Harmonizing the voices of AI: Exploring generative music models, voice cloning, and voice transfer for creative expression

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.