Invention Grant
- Patent Title: Machine learning-based audio codec switching
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Application No.: US17115463Application Date: 2020-12-08
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Publication No.: US11699452B2Publication Date: 2023-07-11
- Inventor: Hsin Fu Henry Chiang , Yasmin Karimli , Ming Shan Kwok
- 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: G10L19/22
- IPC: G10L19/22 ; H04W76/10 ; G10L19/02 ; G10L25/51

Abstract:
Described herein are techniques, devices, and systems for selectively using a music-capable audio codec on-demand during a communication session. A user equipment (UE) may adaptively transition between using a first audio codec that provides a first audio bandwidth and a second audio codec (e.g., the EVS-FB codec) that provides a second audio bandwidth that is greater than the first audio bandwidth. The transition to the second audio codec may occur in response to determining that sound in the environment of the UE includes frequencies outside of a range of frequencies associated with a human voice, such as by determining that music is being played in the environment of the UE, which allows for selectively using a music-capable audio codec when it would be beneficial to do so.
Public/Granted literature
- US20220180883A1 MACHINE LEARNING-BASED AUDIO CODEC SWITCHING Public/Granted day:2022-06-09
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