essentia-tensorflow


Nameessentia-tensorflow JSON
Version 2.1b6.dev1389 PyPI version JSON
download
home_pagehttp://essentia.upf.edu
SummaryLibrary for audio and music analysis, description and synthesis, with TensorFlow support
upload_time2025-07-24 21:11:11
maintainerNone
docs_urlNone
authorDmitry Bogdanov
requires_pythonNone
licenseNone
keywords audio music sound dsp mir
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            
Essentia is an open-source C++ library with Python bindings for audio analysis and audio-based music information retrieval. It contains an extensive collection of algorithms, including audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, a large variety of spectral, temporal, tonal, and high-level music descriptors, and tools for inference with deep learning models. Designed with a focus on optimization in terms of robustness, computational speed, low memory usage, as well as flexibility, it is efficient for many industrial applications and allows fast prototyping and setting up research experiments very rapidly.

Website: https://essentia.upf.edu

            

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