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Audio Preprocessing - Jupyter Notebook

The example audio_preprocessing_example.ipynb demonstrates integrating ClearML into a Jupyter Notebook which uses PyTorch and preprocesses audio samples. ClearML automatically logs spectrogram visualizations reported by calling Matplotlib methods, and audio samples reported by calling TensorBoard methods. In the example, we also demonstrate connecting parameters to a Task and logging them. When the script runs, it creates an experiment named data pre-processing, which is associated with the Audio Example project.

Plots#

ClearML automatically logs the waveform which the example reports by calling a Matplotlib method. These appear in RESULTS > PLOTS.

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Debug Samples#

ClearML automatically logs the audio samples which the example reports by calling TensorBoard methods, and the spectrogram visualizations reported by calling Matplotlib methods. They appear in RESULTS > DEBUG SAMPLES.

Audio Samples#

You can play the audio samples by double clicking the audio thumbnail.

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Spectrogram Visualizations#

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You can view the spectrogram visualizations in the ClearML Web UI image viewer.

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