Direct access in content-based Audio Information Retrieval: A state of the art and challenges

This paper surveys Audio Information Retrieval (AIR) using a literature review and classification of articles from 1994 to 2010 with a keyword index and article abstract in order to explore how AIR methodologies and applications have developed during this period. Based on the scope of many papers an...

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Bibliographic Details
Published inProceedings of the 2011 International Conference on Electrical Engineering and Informatics pp. 1 - 6
Main Authors Heryanto, H., Akbar, S., Sitohang, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Accuracy
Algorithm design and analysis
audio indexing
classification
content based retrieval
Feature extraction
Hidden Markov models
Information retrieval
Multimedia communication
multimedia database
Music
semantic search
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ISBN1457707535
9781457707537
ISSN2155-6822
DOI10.1109/ICEEI.2011.6021562

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Summary:This paper surveys Audio Information Retrieval (AIR) using a literature review and classification of articles from 1994 to 2010 with a keyword index and article abstract in order to explore how AIR methodologies and applications have developed during this period. Based on the scope of many papers and journals of AIR, this paper surveys and classifies AIR problem domains into five domains: AIR framework, audio feature extraction, audio classification, audio/music similarity, and audio tools/applications with their applications for different research and problem domains. Based on the current state of the art, we discuss the major challenges for the future.
ISBN:1457707535
9781457707537
ISSN:2155-6822
DOI:10.1109/ICEEI.2011.6021562