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ICASSP
2011
IEEE
12 years 8 months ago
Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura, ...
LREC
2010
186views Education» more  LREC 2010»
13 years 5 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
2008
172views Education» more  LREC 2008»
13 years 5 months ago
CallSurf: Automatic Transcription, Indexing and Structuration of Call Center Conversational Speech for Knowledge Extraction and
Being the client's first interface, call centres worldwide contain a huge amount of information of all kind under the form of conversational speech. If accessible, this infor...
Martine Garnier-Rizet, Gilles Adda, Frederik Caill...