| --------------------------------------------- 4th CHiME Speech Separation and Recognition Challenge and Workshop
Launch: April 27, 2016 Deadline: August 19, 2016
Workshop: Google, San Francisco, Sep 13, 2016
http://spandh.dcs.shef.ac.uk/chime_challenge/ ----------------------------------------------
Dear colleague,
It gives us great pleasure to announce the official launch of the CHiME-4 Challenge and Workshop.
CHiME-4 revisits the CHiME-3 data, i.e., Wall Street Journal sentences spoken by talkers in challenging noisy environments, with updated baselines and fewer microphones for test. Participants may submit to one or more tracks: 1-channel, 2-channel, and 6-channel.
MATERIALS
The Challenge website is now live and contains all the information, tools and data that you will need for participation: - a detailed description of the challenge scenario and recording conditions, - real training and development data, - baseline software for data simulation, speech enhancement and state-of-the-art Kaldi-based speech recognition, - full instructions for participation and submission, - answers to frequently asked questions.
If you have any question that isn't answered by the website please email chimechallenge@gmail.com
We look forward to your participation.
STATEMENT OF INTEREST
If you are considering participating, please email chimechallenge@gmail.com with subject 'CHiME4' and you will be added to the email list for receiving further updates.
IMPORTANT DATES
27th April, 2016 ? Launch - Training/dev data and baselines released 10th June, 2016 ? Workshop registration open (limited seats available per institution, preferably for challenge participants) 27th June, 2016 ? Test data released 19th Aug, 2016 ? Challenge abstract/paper submission deadline 24th Aug, 2016 ? Paper notification 13th Sept, 2016 ? CHiME-4 Workshop 14th Oct, 2016 ? Final paper (2 to 6 pages)
CHALLENGE ORGANISERS
Emmanuel Vincent, Inria Shinji Watanabe, MERL Jon Barker & Ricard Marxer, University of Sheffield
LOCAL ORGANISER
Kean Chin, Google
SPONSORS
Google Mitsubishi Electric Research Laboratories (MERL) |