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公开(公告)号:US10116793B2
公开(公告)日:2018-10-30
申请号:US15370120
申请日:2016-12-06
Applicant: Interactive Intelligence Group, Inc.
Inventor: Felix Immanuel Wyss , Matthew Alan Taylor , Kevin Charles Vlack
Abstract: A system and method are presented for learning call analysis. Audio fingerprinting may be employed to identify audio recordings that answer communications. In one embodiment, the system may generate a fingerprint of a candidate audio stream and compare it against known fingerprints within a database. The system may also search for a speech-like signal to determine if the endpoint contains a known audio recording. If a known audio recording is not encountered, a fingerprint may be computed for the contact and the communication routed to a human for handling. An indication may be made as to if the call is indeed an audio recording. The associated information may be saved and used for future identification purposes.
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公开(公告)号:US20170085710A1
公开(公告)日:2017-03-23
申请号:US15370120
申请日:2016-12-06
Applicant: Interactive Intelligence Group, Inc.
Inventor: Felix Immanuel Wyss , Matthew Alan Taylor , Kevin Charles Vlack
CPC classification number: H04M3/5158 , G09B19/00 , G10L25/48 , G10L25/51 , H04M3/42102 , H04M3/5183 , H04M2203/2027 , H04M2203/558 , H04M2203/6054
Abstract: A system and method are presented for learning call analysis. Audio fingerprinting may be employed to identify audio recordings that answer communications. In one embodiment, the system may generate a fingerprint of a candidate audio stream and compare it against known fingerprints within a database. The system may also search for a speech-like signal to determine if the endpoint contains a known audio recording. If a known audio recording is not encountered, a fingerprint may be computed for the contact and the communication routed to a human for handling. An indication may be made as to if the call is indeed an audio recording. The associated information may be saved and used for future identification purposes.
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