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Phlo Young is an independent rapper, songwriter, and self-taught audio engineer exploring how AI-assisted music production can expand creative possibilities while preserving artistic control. His work combines independent recording, music marketing, distribution, and hands-on experimentation with generative audio.

Before adopting AI music tools, Young worked across hip-hop, R&B, electronic music, and country-influenced material. He released the same recordings under different artist identities, testing how artwork, promotion, and audience targeting changed their performance. During the pandemic, he learned Python to automate personal and professional tasks; he has also compared Whisper speech-recognition models through repeated audio tests.

At AI Engineer World’s Fair 2024, Young led a practical workshop on generating, editing, and distributing music. His approach emphasizes several distinctions:

  • Three forms of generative music: Text-to-music creates audio from written instructions; audio-to-music transforms existing sounds; artist-controlled voice conversion modifies recorded vocals. Each raises different questions about authorship, consent, and creative input.
  • Songwriting as an iterative workflow: Young uses language models to refine lyrics and musical instructions, then supplies details such as genre, tempo, key, and existing recordings. He treats Udio’s extensions, remixes, and inpainting as collaborative editing tools, while noting Suno’s tendency toward more immediately polished output.
  • Music stem separation: With Wave Tool or the open-source UVR5 project, Young isolates vocals and instruments so generated songs can be rearranged, mixed, and mastered instead of remaining uneditable clips.

Young continued examining Suno, Udio, and Riffusion in a 2025 generative-music interview. His priority is independent music distribution that gives artists greater access to production without diminishing their creative judgment.

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Key ideas

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Follow Phlo Young from voice conversion and text-generated songs to personalized prompts, lyric preparation, and hands-on control of separated vocals and instruments.

  • Start with the listener’s taste
    1:36 ↗
  • Separate three meanings of AI music
    10:00 ↗
  • A human performance, a different vocal identity
    11:58 ↗
  • Voice conversion in the artist’s hands
    16:42 ↗
  • When the prompt supplies the starting material
    20:10 ↗
  • Beatboxing and desk percussion become arrangements
    24:53 ↗
  • Give everyone a way to generate
    29:03 ↗
  • Build Patrick’s birthday song
    32:12 ↗
  • A songwriting partner and an in-house producer
    35:29 ↗
  • Generate an event song and listen to the birthday results
    39:16 ↗
  • Prepare and edit lyrics before generating audio
    44:02 ↗
  • Generic voices, emotional delivery, and descriptive labels
    45:53 ↗
  • Separate the song into parts you can control
    50:37 ↗

References