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» Content-based language models for spoken document retrieval
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IRAL
2000
ACM
13 years 9 months ago
Content-based language models for spoken document retrieval
Spoken document retrieval (SDR) has been extensively studied in recent years because of its potential use in navigating large multimedia collections in the near future. This paper...
Hsin-Min Wang, Berlin Chen
LREC
2010
173views Education» more  LREC 2010»
13 years 6 months ago
Language Modeling Approach for Retrieving Passages in Lecture Audio Data
Spoken Document Retrieval (SDR) is a promising technology for enhancing the utility of spoken materials. After the spoken documents have been transcribed by using a Large Vocabula...
Koichiro Honda, Tomoyosi Akiba
EMNLP
2007
13 years 6 months ago
A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval
Speech recognition transcripts are far from perfect; they are not of sufficient quality to be useful on their own for spoken document retrieval. This is especially the case for c...
Tee Kiah Chia, Haizhou Li, Hwee Tou Ng
CLEF
2006
Springer
13 years 8 months ago
Dublin City University at CLEF 2006: Cross-Language Speech Retrieval (CL-SR) Experiments
The Dublin City University participation in the CLEF 2006 CL-SR task concentrated on exploring the combination of the multiple fields associated with the documents. This was based...
Gareth J. F. Jones, Ke Zhang, Adenike M. Lam-Adesi...
CLEF
2003
Springer
13 years 10 months ago
The CLEF 2003 Cross-Language Spoken Document Retrieval Track
The current expansion in collections of natural language based digital documents in various media and languages is creating challenging opportunities for automatically accessing t...
Marcello Federico, Gareth J. F. Jones