Open Source Python Sound/Audio Software
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Python Sound/Audio Software
View 115 business solutionsBrowse free open source Python Sound/Audio Software and projects below. Use the toggles on the left to filter open source Python Sound/Audio Software by OS, license, language, programming language, and project status.
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LAME (Lame Aint an MP3 Encoder)
A high quality MP3 encoder
LAME is an educational tool to be used for learning about MP3 encoding. The goal of the LAME project is to improve the psycho acoustics, quality and speed of MP3 encoding. Note: we provide source code only! -
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spotDL
Download your Spotify playlists and songs along with album art
spotDL is a command-line tool that allows users to download songs and playlists from Spotify by sourcing the audio from YouTube. Built in Python, it automatically matches Spotify tracks with corresponding videos on YouTube and downloads them with embedded metadata. The tool retrieves important information such as album art, song titles, artist names, and lyrics to organize downloaded files. spotDL is designed to be fast, accurate, and easy to use through a simple command-line interface. It supports downloading individual songs, albums, or entire playlists by providing Spotify URLs or search queries. By combining Spotify metadata with YouTube audio sources, spotDL provides a convenient way to build a local music library. -
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Audio toolkit for streaming, aiming at complex Internet radio systems. Our stream generator is highly extensible and flexible. Script based, it can be a fully automatic daemon streamer, but is also used for live shows with an user-friendly GUI.
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HuMidi
Play MIDI like a human in ROBLOX with automatic sustain pedals.
HuMidi is a universal piano auto player for ROBLOX. It plays even the most generic MIDI file with great depth, thanks to the humanization and automatic sustain pedal generation algorithms. The pedals are generated with a thorough analysis of the MIDI data, adding more depth to your performance that no other MIDI players could! Personally have been tested in: - Visual Pianos - Starving Pianists - Digital Piano - Piano's Got Talent This tool is universal, as long as the piano in-game allows to be played on a keyboard. -
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Spatial Media
Specifications and tools for 360º video and spatial audio
spatial-media provides tools for working with spherical video and spatial audio metadata so players and platforms can correctly render immersive media. The utilities inject, inspect, and extract metadata in common container formats (MP4/WebM) to signal 360° projection type, stereoscopy mode, and spatial audio layout. Creators use it to prepare 360/VR180 assets for upload so services know whether a video is monoscopic, top-bottom stereo, or side-by-side, and whether ambisonic audio is present. By separating metadata handling from encoding, the tools slot into existing editing/export workflows without requiring specialized NLE support. They help ensure assets play back with the right projection, field of view, and head-tracked audio in compliant players. For archive and validation use cases, the scripts can also read existing flags to diagnose why a video isn’t being recognized as immersive. -
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EasyABC
EasyABC is an open source ABC editor
EasyABC allows the user to create, edit, view, play, convert music written in the ABC music notation language. The program was originally written in Python 2.7 and WxPython by Nils Liberg and runs on Windows, OSX, and Linux. Jan Wybren de Jong has converted to run on Python 3.8 or higher. Frédéric Aupépin has been supporting EasyABC on OSX. EasyABC depends upon other external programs like abc2midi, abcm2ps, fluidsynth. If you install the Windows or Mac executables most of these programs are automatically included. -
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VCClient
Software that uses AI to perform real-time voice conversion
VCClient is a real-time voice conversion system that uses machine learning models to transform a speaker’s voice into another voice with minimal latency. It is designed for live applications such as streaming, gaming, and virtual communication, where immediate feedback is essential. The system supports multiple voice conversion models, including RVC and other neural network-based approaches, allowing users to switch between different voices or customize their output. It provides both a graphical user interface and API access, making it suitable for casual users as well as developers who want to integrate voice transformation into their own applications. The project also supports GPU acceleration, enabling faster inference and smoother real-time performance on compatible hardware. Additionally, it includes tools for training and managing voice models, giving users the ability to create personalized voice profiles. -
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AMV-Converter
Converts Videos to .AMV (Used For Cheap MP3 Players)
AMV Converter is a lightweight tool designed to convert videos to the AMV (Actions Media Video) format — a proprietary format used primarily in older MP4/MP3 players. Built using ffmpeg, this converter is optimized to produce AMV files with smaller file sizes, perfect for low-storage portable devices. The tool also includes a built-in video downloader powered by yt-dlp, with support for a wide range of video formats and subtitle/audio preservation options. -
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page. -
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Spleeter
Deezer source separation library including pretrained models
Spleeter is the Deezer source separation library with pretrained models written in Python and using Tensorflow. It makes it easy to train music source separation models (assuming you have a dataset of isolated sources), and provides already trained state of the art models for performing various flavours of separation. 2 stems and 4 stems models have state of the art performances on the musdb dataset. Spleeter is also very fast as it can perform separation of audio files to 4 stems 100x faster than real-time when run on a GPU. We designed Spleeter so you can use it straight from command line as well as directly in your own development pipeline as a Python library. It can be installed with Conda, with pip or be used with Docker. -
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Tauon
The music player of today
Tauon is a modern, streamlined music player app that's packed with features! An emphasis on playlists and drag-and-drop importing puts you in control of your music library. Faded volume control, 24-bit FLAC support, and gapless playback provide the ultimate listening experience. Excellent CUE sheet support, an original smart playlist system, and network playback from koel or Airsonic servers. Last.fm, Listenbrainz, and Maloja scribbling. MPRIS2 support for desktop integration. Tauon is a playlist-oriented music player that makes the assumption that folders are albums. (You may find the words "album" and "folder" used interchangeably within the interface and documentation) While some features and interface elements may not be immediately intuitive, I hope that once you are familiar, you will find that Tauon is pleasant, fast, and fun to use. -
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GNU Solfege is *free* ear training software written in Python 3.4 using the Gtk+ 3 toolkit. The program is designed to be easily extended with lesson files (data files), so the user can create new exercises.
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Radio Tray is a streaming player for listening to online radios. Any bug or feature request should be reported in https://bitbucket.org/carlmig/radio-tray/issues
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OpenPiano — Virtual Piano for Windows
Desktop piano playable with a PC keyboard, mouse, or MIDI device.
OpenPiano is a Windows desktop piano application that allows you to play, practice, and record music using your PC keyboard, mouse, or a MIDI device. It supports real-time playback using SoundFonts and provides on-screen piano layouts for visual feedback while playing. OpenPiano is designed to run entirely locally. It does not require accounts, cloud services, or an internet connection for core functionality. Project links: Website: https://www.justagwas.com/projects/openpiano GitHub: https://github.com/Justagwas/openpiano Documentation: https://github.com/Justagwas/openpiano/wiki The application is fully open source. All input handling, playback, and MIDI recording/export are performed on the user's machine. VirusTotal scan result: https://www.virustotal.com/gui/file/e2e1c7f88469719f66c9ee4e058fb5d22a557ebae5524b11c52e65f6cc884cac -
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PyTube Downloader
Let's quickly download YouTube videos & playlists with one click.
PyTube Downloader lets you quickly download YouTube videos and playlists with one click. Choose from 144p to 8K quality and download multiple videos simultaneously. PyTube Downloader 让你轻松一键下载 YouTube 视频和播放列表。支持选择 144p 到 8K 的质量，并支持同时下载多个视频。 -
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Swing Music
Swing Music is a beautiful, self-hosted music player
Swing Music is a beautiful, self-hosted music player and streaming server that lets you bring your personal audio library online with a modern browser-based interface, giving you a private alternative to mainstream streaming services. Designed to be both elegant and powerful, the project scans your local music files (like MP3s or FLACs), organizes metadata, and streams them on-demand to any device with a browser or its Android client. It includes features like folder browsing, playlist creation, related artists/albums exploration, and intelligent metadata normalization so your collection feels clean and connected. The interface handles fuzzy search so typos don’t stop you from finding tracks, supports silence detection and crossfading for a smoother listening experience, and provides statistics about your listening habits to help you understand your personal music library. -
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Music Assistant
Music Assistant is a free, opensource Media library manager
Music Assistant Server is the core backend for Music Assistant, a free and open-source music library manager for local and online music sources. It connects streaming services, local files, metadata providers, and many speaker ecosystems into one centralized music system. The server is designed to run on an always-on device such as a Raspberry Pi, NAS, Intel NUC, or similar home server. It can work as a standalone product, but it is especially tailored for Home Assistant users who want automation, voice control, and smart-home playback workflows. Music Assistant supports features such as library matching, metadata enrichment, gapless playback, crossfade, volume normalization, synchronized playback, announcements, and queue transfers. It is a strong choice for users who want one organized media layer across different music services and playback devices. -
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AudioCraft
Audiocraft is a library for audio processing and generation
AudioCraft is a PyTorch library for text-to-audio and text-to-music generation, packaging research models and tooling for training and inference. It includes MusicGen for music generation conditioned on text (and optionally melody) and AudioGen for text-conditioned sound effects and environmental audio. Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. The repo provides inference scripts, checkpoints, and simple Python APIs so you can generate clips from prompts or incorporate the models into applications. It also contains training code and recipes, so researchers can fine-tune on custom data or explore new objectives without building infrastructure from scratch. Example notebooks, CLI tools, and audio utilities help with prompt design, conditioning on reference audio, and post-processing to produce ready-to-share outputs. -
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Speakr
Speakr is a personal, self-hosted web application
Speakr is an open-source, real-time text-to-speech (TTS) web application that allows users to convert written text into natural-sounding speech in just a few clicks. It provides a clean, user-friendly interface where users can input text, choose a voice style or language, and immediately hear the output, making it ideal for accessibility, content creation, and learning applications. Behind the scenes, Speakr leverages modern TTS engines and streaming audio technologies to deliver smooth and responsive speech generation without noticeable delay. The project is built with extensibility in mind, enabling developers to add custom voices, integrate additional languages, and tailor the backend for different hardware or cloud environments. It also supports saving generated audio as downloadable files so users can reuse the speech outputs in other projects, presentations, or media content. -
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Internet DJ Console
A feature packed DJ console and internet radio client for Linux users
Conceived as an internet radio Shoutcast/Icecast client and DJ console IDJC has two main media players, a background track player, effects buttons, crossfader, webm, aac, ogg, and mp3 streaming, stream automation timers, aux input, voice and VoIP integration. Media file formats include: mp3, ogg, flac, wma, wav, m4a, m3u, xspf, pls, and cue sheet support, IRC track and station announcements, uses jack audio connection kit to provide a flexible audio chain. This list of features is by no means complete. More info at the project homepage. -
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Podcastfy.ai
Transforming Multimodal Content into Captivating Multilingual Audio
Podcastfy is an open-source Python package that transforms multi-modal content (text, images) into engaging, multi-lingual audio conversations using GenAI. Input content includes websites, PDFs, youtube videos as well as images. Unlike UI-based tools focused primarily on note-taking or research synthesis (e.g. NotebookLM), Podcastfy focuses on the programmatic and bespoke generation of engaging, conversational transcripts and audio from a multitude of multi-modal sources enabling customization and scale. -
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SoulSync
Automated Music Discovery and Collection Manager
SoulSync is an intelligent music discovery and automation platform designed to bridge streaming services with self-hosted media libraries, enabling users to automatically grow and maintain curated music collections. The system continuously monitors selected artists and detects new releases, then generates personalized playlists such as Release Radar and Discovery Weekly using its built-in recommendation logic. It can automatically download missing tracks from multiple sources including Soulseek, YouTube, and Beatport, then verify file accuracy through AcoustID fingerprinting to ensure the correct audio was obtained. The platform also enriches tracks with lyrics, album art, and MusicBrainz metadata while organizing files into clean, customizable folder structures. Once processed, the library can be synchronized with media servers like Plex, Jellyfin, or Navidrome so collections stay up to date without manual intervention. -
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Curlew Multimedia Converter
Easy to use Multimedia Converter for Linux
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FeelUOwn
Trying to be a robust, user-friendly and hackable music player
FeelUOwn is a user-friendly, and hackable music player. -
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SpeechRecognition
Speech recognition module for Python
Library for performing speech recognition, with support for several engines and APIs, online and offline. Recognize speech input from the microphone, transcribe an audio file, save audio data to an audio file. Show extended recognition results, calibrate the recognizer energy threshold for ambient noise levels (see recognizer_instance.energy_threshold for details). Listening to a microphone in the background, various other useful recognizer features. The easiest way to install this is using pip install SpeechRecognition. The first software requirement is Python 2.6, 2.7, or Python 3.3+. This is required to use the library. PyAudio is required if and only if you want to use microphone input (Microphone). PyAudio version 0.2.11+ is required, as earlier versions have known memory management bugs when recording from microphones in certain situations. To hack on this library, first make sure you have all the requirements listed in the "Requirements" section.
