Awesome GitHub RepositoriesAudio Device Enumerators

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

Opentui is a terminal user interface framework for building interactive command line applications. It provides a component-based system featuring a flexbox layout engine, a virtual node component tree, and a low-level 2D cell array renderer. The project is distinguished by a sophisticated keyboard binding engine that maps complex multi-stroke sequences and chords to named commands using prioritized, reactive layers. It also implements a plugin architecture that allows external modules to inject custom UI components into designated layout slots and extend input logic at runtime. Its capabilit

EarTrumpet is a desktop utility for the Windows operating system that provides centralized control over system-wide audio. It functions as a taskbar-based interface for managing playback devices, monitoring active audio streams, and adjusting volume levels across the desktop environment. The application enables granular control by allowing users to adjust volume levels for individual running processes independently. It also supports multi-device audio routing, which permits the assignment of specific hardware output destinations to individual applications. These capabilities are facilitated t

NoiseTorch is a cross-platform audio processor and real-time noise filter designed to suppress ambient sound from audio streams. It functions as a virtual microphone noise suppressor and routing tool, capturing system audio sources and directing filtered signals into virtual input or output devices. The application uses a recurrent neural network to distinguish between human speech and ambient noise. It provides a virtual denoising microphone that removes background noise from a selected input, alongside tools for filtering audio output streams. The system includes capabilities for audio dev

This repository is a comprehensive collection of reference implementations and sample libraries for the Universal Windows Platform. It provides practical examples of how to use Windows Runtime APIs to build cross-device applications, including detailed guidance on XAML-based declarative user interfaces and DirectX-integrated rendering. The project distinguishes itself by providing a wide array of hardware integration suites, covering low-level communication with USB, Serial, I2C, SPI, and GPIO peripherals. It includes specialized implementations for mixed reality holographic rendering, advanc

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

PlaidML is a deep learning compiler framework and cross-platform runtime designed to execute machine learning models on a wide variety of hardware targets. It functions as a hardware agnostic tensor engine that translates tensor models into executable code, allowing deep learning networks to run across different compute devices without requiring specific driver dependencies. The system enables the execution of models on custom or limited hardware by using JSON specifications to define device hardware. It employs a domain-specific language to describe tensor computations and provides a middle

Gqrx is a software defined radio application used to capture and demodulate radio signals across various frequencies to produce audio and visual data. It translates raw radio waves into audible sound using standard modes including AM, FM, SSB, and CW. The project provides tools for radio signal analysis through real-time frequency plots and waterfall displays. It enables the capture of raw baseband data and received audio for offline playback and technical analysis. The software includes capabilities for tuning radio frequencies, filtering signal noise via band-pass filters and gain control,

cpal is a low-level Rust audio hardware abstraction layer and cross-platform API. It serves as a unified interface for managing audio input and output streams across Windows, macOS, and Linux hardware, acting as a device driver wrapper to discover audio hosts and configure hardware devices. The project functions as a real-time audio streamer, utilizing a high-priority callback system to stream audio samples to hardware devices with minimal latency. The library covers audio hardware integration, including the discovery and configuration of sample rates and channel counts. It supports audio in