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» The THISL Spoken Document Retrieval System
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ICMCS
2007
IEEE
130views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Word Topical Mixture Models for Extractive Spoken Document Summarization
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
Berlin Chen, Yi-Ting Chen
AND
2010
13 years 5 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
PRL
2008
181views more  PRL 2008»
13 years 7 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
ECIR
2007
Springer
13 years 8 months ago
Search of Spoken Documents Retrieves Well Recognized Transcripts
This paper presents a series of analyses and experiments on spoken document retrieval systems: search engines that retrieve transcripts produced by speech recognizers. Results show...
Mark Sanderson, Xiao Mang Shou
TREC
1998
13 years 8 months ago
Spoken Document Retrieval For TREC-7 At Cambridge University
This paper presents work done at Cambridge University, on the TREC7 Spoken Document Retrieval (SDR) Track. The broadcast news audio was transcribed using a 2-pass gender-dependent...
Sue E. Johnson, P. Jourlin, G. L. Moore, Karen Spa...