Dear all, this is my great pleasure to announce a workshop about ASA, CASA and Machine Listening topics as a satellite workshop of the DAFx conference that is organized by Ircam in September (http://dafx11.ircam.fr). More details can be found below and by following this link (abstracts and bios): http://anasynth.ircam.fr/home/blogs/lagrange/casa-workshop-dafx Confirmed speakers: Trevor Agus (Perceptual learning of novel sounds) Josh McDermott (Sound texture perception via statistics of the auditory periphery) Jon Barker (Probabilistic frameworks for Scene understanding) Boris Defreville (Machine listening in everyday life) Those presentations will be followed by a panel that will attempt to address some of the raised issues and to answer to the questions of the audience. If you have some questions or ideas about that should be discussed during the panel, please share them as comments on the above cited webpage. Also, if you can not attend the workshop and would like it to be streamed over the internet, please send me a request, this might be feasible. Best regards, Mathieu Lagrange CNRS Researcher (anasyn team @ Ircam) Phone: ++33-1-4478 4871 | Fax: ++33-1-4478 1540 //////////////////// DETAILED INFORMATIONS ////////////////// From ASA to CASA, what does the "C" stand for anyway? Satelite Workshop of the DAFx Conference organized by Mathieu Lagrange and Luis Gustavo Martins at Ircam, Paris. September 23 2011 (Afternoon) Auditory Scene Analysis (ASA) is the process by which the human auditory system organizes sound into perceptually meaningful elements. Inspired by the seminal work of Al Bregman (1990) and other researchers in perception and cognition, early computational systems were built by engineering or computer scientists such as David Mellinger (1991) or Dan Ellis (1996). Strictly speaking, a CASA or a “machine listening” system is a computational system whose general architecture or key components design are motivated by facts taken from ASA. Though, ASA being a Gestaltist theory that focuses on the description and not on the explanation of the studied phenomenon, computational enthusiasts are left with a largely open field of investigation. Perhaps this lack of definition did not fit into the way we do research nowadays, since papers strictly tackling this issue are relatively scarce. Though, informal discussions with experts in the sound and musical audio processing areas confirm that making sense of strongly polyphonic signals is a fundamental problem that is interesting both from the methodological and application point of views. Consequently, we (organisers of this workshop) believe that there are fundamental questions that need to be raised and discussed in order to better pave the way of research in this field. Among others, those questions are: From ASA to CASA: only insights ? Is the knowledge transfer from ASA to CASA only qualitative ? Are there other approaches in scientific fields such as biology, cognition, etc. that are also potentially meaningful for building powerful computational systems ? What is CASA ? Is CASA a goal in itself ? Can it be decomposed into well defined tasks ? Is CASA worth pursuing ? What are the major locks in contemporary CASA ? How does it relates to other sound processing areas such as Blind Source Separation (BSS) or Music Information Retrieval (MIR) ? This workshop aims at bringing to the audience some background and new topics on ASA and CASA. Questions such as the ones cited above will then be raised and discussed with the help of the invited speakers. We are delighted to have 4 confirmed invited speakers (in order of appearance): Trevor Agus (ENS) Josh McDermott (NYU) Jon Barker (Sheffield Univ.) Boris Defreville (Orelia) The workshop will take place at Ircam, as a satellite event of the DAFx conference, on Friday Sept. 23. The tentative schedule is the following: 14h00: Welcome talk (Mathieu Lagrange) 14h30: Auditory Scene Analysis Trevor Agus (Perceptual learning of novel sounds) Josh McDermott (Sound texture perception via statistics of the auditory periphery) 15h30: Coffe Break 16h00: Machine Listening Jon Barker (Probabilistic frameworks for Scene understanding) Boris Defreville (Machine listening in everyday life) 17h00: Questions Panel 18h00: End of the workshop |