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

Author

Heryanto, H. ; Akbar, Shazia ; Sitohang, Benhard

Author_Institution

Sch. of Electr. Eng. & Inf., Data & Software Eng. Group, Inst. Teknol. Bandung, Bandung, Indonesia

fYear

2011

fDate

17-19 July 2011

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

audio signal processing; content-based retrieval; feature extraction; signal classification; AIR framework domain; article abstract; audio classification domain; audio feature extraction domain; audio tools domain; audio-music similarity domain; content-based audio information retrieval; keyword index; Accuracy; Algorithm design and analysis; Feature extraction; Hidden Markov models; Information retrieval; Multimedia communication; Music; audio indexing; classification; content based retrieval; feature extraction; multimedia database; semantic search;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering and Informatics (ICEEI), 2011 International Conference on

Conference_Location

Bandung

ISSN

2155-6822

Print_ISBN

978-1-4577-0753-7

Type

conf

DOI

10.1109/ICEEI.2011.6021562

Filename

6021562