Feature engineering for time series (audio signals)
As of 2019, the most common approach is to convert the raw audio waveform to a time-frequency representation ("spectogram"). The most commonly used spectrogram for general audio is log-scaled mel-spectrograms.
This allows to use a 2D CNN, very similar to what one would use for images.