Torch-STOI

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.