- Patent Title: Generating audio using auto-regressive generative neural networks
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Application No.: US18463092Application Date: 2023-09-07
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Publication No.: US12020138B2Publication Date: 2024-06-25
- Inventor: Neil Zeghidour , David Grangier , Marco Tagliasacchi , Raphaël Marinier , Olivier Teboul , Zalán Borsos
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/0455
- IPC: G06N3/0455 ; G06N3/0475

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a prediction of an audio signal. One of the methods includes receiving a request to generate an audio signal; obtaining a semantic representation of the audio signal; generating, using one or more generative neural networks and conditioned on at least the semantic representation, an acoustic representation of the audio signal; and processing at least the acoustic representation using a decoder neural network to generate the prediction of the audio signal.
Public/Granted literature
- US20240078412A1 GENERATING AUDIO USING AUTO-REGRESSIVE GENERATIVE NEURAL NETWORKS Public/Granted day:2024-03-07
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