Projects sharing features with Matchering

Aubio is an audio analysis and digital signal processing library designed for music information retrieval. It provides a suite of tools for extracting musical features, estimating fundamental frequencies, and tracking rhythmic pulses in audio streams. The library specializes in the detection of pitch and beat, enabling the extraction of musical notes and the estimation of overall tempo. It also includes capabilities for automatic onset detection to identify the start of sonic events and the separation of audio signals into percussive transients and steady-state tonal components. The system c

Python library for reading audio file metadata

Beets is a command-line music library manager that automates the organization, standardization, and maintenance of digital audio collections. It functions as a relational database-backed system that identifies audio content through acoustic fingerprinting and retrieves accurate metadata from online databases to ensure consistent tagging and directory structures. The project distinguishes itself through an event-driven pipeline architecture and a modular plugin system, which allow users to intercept and customize library processing workflows. This extensibility enables the integration of exter

MeTube is a self-hosted, containerized media downloader that provides a web-based interface for archiving online video content. It functions as a manager for the command-line tool yt-dlp, automating the retrieval, organization, and post-processing of media files directly to your local hardware. The application distinguishes itself by supporting authenticated downloads, allowing users to inject browser-derived session cookies to access private or restricted content. It also features advanced post-processing capabilities, including the automatic embedding of metadata, chapter markers, and subti

Leon is a framework for building personal AI assistants that integrates large language models with local tool execution and persistent memory. It functions as an agentic workflow orchestrator and modular skill engine, enabling the creation of autonomous assistants capable of planning and executing multi-step tasks. The system features a retrieval-augmented generation memory architecture that indexes conversation history and user facts for context-aware grounding. It utilizes a modular skill system to interact with external binaries and APIs, supported by a loop that handles tool calling, sche

EasyEffects is a real-time audio processor and system-wide effects manager designed for PipeWire audio streams. It functions as a comprehensive suite for applying filters, equalizers, and limiters to both input and output audio across the entire system. The project distinguishes itself through its use of deep learning for neural network noise suppression and voice isolation, as well as its ability to simulate physical acoustic environments using impulse-response convolution. It includes a sophisticated preset management system that allows users to associate specific audio configurations with

Metrolist is a music streaming application and library manager designed for high-fidelity audio and video playback. It functions as a collaborative audio player that enables real-time playback synchronization across multiple users through a request and approval system. The platform features an AI-driven lyrics translator that fetches time-synced lyrics and provides automated real-time translations. It also includes specialized integrations for Discord Rich Presence and a dedicated media client interface for Android Auto. The system manages music libraries with remote cloud storage synchroniz

AudioKit is an audio framework for iOS, macOS, and tvOS that provides tools for digital audio synthesis, signal processing, and audio analysis. It functions as a synthesis engine for generating audio waveforms and textures, a processing library for modifying tonal characteristics, and a toolkit for extracting frequency and amplitude data from sonic signals. The framework utilizes a modular node architecture and graph-based signal routing to connect audio generators, processors, and outputs. It wraps low-level audio primitives in high-level classes to facilitate sound generation and modificati

FFmpeg is a cross-platform multimedia framework designed for the recording, conversion, and streaming of audio and video content. It functions as a comprehensive toolkit that provides both a command-line utility for direct media manipulation and a collection of low-level libraries for integration into custom applications. At its core, the project utilizes a packet-based stream engine and a format-agnostic abstraction layer to handle diverse media standards, containers, and network protocols. The framework distinguishes itself through a modular, graph-based filter execution model that allows f

Spleeter is an AI audio source separation library and deep learning toolkit designed to split mixed music files into individual audio stems, such as vocals and drums. It provides a suite of pretrained models for isolating different instruments and voices from a recording. The toolkit includes capabilities for training and evaluating custom audio separation models using labeled datasets and configuration files. It also features utilities for measuring model performance by comparing separation outputs against reference datasets. The system manages audio processing through spectral representati

Dejavu is a Python audio fingerprinting library and recognition engine. It functions as a digital audio signature tool used to analyze sound waves and create unique identifiers for the purposes of audio search and retrieval. The project enables automatic music identification by matching live audio feeds or recorded clips against a database of fingerprints. It covers audio content matching and digital audio archiving to identify original source recordings from a stored collection. The system incorporates capabilities for generating audio fingerprints, identifying audio tracks, and recognizing

Magenta is a comprehensive toolkit for training, synthesizing, and performing music through neural models and hardware-integrated engines. It functions as a machine learning framework that enables the generation, manipulation, and real-time performance of audio, providing the structural foundations for musical intelligence through hierarchical sequence modeling and symbolic processing. The project distinguishes itself by enabling real-time, low-latency neural audio synthesis that can be integrated directly into professional digital audio workstations. It supports interactive musical jamming a

This project is a framework for developing multimodal AI agents that function as programmable participants in real-time communication rooms. It enables the construction of agents that can see, hear, and speak by integrating speech-to-text, large language models, and text-to-speech pipelines to facilitate low-latency, natural conversations. The system is distinguished by its advanced orchestration of real-time media and conversational flow, including support for full-duplex speech, preemptive response generation, and sophisticated interruption management. It further differentiates itself throu

LMMS is a digital audio workstation and MIDI sequencer designed for composing, arranging, and mixing music. It functions as a comprehensive production environment that integrates a MIDI sequencer, a sample-based synthesizer, and an audio mixing console. The project distinguishes itself through a versatile synthesis engine that includes additive synthesis, wavetable generation, and emulations of vintage hardware such as NES audio and FM chips. It also serves as a VST plugin host, allowing for the integration of third-party virtual instruments and audio effects via a standardized interface. Be

Ultimate Vocal Remover is a desktop application designed for AI-driven audio source separation. It utilizes deep learning models to isolate vocals, drums, and other individual instruments from mixed audio files, providing a utility for professional production and creative editing workflows. The software distinguishes itself by leveraging GPU-accelerated tensor computation to perform complex signal processing tasks, significantly reducing the time required for high-fidelity audio extraction. It incorporates a modular plugin architecture that integrates external utilities to support a wide rang

Recorder is a JavaScript library for capturing audio from microphones and encoding the resulting data into multiple formats, including MP3, WAV, and WebM. It provides a unified interface for cross-platform audio recording across web browsers and mobile applications. The library functions as an audio signal processing tool and waveform visualizer, offering real-time visual feedback through frequency histograms and waveforms. It includes specialized capabilities for encoding and decoding dual-tone multi-frequency telephone keypad tones. The project covers a broad range of audio manipulation ca

This project is an educational suite and technical guide designed for mastering video codecs and signal processing. It provides a structured curriculum through an engineering course, interactive labs, and tutorials focused on the fundamental principles of video compression and digital signal processing. The resource includes a technical guide for analyzing specific codecs like AV1, VP9, and H.265. It distinguishes itself by providing a containerized media lab, which ensures a consistent development environment for experimenting with video technology tools and notebooks. The project covers a

NAudio is a .NET audio library that provides playback, recording, format conversion, and signal processing capabilities for Windows applications. It serves as an audio format converter between common formats like WAV, MP3, AAC, and AIFF using ACM or Media Foundation codecs, and functions as an audio playback and recording API through Windows audio APIs including WaveOut, DirectSound, ASIO, and WASAPI. The library includes an audio stream processor that can mix, trim, loop, fade, resample, and adjust pitch or channel count of audio streams with a floating-point engine. It also provides an audi

BirdNET analyzer for scientific audio data processing.

Learn how identifiable you are on the Internet

Eonza is an automation tool. It allows you to create scripts without programming.

Python web ui to download videos from YouTube and add metadata on top of it

Web application for automatically downloading TV & Movies (w/ VPN)

Huginn is a self-hosted automation platform that functions as an event-driven workflow engine. It allows users to build autonomous agents that monitor web services, scrape data, and execute complex tasks by propagating events through a directed graph. By running on your own server infrastructure, it provides a private environment for orchestrating workflows without relying on third-party automation services. The platform distinguishes itself through a modular, plugin-based architecture that enables the development of custom agents to handle specific data processing needs. Each agent maintains

Activepieces is an open-source, self-hosted workflow automation platform designed to connect third-party applications through modular triggers and actions. It provides a low-code integration framework that allows users to build, manage, and execute complex business logic sequences within isolated, sandboxed environments. The platform distinguishes itself through its focus on embeddability and enterprise-grade security. It features an embedded automation builder that can be integrated into external applications via iframes, supported by comprehensive identity and access management tools such a

Automatisch is an open-source, self-hosted automation platform designed to orchestrate multi-stage workflows across various third-party web services. It functions as a no-code integration engine that allows users to connect disparate applications, enabling the automated movement of data and the execution of tasks without manual intervention. By running the platform on private infrastructure, users maintain full control over their data and ensure compliance with internal security policies. The platform distinguishes itself through a focus on secure, local credential management and flexible int