An alpine-based Essentia extractor docker container image.
Essentia extractors allow to extract low and high level musical information from audio data (e.g. average_loudness, bpm, danceability, electronic).
Some of the extracted fields and detection accurracies are described here (for an older version, though).
Differences compared to the official pre-built binaries and container (as of 2023):
- The binaries are compiled with Gaia.
- Contains the SVM models and a corresponding example profile.
- Uses Alpine Linux base image instead of Debian.
- Multi-arch image that works on both amd64 and arm64 Linux machines.
The following example shows how to download an audio file, analyze it using essentia_streaming_extractor_music and print the result JSON:
docker run --rm ghcr.io/mgoltzsche/essentia sh -euxc '
URL=https://www.learningcontainer.com/wp-content/uploads/2020/02/Kalimba.mp3
wget -qO input.mp3 $URL
essentia_streaming_extractor_music input.mp3 - /etc/essentia/profile.yaml'For more information, see the Essentia Extractor documentation.
Essentia is an open-source C++ library with Python bindings for audio analysis and audio-based music information retrieval. It is released under the Affero GPLv3 license and is also available under proprietary license upon request. This project is just a redistribution of the library, its extractor CLIs as well as its SVM models as a Linux container image. Learn more about the Essentia project