Earlier quoted context omitted.
This is a pretty good introductory primer. https://medium.com/analytics-vidhya/understanding-the-mel-sp... 1. STFT (get frequencies from the audio signal) 2. Log scale/ decibel scale (since we hear on the log scale) 3. Optionally convert to the Mel scale (filters to how humans hear) Happy to answer any questions
Thanks for your effort in sharing the link- am kind of comfortable with most of the theoretical aspects of STFT/FFT/MelScale etc.. but when i look at the spectrogram i still feel am missing something. When i look at the spectrogram i want to know how clear is the quality of the speech in the audio - is there background noise - Is there a reverb - Is there a loss anywhere - I have a feeling that these are possible to…
For example:
- Sine sweeps (a sine wave that starts at a low frequency and sweeps up to a high one) - to learn associate the frequencies you hear with the Y-axis
- Sine pulses at various frequencies - to better understand the time axis
- different types of noise (e.g. white)
Perhaps move on to your own voice as well, and try different scales (log or mel spectrograms, which are commonly used).
With this, I think you can develop a familiarity quickly!