ClearerVoice-Studio vs GHCup

ClearerVoice-Studio is an open-source toolkit for AI speech processing, aimed at researchers, developers, and end-users. Its tasks include speech enhancement, speech separation, speech super-resolution, and audio-visual target-speaker extraction. The project provides pretrained models for these tasks and scripts for training and fine-tuning. It also includes SpeechScore for intrusive and non-intrusive speech-quality assessment, with metrics including PESQ, DNSMOS, SNR, and SI-SDR. The toolkit processes audio and video in batches and provides a Python interface for file paths, directories, `.scp` lists, and NumPy input-to-output use. Listed audio formats include WAV, AAC, AC3, AIFF, FLAC, M4A, MP3, OGG, OPUS, WMA, and WEBM; FFmpeg is required for codecs beyond WAV. Installation is available through `pip install clearvoice` or from the GitHub repository. Pretrained models are fetched from Hugging Face during inference, with ModelScope downloads available manually. It is released under Apache License, Version 2.0.

GHCup is a free, open-source installer and version manager for the Haskell toolchain. It installs and manages GHC, cabal-install, Haskell Language Server (HLS), and Stack versions; Stack can also be configured to use GHC versions managed by GHCup. Listed functionality includes a terminal user interface and GHC cross-compilation. Installation guidance covers terminal commands for Linux, macOS, FreeBSD, and WSL2, alongside PowerShell instructions for Windows. The project describes Windows support as being in an early stage and uses a shim wrapper because Windows does not properly support symbolic links. On macOS, GHCup may prompt for command line tools; Windows setup includes msys2. The installer should be run as a non-root user on Unix-like systems and a non-admin user on Windows. GHCup relies on precompiled binaries, so compatibility can depend on the distribution and libraries such as libtinfo. WSL1 and macOS versions earlier than 10.13 are unsupported. Some ARM binaries are experimental: Stack and HLS on Linux ARM, and HLS bindists on macOS aarch64. Configuration can be stored in ~/.ghcup/config.yaml, with command-line options taking precedence.