Invention Grant
- Patent Title: Voice data compensation with machine learning
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Application No.: US15497650Application Date: 2017-04-26
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Publication No.: US10217466B2Publication Date: 2019-02-26
- Inventor: Thomas J. Davies , Gabriel Bouvigne , Pascal Thubert , Patrick Wetterwald
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Edell, Shapiro & Finnan, LLC
- Main IPC: G10L19/005
- IPC: G10L19/005 ; G10L21/02 ; G10L15/02 ; G10L25/60 ; G10L21/028 ; G06N99/00

Abstract:
A method comprises: obtaining, at an apparatus, first voice data from a first user device associated with a first speaker participant in a communication session; detecting voice data loss or degradation in the first voice data; determining whether prediction probability of correctly compensating for the voice data loss or degradation is greater than a predetermined probability threshold; if the prediction probability is greater than the predetermined probability threshold, first compensating for the voice data loss or degradation using historical voice data received by the apparatus prior to receiving of the first voice data, the first compensating producing first compensated voice data; if the prediction probability is not greater than the predetermined probability threshold, second compensating for the voice data loss or degradation by inserting noise to the first voice data to produce second compensated voice data; and outputting the first compensated voice data or the second compensated voice data.
Public/Granted literature
- US20180315438A1 VOICE DATA COMPENSATION WITH MACHINE LEARNING Public/Granted day:2018-11-01
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