公开(公告)号：US20200312313A1

公开(公告)日：2020-10-01

申请号：US16829705

申请日：2020-03-25

Applicant: PINDROP SECURITY, INC.

Inventor： Vinay MADDALI ,  David LOONEY ,  Kailash PATIL

IPC: G10L15/197 ,  H04M3/51 ,  G10L15/18 ,  G10L15/02 ,  G10L15/04 ,  G10L25/21 ,  G10L15/06 ,  G10L15/22 ,  G10L25/84 ,  G06N20/00 ,  G06N5/04

Abstract: Embodiments described herein provide for automatically classifying the types of devices that place calls to a call center. A call center system can detect whether an incoming call originated from voice assistant device using trained classification models received from a call analysis service. Embodiments described herein provide for methods and systems in which a computer executes machine learning algorithms that programmatically train (or otherwise generate) global or tailored classification models based on the various types of features of an audio signal and call data. A classification model is deployed to one or more call centers, where the model is used by call center computers executing classification processes for determining whether incoming telephone calls originated from a voice assistant device, such as Amazon Alexa® and Google Home®, or another type of device (e.g., cellular/mobile phone, landline phone, VoIP).