Essentia TensorFlow Models For Audio And Music Processing On The Web
summary
A collection of pre-trained TensorFlow.js music models ships as essentia.js-model and runs on Essentia’s WebAssembly backend to produce genre, mood, danceability, instrumentation, voice/gender, tempo and embedding outputs from browser or Node.js. Pipelines use Web Audio API, Web Workers or Audio Worklets and an npm package for easy import. On an average MacBook a one‑minute 16 kHz WAV yields model inference in under 3 seconds while feature extraction dominates total time, highlighting room for optimization. Pre-trained, lightweight models available from the project repo.
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chapters (5)
- 0:00Introduction to web ML
- 1:16Essentia TensorFlow models
- 2:23Essentia.js architecture
- 3:24Implementation and examples
- 6:28Benchmarking and future work
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