- 专利标题: MATCHING AUDIO USING MACHINE LEARNING BASED AUDIO REPRESENTATIONS
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申请号: US18047565申请日: 2022-10-18
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公开(公告)号: US20240127827A1公开(公告)日: 2024-04-18
- 发明人: Stephane VILLETTE , Sen LI , Pravin Kumar RAMADAS , Daniel Jared SINDER
- 申请人: QUALCOMM Incorporated
- 申请人地址: US CA San Diego
- 专利权人: QUALCOMM Incorporated
- 当前专利权人: QUALCOMM Incorporated
- 当前专利权人地址: US CA San Diego
- 主分类号: G10L19/00
- IPC分类号: G10L19/00 ; H04L65/70
摘要:
Systems and techniques are described herein for encoding and/or decoding audio information. For example, a process can process an input audio segment to generate a representation of the input audio segment, and can compare the representation of the input audio segment to representations stored in a memory. The representations represent a plurality of audio segments. The process can determine, based on the comparison, target representation(s) of target audio segment(s) from the representations stored in the memory. The process can determine one or more indices associated with the target audio segment(s). The process can then packetize the one or more indices and transmit the one or more packetized indices (e.g., to a decoder configured to decode the packetized indices).
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