
ccMixter
The premier open-source repository for Creative Commons-licensed stems, acappellas, and collaborative remixes.

Deezer source separation library with pretrained models for audio decomposition.
Spleeter is a Deezer-developed source separation library, built in Python using TensorFlow. It provides pre-trained models for separating audio tracks into stems such as vocals, drums, bass, and other instruments. Spleeter offers separation capabilities including 2, 4, and 5 stem models. The architecture leverages deep learning models trained on large datasets, enabling it to decompose audio files with impressive speed, reaching 100x real-time on GPUs for 4-stem separation. It can be used via command-line or integrated as a Python library. Use cases include music production, remixing, audio restoration, and AI-driven music analysis. The tool supports pip and Docker installations.
Spleeter is a Deezer-developed source separation library, built in Python using TensorFlow.
Explore all tools that specialize in source separation. This domain focus ensures Spleeter delivers optimized results for this specific requirement.
Explore all tools that specialize in audio decomposition. This domain focus ensures Spleeter delivers optimized results for this specific requirement.
Explore all tools that specialize in stem extraction. This domain focus ensures Spleeter delivers optimized results for this specific requirement.
Explore all tools that specialize in isolate vocals. This domain focus ensures Spleeter delivers optimized results for this specific requirement.
Explore all tools that specialize in isolate instruments. This domain focus ensures Spleeter delivers optimized results for this specific requirement.
Explore all tools that specialize in create acapella tracks. This domain focus ensures Spleeter delivers optimized results for this specific requirement.
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