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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, 5512.5 ,...


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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 ...


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