GENERATING AUDIO USING AUTO-REGRESSIVE GENERATIVE NEURAL NETWORKS

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...

Full description

Saved in:
Bibliographic Details
Main Authors TAGLIASACCHI, Marco, DENK, Timo Immanuel, ZEGHIDOUR, Neil, ENGEL, Jesse, BORSOS, Zalán, AGOSTINELLI, Andrea, SHARIFI, Matthew, GRANGIER, David, MARINIER, Raphaël, TEBOUL, Olivier, CAILLON, Antoine, FRANK, Christian, VERZETTI, Mauro, ROBERTS, Adam Joseph
Format Patent
LanguageEnglish
Published 20.06.2024
Subjects
ACOUSTICS
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
MUSICAL INSTRUMENTS
PHYSICS
SPEECH ANALYSIS OR SYNTHESIS
SPEECH OR AUDIO CODING OR DECODING
SPEECH OR VOICE PROCESSING
SPEECH RECOGNITION
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:Application Number: AU20230337867