{"library":"asteroid-filterbanks","type":"library","category":null,"description":"Asteroid's filterbanks is a Python library providing various filterbank implementations for audio signal processing within deep learning contexts, primarily using PyTorch. It is designed to be a modular toolkit for researchers working on audio source separation. The library is actively maintained with frequent updates, particularly concerning PyTorch compatibility, with the current version being 0.4.0.","language":"python","status":"active","version":"0.4.0","tags":["audio","signal-processing","deep-learning","pytorch","source-separation","filterbanks","dsp"],"last_verified":"Wed May 20","install":[{"cmd":"pip install asteroid-filterbanks","imports":["from asteroid_filterbanks.enc_dec import Filterbank, Encoder, Decoder","from asteroid_filterbanks import FreeFB, STFTFB, ParamSincFB, MelGram","from asteroid_filterbanks.pcen import PCEN","from asteroid_filterbanks.enc_dec import make_enc_dec"]}],"homepage":null,"github":"https://github.com/asteroid-team/asteroid-filterbanks","docs":null,"changelog":null,"pypi":"https://pypi.org/project/asteroid-filterbanks/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":20,"avg_install_s":67.9,"avg_import_s":5.84,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/asteroid-filterbanks/compatibility"}}