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DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable Learners

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Bhati, Saurabhchand, Gong, Yuan, Karlinsky, Leonid, Kuehne, Hilde, Feris, Rogerio, Glass, James
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Audio and Speech Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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