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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

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Comparison of Python audio resampling implementations

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