{"library":"torchcrepe","type":"library","category":null,"description":"Torchcrepe is a PyTorch implementation of the CREPE pitch tracker, a state-of-the-art monophonic pitch estimation tool based on a deep convolutional neural network. It allows users to compute pitch and periodicity from audio signals, offering functionalities for direct file processing, filtering, thresholding, and various decoding options. The library is actively maintained, with regular updates to its PyPI package.","language":"python","status":"active","version":"0.0.24","tags":["audio","pitch tracking","deep learning","pytorch","music information retrieval"],"last_verified":"Sun May 24","install":[{"cmd":"pip install torchcrepe","imports":["import torchcrepe","from torchcrepe import predict","from torchcrepe.load import audio"]}],"homepage":null,"github":"https://github.com/maxrmorrison/torchcrepe","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torchcrepe/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":80.1,"avg_import_s":7.96,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torchcrepe/compatibility"}}