- 专利标题: Machine learning-based audio codec switching
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申请号: US17115463申请日: 2020-12-08
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公开(公告)号: US11699452B2公开(公告)日: 2023-07-11
- 发明人: Hsin Fu Henry Chiang , Yasmin Karimli , Ming Shan Kwok
- 申请人: T-Mobile USA, Inc.
- 申请人地址: US WA Bellevue
- 专利权人: T-Mobile USA, Inc.
- 当前专利权人: T-Mobile USA, Inc.
- 当前专利权人地址: US WA Bellevue
- 代理机构: Lee & Hayes, P.C.
- 主分类号: G10L19/22
- IPC分类号: G10L19/22 ; H04W76/10 ; G10L19/02 ; G10L25/51
摘要:
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.
公开/授权文献
- US20220180883A1 MACHINE LEARNING-BASED AUDIO CODEC SWITCHING 公开/授权日:2022-06-09
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