuya Kawahara, Yusuke Nemoto, Yuya Akita
NAACL
2010
13 years 2 months ago
Unsupervised Model Adaptation using Information-Theoretic Criterion
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
Ariya Rastrow, Frederick Jelinek, Abhinav Sethy, B...
ACL
2007
13 years 6 months ago
Unsupervised Language Model Adaptation Incorporating Named Entity Information
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
Feifan Liu, Yang Liu
CORR
2004
Springer
126views Education» more  CORR 2004»
13 years 4 months ago
Effects of Language Modeling on Speech-driven Question Answering
We integrate automatic speech recognition (ASR) and question answering (QA) to realize a speech-driven QA system, and evaluate its performance. We adapt an Ngram language model to...
Tomoyosi Akiba, Atsushi Fujii, Katunobu Itou