Reverse Dependencies of pedalboard

The following projects have a declared dependency on pedalboard:

• aeiou — audio engineering i/o utils
• AudioFusion — Enhance your music experience – effortlessly add immersive 8D, slowed, and reverb effects to any song.
• audiopython — A package with functionality for offline audio processing
• aus-python — A package with functionality for offline audio processing
• elpis — A library to perform automatic speech recognition with huggingface transformers.
• freem-bots — Abstractions over Discord with simple TTS voice support
• harmonai-tools — Training and inference tools for generative audio models from Harmonai
• meditation-audio-generator-openai — A tool to create guided audio meditations (like those found on YouTube but in audio-only form) using OpenAI.
• meditation-video-generator-openai — A tool to create guided meditations (like those found on YouTube) using OpenAI and ElevenLabs.
• megacrazyscripts — Various scripts from justcow.
• muko — 加速实现AIGC、自动办公的中文编程工具
• musicvideos — Old slowedvideos now musicvideos, Various scripts from justcow.
• nendo-plugin-fx-core — NendoFX plugin: Use common audio effects out of the box.
• neophaser — NEOPHASER; or, audio effects as applied to the retina - an application for applying audio effects to image and video.
• pedalboard-pluginary — VST & AU plugin management for Spotify Pedalboard
• pmma — Python Multi-Media API (PMMA) is a multi-purpose API designed to make working on multi-media projects easier and faster!
• reddit-tts-bot — A module that facilitates the creation of short form content from Reddit posts.
• rvc-infer — Python wrapper for inference with rvc
• slowedreverb — A basic python script to make slowed + reverbs.
• slowedvideos — Various scripts from justcow.
• stable-audio-tools — Training and inference tools for generative audio models from Stability AI
• ultimate-rvc — Ultimate RVC
• voicebox-tts — Python text-to-speech library with built-in voice effects and support for multiple TTS engines.
• yta-multimedia — Youtube Autónomo Multimedia Module is here.