{"library":"torch-stoi","type":"library","category":null,"description":"Torch-STOI is a Python library that provides a PyTorch implementation of the Short-Time Objective Intelligibility (STOI) metric, primarily designed for use as a loss function in deep learning models for tasks like speech enhancement and source separation. It wraps the functionality of the `pystoi` package to calculate both classical and extended STOI. The current version is 0.2.3, and releases are generally infrequent, focusing on functional improvements and correlation with the reference `pystoi` implementation.","language":"python","status":"active","version":"0.2.3","tags":["pytorch","audio","speech processing","stoi","loss function","metrics"],"last_verified":"Mon May 25","install":[{"cmd":"pip install torch-stoi","imports":["from torch_stoi import NegSTOILoss"]}],"homepage":null,"github":"https://github.com/mpariente/pytorch_stoi","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torch-stoi/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":68.9,"avg_import_s":9.74,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torch-stoi/compatibility"}}