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...

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Bibliographische Detailangaben
Hauptverfasser:	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
Sprache:	eng ; fre ; ger
Schlagworte:	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
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Beschreibung
Zusammenfassung:	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.