example_multiple_spectrograms.rst

Computing multiple spectrograms

In this example, we want to export spectrograms drawn from the sample audio dataset with the following requirements:

• First spectrogram starts at 2022-09-25 22:35:15
• Last spectrogram ends at 2022-09-25 22:36:25
• Spectrograms represent 5 s-long audio data
• Audio data are downsampled sampled at 24 kHz before spectrograms are computed
• The DC component of the audio data is rejected before spectrograms are computed
• Spectrograms that are in the gap between recordings should be skipped

The FFT used for computing the spectrograms will use a 1024 samples-long hamming window, with a 128 samples-long hop.

Moreoever, we will:

• Export the matrices that represent the spectrogram values in a NPZ file
• Compute a power spectrum density estimate of the audio data (welch)

.. toctree::
   :maxdepth: 1

   example_multiple_spectrograms_core
   example_multiple_spectrograms_public