Invention Publication
- Patent Title: MATCHING AUDIO USING MACHINE LEARNING BASED AUDIO REPRESENTATIONS
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Application No.: US18047565Application Date: 2022-10-18
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Publication No.: US20240127827A1Publication Date: 2024-04-18
- Inventor: Stephane VILLETTE , Sen LI , Pravin Kumar RAMADAS , Daniel Jared SINDER
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Main IPC: G10L19/00
- IPC: G10L19/00 ; H04L65/70

Abstract:
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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