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. The example also demonstrates connecting parameters to a Task and logging them. When the script runs, it creates an experiment named data pre-processing in the Audio Example project.

Plots

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

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 DEBUG SAMPLES.