Matthew Alan Taylor - Indianapolis IN, US Kevin Charles Vlack - Ballwin MO, US
Assignee:
Interactive Intelligence, Inc. - Indianapolis IN
International Classification:
G09B 19/00
US Classification:
434219
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 end point 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.
Kevin Vlack - Indianapolis IN, US Felix Immanuel Wyss - Bloomington IN, US
International Classification:
H04M 1/64
US Classification:
379 8801
Abstract:
Systems and methods for the matching of datasets, such as input audio segments, with known datasets in a database are disclosed. In an illustrative embodiment, the use of the presently disclosed systems and methods is described in conjunction with recognizing known network message recordings encountered during an outbound telephone call. The methodologies include creation of a ternary fingerprint bitmap to make the comparison process more efficient. Also disclosed are automated methodologies for creating the database of known datasets from a larger collection of datasets.
- Indianapolis IN, US Matthew Alan Taylor - Indianapolis IN, US Kevin Charles Vlack - Ballwin MO, US
International Classification:
H04M 3/51 H04M 3/42 G10L 25/51
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.
- Indianapolis IN, US Rivarol Vergin - Indianapolis IN, US Ananth Nagaraja Iyer - Carmel IN, US Aravind Ganapathiraju - Hyderabad, IN Kevin Charles Vlack - Ballwin MO, US Srinath Cheluvaraja - Carmel IN, US
Assignee:
Interactive Intelligence, Inc. - Indianapolis IN
International Classification:
H04B 3/23
US Classification:
37940608, 37940612, 37940613
Abstract:
A system and method are presented for acoustic echo cancellation. The echo canceller performs reduction of acoustic and hybrid echoes which may arise in a situation such as a long-distance conference call with multiple speakers in varying environments, for example. Echo cancellation, in at least one embodiment, may be based on similarity measurement, statistical determination of echo cancellation parameters from historical values, frequency domain operation, double talk detection, packet loss detection, signal detection, and noise subtraction.
Kevin van Vlack (1982-1985), Henry Simpson (1941-1945), Michael Lauria (2000-2004), Michelle Vigilo (1984-1988), Anthony Ruggiero (1981-1985)
Googleplus
Kevin Vlack
Lived:
Indianapolis, IN St. Charles, IL, USA Sendai, Japan Furukawa, Japan Champaign, IL, USA Livermore, CA, USA Tracy, CA, USA Tokyo, Japan Nishio, Japan Indianapolis, IN, USA
Work:
Interactive Intelligence, Inc. - Programmer (2007) Precise Path Robotics - Programmer (2006-2007) Nitta Corporation - Programmer (2004-2006) Lawrence Livermore National Laboratory - Programmer (1999-2000) Rahaina - Host (2003-2003)
Education:
University of Illinois at Urbana-Champaign - Computer Science, University of Tokyo - Interdisciplinary Information Studies