Subject: Re: VAD (Voice Activity Detection) algorithms? From: Matt Flax <flatmax(at)ieee.org> Date: Mon, 3 May 2004 16:37:53 +1000VAD is perhaps not a bad place to start ... how does one know after all whether an auditory object exists or not, other then some sort of activity detection. I can suggest a VAD which is part of a signal de-noiser. Assuming you have one stream and know that the initial N frames of the stream have no auditory object embedded (only noise), then you can de-noise the signal and asses VAD all at once ! Check here : http://www-sipl.technion.ac.il/flatmax/speech/index.html On the topic of individual signal separation, as said by others, there are a huge amount of methods which are used ... none of them really compare to mammalian separation quality currently, this is a part quantitative and part qualitative judgment. None the less, radar systems are capable of some degree of physical source identification and then separation. I would guess that some of the methods of radar signal processing would lend methods to CASA. Strange as it may seem ! Further some people believe that closer modeling of the processes of hearing lend to reveal the methods developed through evolution of sound source separation and identification. Matt On Fri, Apr 30, 2004 at 07:26:26PM +0100, Richard H. wrote: > Good idea! > > I'd forgotten about all the goodies - including source code - in the GSM etc standards. > > Thanks, > > Richard > > > ----- Original Message ----- > From: chen zhixin > To: AUDITORY(at)LISTS.MCGILL.CA > Sent: Friday, April 30, 2004 6:55 PM > Subject: Re: VAD (Voice Activity Detection) algorithms? > > > Hi, Richard > > Both ITU G.723.1 and G.729 provide VAD algorithm/c code. They perform well in modest SNR environment. > > Best Regards, > Chen > > "Richard H." <auditory(at)AUGMENTICS.COM> wrote: > Hi, > > Does anyone have any idea where I can find some simple algorithms/code to allow the presence or absence of speech in a signal to be > detected? > > Thanks, > > Richard > > > > > ------------------------------------------------------------------------------ > Do You Yahoo!? > ?Y??TT????????????????????????D?????????? -- http://flatmax.org WSOLA TimeScale Audio Mod : http://mffmtimescale.sourceforge.net/ FFTw C++ : http://mffmfftwrapper.sourceforge.net/ Vector Bass : http://mffmvectorbass.sourceforge.net/ Multimedia Time Code : http://mffmtimecode.sourceforge.net/