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» Features for Content-Based Audio Retrieval
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ACL
2008
13 years 7 months ago
A Critical Reassessment of Evaluation Baselines for Speech Summarization
We assess the current state of the art in speech summarization, by comparing a typical summarizer on two different domains: lecture data and the SWITCHBOARD corpus. Our results ca...
Gerald Penn, Xiaodan Zhu
CVIU
2008
124views more  CVIU 2008»
13 years 5 months ago
Measuring novelty and redundancy with multiple modalities in cross-lingual broadcast news
News videos from different channels, languages are broadcast everyday, which provide abundant information for users. To effectively search, retrieve, browse and track news stories...
Xiao Wu, Alexander G. Hauptmann, Chong-Wah Ngo
KDD
2002
ACM
286views Data Mining» more  KDD 2002»
14 years 5 months ago
Object Boundary Detection For Ontology-Based Image Classification
Technology in the field of digital media generates huge amounts of non-textual information, audio, video, and images, along with more familiar textual information. The potential f...
Lei Wang, Latifur Khan, Casey Breen
ISMIR
2005
Springer
196views Music» more  ISMIR 2005»
13 years 11 months ago
ACE: A Framework for Optimizing Music Classification
This paper presents ACE (Autonomous Classification Engine), a framework for using and optimizing classifiers. Given a set of feature vectors, ACE experiments with a variety of cla...
Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Bein...
AND
2010
13 years 3 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...