Back to Portfolio
JM
Case Study • AI Music Engine

Virenesis Music Studio — AI Music & Lyric Production Dashboard

The Challenge

Generating high-fidelity AI music often produces pitch instability, vocal echoing, static background beats, and imprecise language enunciation. Existing tools lack stem isolation and dual-version comparison workflows.

Technical Stack & Engines

React 19ACE-Step 1.5 SFTGoogle Gemini 3.6 FlashHTML5 Web Audio APIViteOllama LLMCyber Neon Design System

The Solution: SFT Audio Pipeline & High-Tech Fourier Visualizers

Architected a real-time web application integrating the ACE-Step 1.5 SFT model and Gemini 3.6 Flash. Every generation produces two distinct track variations (Version A & Version B) with dynamic BPM extraction, auto-detected Tagalog/OPM vs English lyric phrasing, Suno/TopMediai pacing meta-tags, and 100% strict stem separation.

Dual-Version Generation

Generates Version A and Version B simultaneously with distinct random seeds, custom BPM variations, and unique vibe tags.

Strict Stem Isolation

Instant zero-bleed stem extraction allowing users to play Full Mix, Clean Vocals, or Pure Instrumental tracks independently.

Suno/TopMediai Pacing Formatter

Injects structural section headers (`[Verse 1 | slow tempo | clear vocals]`) and auto-detects lyric vocabulary.

Fourier FFT Spectrum Visualizer

Dual-mirrored HTML5 Web Audio FFT spectrum analyzer with neon glow, peak gravity dots, and oscilloscope sine overlay.

UI Screenshots

Virenesis Music Studio Main Dashboard

Main Generation Workspace & Cyber Tagger Controls

Fourier Spectrum Visualizer & Audio Player Deck

High-Tech Fourier Transform Spectrum Analyzer & Player Deck