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sonic-analysis

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AudioMuse-AI

NeptuneHub / AudioMuse-AI

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AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Jellyfin, Navidrome, LMS, Lyrion, and Emby: no metadata or external services required.

music docker kubernetes open-source playlist self-hosted emby open-source-project librosa clap smart-playlists onnx jellyfin k3s jellyfin-plugin navidrome llm ollama lyrion sonic-analysis
  • Updated Jun 15, 2026
  • Python

NeptuneHub / AudioMuse-AI-DCLAP

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AudioMuse-AI-DCLAP is a lightweight, high-speed distilled version of LAION CLAP, designed for fast and efficient text-to-music search

python deep-learning pytorch music-search music-information-retrieval clap distillation onnx fast-inference audio-embedding edge-ai huggingface cross-modal-retrieval transformer-models text-to-audio model-distillation audio-retrieval lightweight-model multimodal-ai sonic-analysis
  • Updated Mar 11, 2026
  • Python

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