Harmonizing the voices of AI: Exploring generative music models, voice cloning, and voice transfer for creative expression
1 Department of Physics, Joseph Sarwuan Tarka University, Makurdi, Nigeria.
2 Department of Electrical and Electronics Engineering, University of Ibadan, Ibadan, Nigeria.
3 Department of Telecommunications, Enforcement, Ancillary and Maintenance, National Broadcasting Commission Headquarters, Aso-Villa, Abuja, Nigeria.
4 School of Computer and Information Sciences, University of the Cumberlands, Williamsburg, KY, USA.
5 Department of Electrical Engineering, Prairie View A and M University, Texas, USA.
6 Institute of Engineering, Technology and Innovation Management, University of Port Harcourt, Nigeria.
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 11(01), 372–394.
Article DOI: 10.30574/wjaets.2024.11.1.0072
Publication history:
Received on 19 January 2024; revised on 25 February 2024; accepted on 28 February 2024
Abstract:
The intersection of artificial intelligence (AI) and creative expression has sparked a revolution in various artistic domains. This review paper delves into the realms of generative music models, voice cloning, and voice transfer, exploring their significance in fostering novel avenues for creative expression. Beginning with an overview of AI's evolution in creative arts, we scrutinize the progression of AI in music generation and voice synthesis. We delve into the mechanics and impact of generative music models, followed by an examination of voice cloning technologies and their ethical implications. Furthermore, we explore the application of voice transfer in music creation and its extension to other forms of storytelling and podcasting. Ethical and legal considerations surrounding AI-generated voices are also addressed, alongside user perspectives on creativity and the technical challenges and innovations in this field. Through case studies and future directions, we illuminate the potential of AI-driven creative expression, delineating its implications for the future of art and self-expression.
Keywords:
Artificial Intelligence; Creative Expression; Generative Music Models; Voice Cloning; Voice Transfer; Music Composition
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0