Subject: Re: ICA, a key to solve the puzzle of hearing From: jan schnupp <jan.schnupp(at)PHYSIOL.OX.AC.UK> Date: Fri, 25 Mar 2005 17:43:03 +0000This is a multi-part message in MIME format. --------------070907040804000602080703 Content-Type: text/plain; charset=us-ascii; format=flowed Content-Transfer-Encoding: 7bit >On Fri, 25 Mar 2005, Guoping Li wrote: > > > >> ICA was designed to solve the problem of cocktail party effect using >> higher order statistical methods. Is it possible that we can use this >> technique and implement it in the hearing aid or cochlear implant? >> >> > > > Toth Laszlo wrote: >As far as I remember, when ICA is used for blind signal separation, it >needs at least N input signals (for example, from a microphone array) for >extracting N independent components. >:( > > That's true, but there is no reason a priori why one shouldn't build a device that incorporates dozens of microphone capsules in the users clothing, and that could separate dozens of different sources. Then you'd just need a little switch that allows you to quickly scan through those separated sources to find the one you want to listen to. It wouldn't be very "biological", but it might nevertheless work quite well. Jan -------------------------------------------------------- Dr. Jan Schnupp University Laboratory of Physiology St Peter's College Oxford University New Inn Hall Street Parks Road, Oxford OX1 3PT, UK Oxford OX1 2PL Tel (01865) 272513 Tel (01865) 278889 Fax (01865) 272469 --------------070907040804000602080703 Content-Type: text/html; charset=us-ascii Content-Transfer-Encoding: 7bit <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> <html> <head> <meta content="text/html;charset=ISO-8859-1" http-equiv="Content-Type"> <title></title> </head> <body> <br> <blockquote cite="midPine.GSO.4.58.0503251748400.3662(at)orsi.inf.u-szeged.hu" type="cite"> <pre wrap="">On Fri, 25 Mar 2005, Guoping Li wrote: </pre> <blockquote type="cite"> <pre wrap=""> ICA was designed to solve the problem of cocktail party effect using higher order statistical methods. Is it possible that we can use this technique and implement it in the hearing aid or cochlear implant? </pre> </blockquote> <pre wrap=""><!----> </pre> </blockquote> Toth Laszlo wrote: <blockquote cite="midPine.GSO.4.58.0503251748400.3662(at)orsi.inf.u-szeged.hu" type="cite"> <pre wrap="">As far as I remember, when ICA is used for blind signal separation, it needs at least N input signals (for example, from a microphone array) for extracting N independent components. :( </pre> </blockquote> <br> That's true, but there is no reason a priori why one shouldn't build a device that incorporates dozens of microphone capsules in the users clothing, and that could separate dozens of different sources. Then you'd just need a little switch that allows you to quickly scan through those separated sources to find the one you want to listen to. It wouldn't be very "biological", but it might nevertheless work quite well. <br> <br> Jan<br> <pre class="moz-signature" cols="80"> -------------------------------------------------------- Dr. Jan Schnupp University Laboratory of Physiology St Peter's College Oxford University New Inn Hall Street Parks Road, Oxford OX1 3PT, UK Oxford OX1 2PL Tel (01865) 272513 Tel (01865) 278889 Fax (01865) 272469 </pre> </body> </html> --------------070907040804000602080703--