Audio Loudness Normalization Tools

This utility is a command-line tool designed to automate volume leveling across audio and video collections. By leveraging external media processing libraries, it adjusts files to a consistent target loudness level, ensuring uniform playback without the need for manual volume adjustments. The tool distinguishes itself through a two-pass analysis workflow that measures loudness statistics before applying precise gain adjustments. It maintains the relative loudness relationships between tracks when processing collections, ensuring that the dynamic balance of a group of files remains intact. Use

cmus is a terminal-based audio player that runs entirely within a terminal window, using the ncurses library to render its interface without any graphical toolkit. It is designed to play local music files and internet radio streams, with support for CUE sheet metadata that splits single audio files into logical tracks with correct timing, and gapless playback that eliminates audible pauses between consecutive tracks. The player distinguishes itself through a Vi-inspired incremental search interface that locates tracks and commands in real time as you type, and a tab-based workspace model that

mpv.net is a Windows graphical user interface for the mpv media player. It serves as a customizable multimedia frontend and hardware-accelerated video player that renders high-fidelity video and audio content. The project distinguishes itself by providing a searchable graphical interface for managing player settings and configuration files, alongside a themeable visual style. It supports extensibility through a scripting engine and allows for external playback management via JSON-based communication and command line interfaces. The application covers a broad range of media playback capabilit

This project is a multi-room music server and library aggregator that centralizes local audio files and various streaming services into a single unified database. It functions as a media controller for DLNA and UPnP devices, enabling the management of music, podcasts, and audiobooks across networked speakers. The system is distinguished by its ability to synchronize audio playback across multiple speakers and brands simultaneously. It features a digital signal processor for loudness normalization and frequency correction, alongside an acoustic fingerprinting engine used for metadata enrichmen

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