search for: rgding

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2004 Aug 06
0
rgding VAD
> How do i detect whether there is silence in media using speex? > Is there any API which decides that the audio data only contains > silence? > Basically i will have PCM linear data, I want to know whether it is > complete silence. Well, the best way is probably to turn VAD *and* DTX on. Then when there's silence, the speex_encode function will return zero, which
2004 Aug 06
1
rgding VAD
On Tue, 2003-04-15 at 11:31, Jean-Marc Valin wrote: > > How do i detect whether there is silence in media using speex? > > Is there any API which decides that the audio data only contains > > silence? > > Basically i will have PCM linear data, I want to know whether it is > > complete silence. > > Well, the best way is probably to turn VAD *and*
2004 Aug 06
2
rgding VAD
hi, How do i detect whether there is silence in media using speex? Is there any API which decides that the audio data only contains silence? Basically i will have PCM linear data, I want to know whether it is complete silence. Is it that during encoding speex_bits_write will return a lesser number if the audio at byte_ptr contains silence? thanx, Rahul -- Rahul Arvind Jadhav
2004 Aug 06
0
Re: Please confirm your message
...v@xiph.org</a> wrote: <blockquote type="cite" cite="mid1050398492.11049.TMDA@motherfish-II.xiph.org"> <pre wrap="">Hello, this is the mailing list anti-spam filter at Xiph.Org. We need you to confirm your e-mail message with the subject of "rgding VAD". Please send a message to the following address, or simply use your mailer's "Reply" feature. <a class="moz-txt-link-abbreviated" href="mailto:speex-dev+confirm+1050398492.11049.3f687a@xiph.org">speex-dev+confirm+1050398492.11049.3f687a@xiph.or...
2013 Jan 06
4
random effects model
Hi A.K Regarding my question on comparing normal/ obese/overweight with blood pressure change, I did finally as per the first suggestion of stacking the data and creating a normal category . This only gives me a obese not obese 14, but when I did with the wide format hoping to get a obese14,normal14,overweight 14 Vs hibp 21, i could not complete any of the models. This time I classified obese=1