Excuse the ignorance, but what is VON?<br><br><div><span class="gmail_quote">On 9/13/05, <b class="gmail_sendername">Gilmore, Gerry</b> <<a href="mailto:gerry.gilmore@intel.com">gerry.gilmore@intel.com</a>> wrote:</span>
<blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">Keep an eye on VON for some announcements relative to this.......<br><br>Gerry<br><br>There are 10 kinds of people in the world, those who understand binary
<br>and those who don't.<br><br>Gerry Gilmore<br>Field Applications Engineer<br>Intel Corporation<br>(<a href="http://www.intel.com">http://www.intel.com</a>)<br><br><br>-----Original Message-----<br>From: <a href="mailto:asterisk-dev-bounces@lists.digium.com">
asterisk-dev-bounces@lists.digium.com</a><br>[mailto:<a href="mailto:asterisk-dev-bounces@lists.digium.com">asterisk-dev-bounces@lists.digium.com</a>] On Behalf Of Nitin Joshi<br>Sent: Tuesday, September 13, 2005 1:30 AM<br>
To: <a href="mailto:asterisk-dev@lists.digium.com">asterisk-dev@lists.digium.com</a><br>Subject: [Asterisk-Dev] Re: Answering Machine detection<br><br>Hi,<br>Thanks to Matt and Steve for replying to my post :-) . Steve, I would
<br>really<br>like to know more about your code like how it exactly works and how<br>resource<br>(cpu and memory) intensive it is.<br><br>Matt, following are the details you asked for:<br>I want my system to detect atleast 80% of the answering machines and
<br>that<br>too within 1-3 seconds, just like dialogic boards.<br>Otherwise there won't be much reason to replace the existing predictive<br>dialer system with Asterisk.<br>We're going to have 24 to 48 lines initially and it'll definitely be T1.
<br>We've not yet finalised which cards (Digium, Sangoma or if possible<br>Dialogic) to use.<br>Also, we'll be writing our own Predictive dialer application which will<br>talk<br>to Asterisk using its Manger API interface.
<br><br>I would be really grateful if you could guide me on the above and also<br>throw<br>some light on the following:<br>- Does Asterisk support the Dialogic D/480JCT-2T1 board (That's what our<br>current system is using) ?
<br>- Which is the best T1 card for use with Asterisk?<br><br><br> Message: 1<br>> Date: Fri, 9 Sep 2005 19:20:22 +0200 (SAST)<br>> From: <a href="mailto:steve@daviesfam.org">steve@daviesfam.org</a><br>> Subject: Re: [Asterisk-Dev] Answering Machine detection
<br>> To: <a href="mailto:astmattf@gmail.com">astmattf@gmail.com</a>, Asterisk Developers Mailing List<br>> <<a href="mailto:asterisk-dev@lists.digium.com">asterisk-dev@lists.digium.com</a>><br>> Message-ID: <
<a href="mailto:Pine.LNX.4.58.0509091918450.8011@bob.daviesfam.org">Pine.LNX.4.58.0509091918450.8011@bob.daviesfam.org</a>><br>> Content-Type: TEXT/PLAIN; charset=US-ASCII<br>><br>><br>><br>> On Fri, 9 Sep 2005, Matt Florell wrote:
<br>><br>> > Answering Machine detection is very CPU intensive in Asterisk and<br>will<br>very<br>> > much limit your capacity per server if you implement it. This is<br>because<br>> > unlike expensive Dialogic boards, Digium cards do not have an array
<br>of<br>> > on-board DSPs to handle the signal processing needed to accomplish<br>good<br>> > Answering Machine detection.<br>> ><br>> > What percentage of Answering Machine detection are you trying to
<br>achieve?<br>> ><br>> > How much delay time is acceptable to you? Dialogic systems range<br>from<br>1-3<br>> > seconds of delay while they process the signal to determine whether<br>it<br>> > thinks there is a person on the other end.
<br>> ><br>> > How many Lines do you think you are going to be able to have dialing<br>> > outbound with Answering Machine detection active?<br>> ><br>> > What kind of lines(trunks) will you be using this with? (T1/E1s,
<br>SIP,<br>> > IAX...)<br>> ><br>> > What predictive dialing software are you planning on using on<br>Asterisk?<br>><br>><br>> Gee - my code for answering machine detection works within a second or
<br>two<br>> and simply works by listening for the "blah blah blah" of an answering<br>> machine as opposed to the shortish phrase and wait of a real person.<br>It<br>> manages about 90-95% correct detection.
<br>><br>> Does that rate as OK? If so, I'll put it up on <a href="http://bugs.digium.com">bugs.digium.com</a><br>><br>> Steve<br>><br><br><br>_______________________________________________<br>Asterisk-Dev mailing list
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http://lists.digium.com/mailman/listinfo/asterisk-dev</a><br></blockquote></div><br><br clear="all"><br>-- <br>"We hold [...] that all men are created equal; that they are<br>endowed [...] with certain inalienable rights; that among
<br>these are life, liberty, and the pursuit of happiness"<br> -- Thomas Jefferson