Wednesday, 3 December 2008

CFP: Scalable Audio-Content Analysis (journal)


The amount of easily-accessible audio, either in the form of large collections of audio or audio-video recordings or in the form of streaming media, has increased exponentially in recent times. However, this audio is not standardized: much of it is noisy, recordings are frequently not clean, and most of it is not labeled. The audio content covers a large range of categories including sports, music and songs, speech, and natural sounds. There is, therefore, a need for algorithms that allow us make sense of these data, to store, process, categorize, summarize, identify, and retrieve them quickly and accurately.

In this special issue, we invite papers that present novel approaches to problems such as (but not limited to):

o Audio similarity
o Audio categorization
o Audio classification
o Indexing and retrieval
o Semantic tagging
o Audio event detection
o Summarization
o Mining

We are especially interested in work that addresses real-world issues such as:

o Scalable and efficient algorithms
o Audio analysis under noisy and real-world conditions
o Classification with uncertain labeling
o Invariance to recording conditions
o On-line and real-time analysis of audio
o Algorithms for very large audio databases

We encourage theoretical or application-oriented papers that highlight exploitation of such techniques in practical systems/products.

Before submission, authors should carefully read over the journal's Author Guidelines, which are located at Authors should follow the EURASIP Journal on Audio, Speech, and Music Processing manuscript format described at the journal site
Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at, according to the following timetable:

Manuscript Due June 1, 2009
First Round of Reviews September 1, 2009
Publication Date December 1, 2009

Lead Guest Editor
Bhiksha Raj, Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA 02139, USA;

Guest Editors

o Paris Smaragdis, Advanced Technology Labs, Adobe Systems Inc. Newton, MA 02466, USA;
o Malcolm Slaney, Yahoo! Research, Santa Clara, CA 95054; Center for Computer Research in Music and Acoustics (CCRMA), Stanford University, CA 94305-8180, USA;
o Chung-Hsien Wu, Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan;
o Liming Chen, Department of Mathematics and Informatics, Ecole Centrale de Lyon University of Lyon, 69006 Lyon, France;
o Hyoung-Gook Kim, Intelligent Multimedia Signal Processing Lab, Kwangwoon University, Seoul 139-701, South Korea;

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