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» Topic segmentation of news speech using word similarity
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LREC
2010
186views Education» more  LREC 2010»
13 years 8 months ago
The EPAC Corpus: Manual and Automatic Annotations of Conversational Speech in French Broadcast News
This paper presents the EPAC corpus which is composed by a set of 100 hours of conversational speech manually transcribed and by the outputs of automatic tools (automatic segmenta...
Yannick Estève, Thierry Bazillon, Jean-Yves...
LREC
2010
143views Education» more  LREC 2010»
13 years 8 months ago
Word Boundaries in French: Evidence from Large Speech Corpora
The goal of this paper is to investigate French word segmentation strategies using phonemic and lexical transcriptions as well as prosodic and part-of-speech annotations. Average ...
Rena Nemoto, Martine Adda-Decker, Jacques Durand
ICASSP
2008
IEEE
14 years 1 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...
TSD
2005
Springer
14 years 25 days ago
Why Is the Recognition of Spontaneous Speech so Hard?
Although speech, derived from reading texts, and similar types of speech, e.g. that from reading newspapers or that from news broadcast, can be recognized with high accuracy, recog...
Sadaoki Furui, Masanobu Nakamura, Tomohisa Ichiba,...
EMNLP
2008
13 years 8 months ago
Bayesian Unsupervised Topic Segmentation
This paper describes a novel Bayesian approach to unsupervised topic segmentation. Unsupervised systems for this task are driven by lexical cohesion: the tendency of wellformed se...
Jacob Eisenstein, Regina Barzilay