AI Music Unmuted

Jorge, who creates under the name Creaydestruye, is the human behind Vicenia, an AI artist with her own voice, visual identity, music videos, and evolving story. Jorge does not describe himself as a musician in the traditional sense. He comes from photography, communication, and the audiovisual world. But he plays keyboard, develops musical sketches, directs the visual world, and makes the creative decisions that shape Vicenia. This conversation explores a more difficult question than whether AI can make music: when a human conceives the idea, establishes the taste, guides the process, and is completely transparent about the technology, where does authorship begin and end? We also discuss why some listeners reject music as soon as they discover the artist is virtual, how AI gave Jorge creative freedom after frustrating experiences with producers, and why he eventually brought human singers, musicians, and producers back into the process. The episode examines identity, transparency, access to music creation, and whether an artist who does not physically exist can still carry real human intention and emotion. Jorge speaks Spanish, and David speaks English. English subtitles accompany Jorge’s responses, and Spanish subtitles accompany David’s questions on YouTube: https://www.youtube.com/@RealMusic_AI Learn more: https://www.realmusic.ai/ https://vicenia.net/

David Ronan, founder and CEO of RoEx, joins Real Music to talk about where AI fits in music creation, mixing and mastering, and why human taste still matters. We discuss how AI can remove technical barriers without replacing creativity, the difference between assistive tools and fully generated music, how creators can preserve their own sound, and why authenticity may become even more important as AI-generated content grows. David also shares the story behind RoEx, how AI is changing mixing and mastering, and why better tools can help more musicians actually finish and release their work. More conversations on AI, music, and creativity at RealMusic.ai.

Dr. Bill Evans returns to Real Music to demonstrate Prism, a performance-level music technology that can transform recorded audio into something musicians can edit with the flexibility of MIDI while preserving the identity, feel, and intent of the original performer. Bill shows how Prism can isolate individual notes, reconstruct missing sounds, alter timing, change instruments and microphones, control ambience, and reshape a recorded performance without replacing the musician behind it. The goal is not to generate a generic imitation. It is to preserve what makes that specific musician sound like themselves. We also discuss whether easier creative tools can expand musical expression, why traditional audio production methods may be limiting, and how new technology could give musicians more control in the age of generative AI. As Bill puts it, AI itself is neither good nor bad. The question is how we use it. Prism is being developed as a tool that enhances human performance and gives musicians new ways to remain creative, expressive, and relevant. 🌐 More from Real Music: https://www.realmusic.ai

Dr. Bill Evans joins Real Music to break down a side of AI in music that most people never hear about: performance restoration. Instead of using AI to generate songs from scratch, Bill uses it to recover, reconstruct, and better reproduce the fine details of real performances by top-tier musicians. He explains why performance lives in the space between the notes on the page and the emotional impact a listener feels, and how that perspective shaped his work. We get into how badly damaged live recordings from Flying Colors pushed him to develop what he calls “performance restoration,” including a case where seven seconds disappeared from the middle of a Steve Morse solo and he had to reconstruct what was played and what the intent of the performance was. Bill also explains how his work evolved from early AI-assisted restoration into building virtual performance models, including a Marco Minnemann drum instrument that could preserve the exact feel of a recorded performance while allowing new MIDI-driven variations. From there, the conversation opens up into what it really means to restore, recreate, or even predict a performance at the artist level. If you care about musicianship, production, AI, and where performance-level music technology is headed next, this is a fascinating one. 

In this special excerpt from a full conversation with Dr. Bill Evans, legendary guitarist Steve Morse joins the discussion to react to something unexpected. Using AI, Bill was able to recreate a missing portion of one of Steve’s live performances, filling in a section that was never properly recorded. When Steve heard it back, he couldn’t tell where the original ended and the AI reconstruction began. From there, the conversation opens up into something bigger. They explore what it means to use AI at the performance level, where it can restore and enhance what actually happened, and where it still falls short. While AI can replicate elements of style and sound, it struggles with context, feel, and the real-time interaction that happens between musicians. Steve shares his perspective as a lifelong performer, comparing AI to a powerful technology that can be used for both creative and destructive ends. This is not about AI creating music from scratch. It is about what happens when AI steps into the space of human performance, and what that means for musicians going forward.