Re: [asterisk-users] Identify remote prompts: Partial audio matching?
On Wed, Aug 4, 2010 at 10:12 PM, Philipp von Klitzing klitz...@pool.informatik.rwth-aachen.de wrote: Ok, here's the challenge: I would like to be able to find, match - and then react - upon prompts that are presented by the outbound/remote side of a call. Think mobile phone and This user is temporarily unavailable. Collecting a limited number of known prompt snippets should not be a problem, but how would you then detect their presence in a longer recording (or live audio stream)? Recently there was an at least slightly related posting on this list, if I recall that correctly, but I have simply not been able to turn this up. Philipp P.S.: This is all about audio analysis, not about cause codes. Exact match: http://github.com/Motiejus/SoundPatty Regards Motiejus Jakštys -- _ -- Bandwidth and Colocation Provided by http://www.api-digital.com -- New to Asterisk? Join us for a live introductory webinar every Thurs: http://www.asterisk.org/hello asterisk-users mailing list To UNSUBSCRIBE or update options visit: http://lists.digium.com/mailman/listinfo/asterisk-users
[asterisk-users] Identify remote prompts: Partial audio matching?
Ok, here's the challenge: I would like to be able to find, match - and then react - upon prompts that are presented by the outbound/remote side of a call. Think mobile phone and This user is temporarily unavailable. Collecting a limited number of known prompt snippets should not be a problem, but how would you then detect their presence in a longer recording (or live audio stream)? Recently there was an at least slightly related posting on this list, if I recall that correctly, but I have simply not been able to turn this up. Philipp P.S.: This is all about audio analysis, not about cause codes. -- _ -- Bandwidth and Colocation Provided by http://www.api-digital.com -- New to Asterisk? Join us for a live introductory webinar every Thurs: http://www.asterisk.org/hello asterisk-users mailing list To UNSUBSCRIBE or update options visit: http://lists.digium.com/mailman/listinfo/asterisk-users
Re: [asterisk-users] Identify remote prompts: Partial audio matching?
From: asterisk-users-boun...@lists.digium.com [mailto:asterisk-users-boun...@lists.digium.com] On Behalf Of Philipp von Klitzing Subject: [asterisk-users] Identify remote prompts: Partial audio matching? Ok, here's the challenge: I would like to be able to find, match - and then react - upon prompts that are presented by the outbound/remote side of a call. Think mobile phone and This user is temporarily unavailable. Collecting a limited number of known prompt snippets should not be a problem, but how would you then detect their presence in a longer recording (or live audio stream)? Recently there was an at least slightly related posting on this list, if I recall that correctly, but I have simply not been able to turn this up. Philipp P.S.: This is all about audio analysis, not about cause codes. You might be able to record these snippets then pass them through the Vestec or Lumenvox Speech engine to get what you want. -- _ -- Bandwidth and Colocation Provided by http://www.api-digital.com -- New to Asterisk? Join us for a live introductory webinar every Thurs: http://www.asterisk.org/hello asterisk-users mailing list To UNSUBSCRIBE or update options visit: http://lists.digium.com/mailman/listinfo/asterisk-users
Re: [asterisk-users] Identify remote prompts: Partial audio matching?
You might be able to record these snippets then pass them through the Vestec or Lumenvox Speech engine to get what you want. Unfortunately that won't work because: * the containing recordings/feeds can be quite long, can be embedded/surrounded by silence, ringing tones, music or special tones, and the ASR engines are not really designed to handle this situation. * next to this both LumenVox and Vestec do not cover the language(s) that I need this for, since both companies are focused on the American market (and yes, I am aware of Loquendo and Nuance). So that is why I am looking for something like partial audio fingerprinting; this is a bit like these find duplicate mp3 songs in my huge media library tools, only that in this case it is 1. not about an exact duplicate, and 2. the audio quality can vary, and 3. this is about finding contained parts instead of comparing full songs with each other. Philipp -- _ -- Bandwidth and Colocation Provided by http://www.api-digital.com -- New to Asterisk? Join us for a live introductory webinar every Thurs: http://www.asterisk.org/hello asterisk-users mailing list To UNSUBSCRIBE or update options visit: http://lists.digium.com/mailman/listinfo/asterisk-users
