spotify/realbook
Easier audio-based machine learning with TensorFlow.
This is a Python library that simplifies building audio classification models. It takes raw audio data, transforms it into various spectral representations like spectrograms, and feeds these into a deep learning model for tasks like sound event detection or music genre classification. This tool is for machine learning engineers or data scientists who work with audio.
129 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are developing deep learning models for audio data and need standardized, pre-tested components for audio feature extraction and model training in TensorFlow/Keras.
Not ideal if you are new to machine learning or deep learning, or if your primary focus is not audio-based tasks.
Stars
129
Forks
11
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 06, 2025
Commits (30d)
0
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