<div>Hi, </div><div><br></div><div>the basic settings are pretty good ones. What I did to do improve the performance and prevent the false positives, I started to recorded every call, and analyzed every incorrect detection :) Fairly soon I came with optimal set for my environment:</div>
<div><br></div><div>initial_silence = 2500</div><div>greeting = 1500</div><div>after_greeting_silence = 300</div><div>total_analysis_time = 5000</div><div>min_word_length = 120</div>
<div>between_words_silence = 50</div><div>maximum_number_of_words = 4 ; it's usuall to pickup saying "Jon Anderssen, hello" in here</div><div>silence_threshold = 384</div><div><br></div><div>
by the way, for outgoing SIP calls you might want to do this Background trick as it helped me a lot regarding AMD on SIP.</div><div><div><br></div><div>exten => _X.,n,Background(blank_audio)</div><div>exten => _X.,n,AMD</div>
</div><div><br></div><br><div class="gmail_quote">On Wed, Aug 4, 2010 at 5:08 PM, Tino <span dir="ltr"><<a href="mailto:tino@sparksupport.com">tino@sparksupport.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
Hello ,<br><br>I would like to tweak my Answeing Machine Detection (AMD) in Asterisk. My current values are<br><br>AMD(2500|1500|300|5000|120|50|5|256) and we were able to identify approx 25-30 % of all answering machines.<br>
<br>Anybody have any suggestion to improve the accuracy of AMD.<br><br>Thanks<br><br><br><br>
<br>--<br>
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