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Voice As Persona: Legal Implications Of AI- Generated Vocal Cloning In The Music Industry

Jun 13
1 min read



Mr Kaustav Chowdhury, LL.M., KIIT School of Law, Bhubaneswar


ABSTRACT


The human voice is an essential aspect of both individuality and creative identity. The recent developments in the realm of generative AI technology have facilitated realistic voice cloning and resulted in the emergence of numerous AI-generated vocal covers. The mentioned situation demonstrates important weaknesses of the current copyright, personality rights, publicity rights, and performers' rights law.


The concept of “voice as persona” is developed in this article to examine the legal consequences of AI vocal impersonation in the context of the music industry. This study conducts comparative doctrinal research on the literature available between 2024 and 2026 and examines problems such as text-and- data-mining exemptions and audio mining, fragmented right of publicity, insufficient consent and remuneration regimes, identity appropriation, artist unemployment, and the psychological and ethical threats posed by voice creation.


The article further asserts that treating voices as protectable persona will be vital for the establishment of sui generis digital replication rights, incorporation of PRAC3 framework (Privacy, Reputation, Accountability, Consent, Credit, Compensation), and other legislative reforms. This will ensure an equal focus on artistic interests and technology advancement within the context of developing laws on artificial intelligence.


Keywords: Voice as Persona, AI Vocal Cloning, Right of Publicity, Digital Voice Replication, PRAC3 Framework, Music Industry Law



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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