Invention Grant
- Patent Title: Machine learning-based audio codec switching
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Application No.: US17115397Application Date: 2020-12-08
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Publication No.: US11425259B2Publication Date: 2022-08-23
- Inventor: Ming Shan Kwok , Hsin Fu Henry Chiang
- Applicant: T-Mobile USA, Inc.
- Applicant Address: US WA Bellevue
- Assignee: T-Mobile USA, Inc.
- Current Assignee: T-Mobile USA, Inc.
- Current Assignee Address: US WA Bellevue
- Agency: Lee & Hayes, P.C.
- Main IPC: H04M7/00
- IPC: H04M7/00 ; G10L19/24 ; G06N20/00 ; H04B17/327 ; H04W24/04

Abstract:
Described herein are techniques, devices, and systems for providing an optimal voice experience over varying radio frequency (RF) conditions while using EVS audio codecs. A user equipment (UE) may adaptively transition between using a music-capable EVS codec (e.g., EVS-FB) as a default audio codec that provides a first audio bandwidth and a different EVS audio codec that provides a second audio bandwidth that is less than the first audio bandwidth. The transition to the different EVS audio codec may occur in response to determining a value indicative of a RF condition associated with a serving base station is less than a threshold value, which allows for providing preserving at least a minimal level of voice quality in degraded RF conditions.
Public/Granted literature
- US20220182495A1 MACHINE LEARNING-BASED AUDIO CODEC SWITCHING Public/Granted day:2022-06-09
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