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arXiv · 2405.04627

SingIt! Singer Voice Transformation

Amit Eliav·Aaron Taub·Renana Opochinsky·Sharon Gannot
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Abstract

In this paper, we propose a model which can generate a singing voice from normal speech utterance by harnessing zero-shot, many-to-many style transfer learning. Our goal is to give anyone the opportunity to sing any song in a timely manner. We present a system comprising several available blocks, as well as a modified auto-encoder, and show how this highly-complex challenge can be achieved by tailoring rather simple solutions together. We demonstrate the applicability of the proposed system using a group of 25 non-expert listeners. Samples of the data generated from our model are provided.

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Amit Eliav, Aaron Taub, Renana Opochinsky, Sharon Gannot. 2024-05-07. SingIt! Singer Voice Transformation. https://arxiv.org/abs/2405.04627

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