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corv
Hi @psobot, yes, there seem to be more differences. Resampy also provides [pre-computed window](https://github.com/bmcfee/resampy/blob/1f387d12a4de6d1d2daf5a363e8ea4f55414fa64/resampy/filters.py#L140-L184) filters as `kaiser_best` and `kaiser_fast`, maybe that could be a starting point. `resampy` + `kaiser_best` also...
Revisiting this issue, I solved this in my application by using a low pass filter set to `target_sampling_rate / 2` before and after resampling. I guess this is common practice...