seth814/Audio-Classification
Jupyter notebook tutorial series for training deep learning models to classify audio signals using Keras and TensorFlow 2.
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This repository provides a complete pipeline for prototyping audio classification algorithms using deep learning. It demonstrates preprocessing audio into mel spectrograms using Kapre, then training and comparing multiple neural network architectures including Conv1D, Conv2D, and LSTM. The project includes utilities for cleaning audio data, training models, plotting training history, and generating confusion matrices and ROC curves for model evaluation.
Frequently asked
- What is seth814/Audio-Classification?
- Jupyter notebook tutorial series for training deep learning models to classify audio signals using Keras and TensorFlow 2.
- Is Audio-Classification open source?
- Yes — seth814/Audio-Classification is open source, released under the MIT license.
- What language is Audio-Classification written in?
- seth814/Audio-Classification is primarily written in Jupyter Notebook.
- How popular is Audio-Classification?
- seth814/Audio-Classification has 588 stars on GitHub.
- Where can I find Audio-Classification?
- seth814/Audio-Classification is on GitHub at https://github.com/seth814/Audio-Classification.