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[CFP] CHiME 2013 -- 2nd International Workshop on Machine Listening in Multisource Environments

               2nd International Workshop on
Machine Listening in Multisource Environments (CHiME 2013)

              in conjunction with ICASSP 2013
              June 1, 2013, Vancouver, Canada



* Deadline for submission of papers: January 15, 2013
* Notification of acceptance: February 18, 2013
* Final version: March 18, 2013
* Workshop: June 1, 2013


Following the success of the 1st CHiME Workshop in 2011, we are 
organizing a second edition that will be held in conjunction with ICASSP 
2013. CHiME 2013 will consider the challenge of developing machine 
listening applications for operation in multisource environments, i.e. 
real-world conditions with acoustic clutter, where the number and nature 
of the sound sources is unknown and changing over time. CHiME will bring 
together researchers from a broad range of disciplines (computational 
hearing, blind source separation, speech recognition, machine learning) 
to discuss novel and established approaches to this problem. The 
cross-fertilisation of ideas will foster fresh approaches that 
efficiently combine the complementary strengths of each research field.


The workshop will feature two keynote speakers:

* Daniel P.W. Ellis, Columbia University
* Steven J. Rennie, IBM

The workshop will also be hosting the 2nd CHiME Speech Separation and 
Recognition Challenge, that is a two-microphone multisource speech 
separation and recognition challenge supported by the IEEE AASP, MLSP 
and SLTC Technical Committees. To find out more, please visit 

We are envisaging a special issue of IEEE Signal Processing Magazine to 
which the authors of the best workshop papers will be invited to submit.


We invite original submissions in the form of either extended abstracts 
or full papers. Relevant research topics include (but are not limited to):

* automatic speech recognition in multisource environments,
* acoustic event detection in multisource environments,
* sound source detection and tracking in multisource environments,
* music information retrieval in multisource environments,
* sound source separation or enhancement in multisource environments,
* robust feature extraction and classification in multisource environments,
* scene analysis and understanding for multisource environments.


Masami Akamine, Toshiba
Carlos Avendano, Audience
Li Deng, Microsoft
Erik McDermott, Google
Gautham Mysore, Adobe
Atsushi Nakamura, NTT
Peder A. Olsen, IBM
Trausti Thormundsson, Conexant
Daniel Willett, Nuance


Conexant Systems Inc.
Adobe Systems Inc.
Audience Inc.
Mitsubishi Electric Research Laboratories


Emmanuel Vincent, INRIA, France
Jon Barker,  University of Sheffield, UK
Shinji Watanabe & Jonathan Le Roux, MERL, USA
Francesco Nesta & Marco Matassoni, FBK-IRST, Italy