This document describes version 0.10 of TorchAudio: building blocks for
machine learning applications in the audio and speech processing domain. The
objective of TorchAudio is to accelerate the development and deployment of
machine learning applications for researchers and engineers by providing
off-the-shelf building blocks. The building blocks are designed to be
GPU-compatible, automatically differentiable, and production-ready. TorchAudio
can be easily installed from Python Package Index repository and the source
code is publicly available under a BSD-2-Clause License (as of September 2021)
at this https URL In this document, we provide an overview
of the design principles, functionalities, and benchmarks of TorchAudio. We
also benchmark our implementation of several audio and speech operations and
models. We verify through the benchmarks that our implementations of various
operations and models are valid and perform similarly to other publicly
available implementations.

介绍了 TorchAudio 0.10 版本，提供了音频和语音处理领域的机器学习应用程序的构建块，可以在 Python Package Index 中轻松安装并提供了生产就绪的 GPU 兼容的代码，其各种操作和模型实现与其他公开实现类似。