Advancements in End-to-End Audio Style Transformation: A Differentiable Approach for Voice Conversion and Musical Style Transfer

Advancements in End-to-End Audio Style Transformation: A Differentiable Approach for Voice Conversion and Musical Style Transfer

Introduction: This study introduces a fully differentiable, end-to-end audio transformation network designed to overcome these limitations by operating directly on acoustic features. Methods: The proposed method employs an encoder–decoder architecture with a global conditioning mechanism. It elimina...

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Bibliographic Details
Main Authors: Shashwat Aggarwal, Shashwat Uttam, Sameer Garg, Shubham Garg, Kopal Jain, Swati Aggarwal
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:AI
Subjects:
voice conversion
musical style transfer
audio transformations
end-to-end audio pipeline
Online Access:https://www.mdpi.com/2673-2688/6/1/16
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