Systems, methods, and media for determining fraud risk from audio signals
作者： Torsten Zeppenfeld , Lisa Guerra , Vipul Vyas , Anthony Rajakumar
DOI:
关键词: Event (computing) 、 Channel models 、 Speech recognition 、 Path (computing) 、 Communication channel 、 Computer science 、 Identifier 、 Audio signal 、 Server system
摘要: Systems, methods, and media for determining fraud risk from audio signals non-audio data are provided herein. Some exemplary methods include receiving an signal associated identifier, a event identifier with event, speaker model based on the received signal, channel path of using server system, updating fraudster database to determined comparison identified, voice identifier.
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