Having a look into the sources of librosa.display.specshow reveals how bins are converted into frequencies internally: The plotting uses librosa.core.fft_frequencies, which shows that it is basically the same as numpy.fft.fftfreq:
>>> librosa.fft_frequencies(sr=22050, n_fft=16)
array([ 0. , 1378.125, 2756.25 , 4134.375,
I was hoping someone would be able to give me an explanation
hilighting some of the differences between cochleagrams and STFTs, and
what their individual use-cases would be
STFT (short time fourier transform) is a technique that is used to obtain a time-frequency representation of audio signals. Spectrograms and phase vocoders are arguably the most ...