Clementine Extended v0.0.4-experimental - AI Stem Separation Release

[Wacken2012]

🎛️ Clementine Extended v0.0.4-experimental

Major Release with AI-Powered Stem Separation & Multitrack Mixing

✨ What's New

🤖 Offline AI Stem Separation - Split any song into vocals, drums, bass, and other instruments using Demucs AI models
🎚️ Professional Mixing Interface - Independent volume, mute, and solo controls for each stem
🎵 Quick Presets - One-click karaoke mode, instrumental mode, and stem isolation
⚡ Zero-latency Playback - GStreamer multitrack engine for seamless audio blending
🔧 Robust Processing - 15-minute timeout protection with comprehensive error handling

🚀 Key Features

• Real-time Multitrack Mixing: Control each stem independently during playback
• High-Quality AI Separation: Powered by state-of-the-art Demucs models
• Automatic Model Management: Downloads and manages 2-4GB AI models automatically
• Professional UI: Dedicated AI Stem Mixer with volume sliders and mute toggles
• GPL v3 Compliant: Fully open-source with compatible dependencies

💾 System Requirements

• OS: Linux (Ubuntu 20.04+), Windows 10, macOS 10.15+
• CPU: Dual-core 2.0 GHz (Quad-core recommended for AI processing)
• RAM: 8 GB (16 GB recommended for large files)
• Python: 3.8+ with pip and venv support

🍓 Raspberry Pi Support

• Minimum: Raspberry Pi 5 (8GB) - Recommended for AI stem separation
• Alternative: Raspberry Pi 4 (8GB) - Limited AI performance, basic playback only
• Performance Note: AI stem separation is CPU-intensive and may take 5-10x longer than x86_64 systems

📥 Download & Installation

Latest Release: v0.0.4-experimental

Quick Setup:

# Set up Python environment  
python3 -m venv stem_separation_env
source stem_separation_env/bin/activate
pip install torch demucs

# Run the application and enable AI features in View → AI Stem Mixer