Comparison of audio resampling libraries. View the notebook: https://nbviewer.jupyter.org/github/jonashaag/audio-resampling-in-python/blob/master/Audio%20Resampling%20in%20Python.ipynb

Best by quality

1. Good:
   • scikit.samplerate/scikits-samplerate/samplerate/libsamplerate
   • librosa/resampy ("kaiser_best")
   • julius
2. Acceptable:
   • nnresample
   • lilfilter
   • torchaudio (transforms.Resample + resample_waveform)
   • librosa/resampy ("kaiser_fast")
3. Bad:
   • scipy.signal.resample

Best by speed

Downsampling from 48 kHz to 44.1 kHz.

Library	Time on CPU	Time on GPU
soxr	1.16 ms	no support
scipy.signal.resample	2.42 ms	no support
lilfilter	4.23 ms	?
torchaudio (transforms.Resample)	9.98 ms	?
torchaudio (resample_waveform)	10 ms	?
resampy ("kaiser_fast")	10.5 ms	no support
nnresample	16 ms	no support
julius	16.2 ms	?
resampy ("kaiser_best")	44.8 ms	no support
scikits.samplerate	75.5 ms	no support
samplerate	76.8 ms	no support