Re: [asterisk-biz] Asterisk and Yext.com's (on the fly) call transcription..

Call CIA and NSA they know.. project carnivore is based on this tech..

>>-----Original Message-----
>>From: asterisk-biz-bounces@lists.digium.com [mailto:asterisk-biz-
>>bounces@lists.digium.com] On Behalf Of Peter Beckman
>>Sent: September-30-09 12:02 AM
>>To: Commercial and Business-Oriented Asterisk Discussion
>>Subject: Re: [asterisk-biz] Asterisk and Yext.com's (on the fly) call
>>transcription..
>>
>>On Wed, 30 Sep 2009, Ritesh A wrote:
>>
>>> Folks,
>>>
>>> Does anyone have a clue on how Yext transcribes the calls (almost) on
>>> the fly?
>>> I am pretty sure they are using asterisk at the heart and perhaps
>>> using some neat APIs for call transcription.
>>> If you are know of any outfit there that provides similar APIs,
>>please
>>> ping me...
>>>
>>> If anyone is interested in learning more about Yext, here is the
>>video
>>> demo of their interesting demo at TC50
>>>
>>> http://www.ustream.tv/recorded/2163590
>>
>> I am extremely impressed with Yext. Thanks for the link and your
>>post!
>>
>> Here's my take on how they do it.
>>
>> * recording both ends of the call separately (Asterisk can do this)
>> * pass both audio files to a voice processing API (SpinVox)
>> * integrate the relating text into a conversation flow (very cool,
>>not
>> sure how, depends on the API)
>> * parse resulting text into keywords matching categories (maybe
>>scoring
>> them somehow), then if the score is high enough, using a higher
>>level
>> matching (if a year (2007), make (Porche) and model (911) are
>>mentioned,
>> put them together in the right order and put it in the inbox,
>> searchable).
>>
>> Both the merging of the two sides of conversation and The keyword
>>matching
>> is where they really did some cool stuff. While I can think of how
>>they
>> did it in theory, it probably took a lot of work to pull that off.
>> "Automotive" is likely a set of related keywords, and then another
>>set of
>> keyword combinations. One of the combos combine the matches on
>>keywords
>> found, then matches those to "[year] [make] [model]" as a relevant
>> keyphrase if Automotive is selected.
>>
>>Beckman
>>-----------------------------------------------------------------------
>>----
>>Peter Beckman Internet
>>Guy
>>beckman@angryox.com
>>http://www.angryox.com/
>>-----------------------------------------------------------------------
>>----

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