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

• 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)

• Computing multiple spectrograms with the Core API
• Computing multiple spectrograms with the Public API