Do you have an algorithm for the modification of natural or synthetic speech which improves intelligibility in known noise conditions without increasing volume or loudness? If so, you are invited to take part in the Hurricane Challenge (*), a co-ordinated international evaluation of modified speech intelligibility.
You will be provided with a corpus of recorded sentences along with separate noise signals at a number of signal-to-noise ratios. Your task is to modify the speech only in such a way to promote its intelligibility. Modifications will be expected to meet constraints on changes in RMS level and/or loudness as well as durational constraints. Your modified speech signals will be evaluated centrally by a large listener sample.
Results of the Challenge will be disseminated either at a Special Session of Interspeech 2013 or at a satellite workshop. Results will be returned to participants well before the Interspeech 2013 paper deadline.
If you intent to take part, it is essential that you register your interest with the organisers before 31st October 2012 so that we can plan the scale of the listening tests accordingly.
A previous internal evaluation which took part within the EU-funded Listening Talker project is described in this paper (under review). Please consult this article for further details of motivation, materials and evaluation procedure.
(*) The name Hurricane was suggested as a logical extension to even-more-adverse conditions of the annual Blizzard Challenge for the evaluation of synthetic speech.
Your task and constraints
What we will then do
Special notes for synthetic speech entries
Downloading At this stage, we are making available the plain speech and masker signals. Please send a request to Martin Cooke to receive download instructions.
Organisers Martin Cooke, Ikerbasque & University of the Basque Country, Spain | Catherine Mayo, CSTR, University of Edinburgh, UK | Bastian Sauert, Aachen University, Germany | Yannis Stylianou, FORTH Institute of Computer Science, Crete, Greece | Cassie Valentini-Botinhao, CSTR, University of Edinburgh, UK | Yan Tang, Language and Speech Laboratory, University of the Basque Country, Spain
Last updated: 27th September 2012