Comparative evaluation of generative audio models for precise disease classification via sound-based datasets

Abstract Generative models play a pivotal role in speech and audio generation, and recent advancements have expanded their applications in medical diagnosis. This study provides a comprehensive comparative analysis of various generative models, focusing on their impact on the healthcare sector. The...

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Autors principals:	Esraa Hassan, Nora El-Rashidy
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2026-03-01
Col·lecció:	Journal of Big Data
Matèries:	Artificial intelligence Deep learning Generating adversarial network Sound-based datasets Precise disease classification
Accés en línia:	https://doi.org/10.1186/s40537-026-01393-w
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