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GitHub / IliaZenkov / sklearn-audio-classification
An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IliaZenkov%2Fsklearn-audio-classification
Stars: 64
Forks: 17
Open Issues: 1
License: mit
Language: Jupyter Notebook
Repo Size: 4.77 MB
Dependencies: pending
Created: over 3 years ago
Updated: about 1 month ago
Last pushed: over 3 years ago
Last synced: about 1 month ago
Topics: audio, audio-data, classification, deep-learning-tutorial, deep-neural-networks, dnns, emotion, emotion-detection, emotion-recognition, feature-engineering, machine-learning, machine-learning-tutorials, mlp-model, model-evaluation, ravdess-dataset, scikit-learn, sklearn