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
wavesurfer.js is a WebAudio playback library and interactive waveform visualizer that renders audio data onto an HTML5 canvas. It enables users to see and navigate sound files through a visual representation of audio peaks, allowing for direct seeking and playback control within a web browser. The project is distinguished by its flexible rendering model, which can use precomputed peak data to display waveforms without downloading or decoding the full audio file. It utilizes a plugin-based extension model to integrate advanced tools such as spectrograms, interactive audio timelines, and real-t
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
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