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9 repositorios

Awesome GitHub RepositoriesLevel Normalization

Processes for adjusting peak amplitude to ensure consistent volume across audio clips.

Distinct from Audio Processing: Specifically addresses amplitude normalization rather than general audio playback or recording.

Explore 9 awesome GitHub repositories matching graphics & multimedia · Level Normalization. Refine with filters or upvote what's useful.

Awesome Level Normalization GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • easychen/lean-side-bussinessAvatar de easychen

    easychen/lean-side-bussiness

    11,984Ver en GitHub↗

    This project is a comprehensive software entrepreneurship curriculum and solopreneurship business playbook designed for developers. It provides a strategic framework for building, validating, and monetizing side businesses using lean startup methodology and a systematic product development approach. The project distinguishes itself by offering specific guides for digital monetization and career anti-fragility, helping software engineers transition from employment to self-employment. It focuses on turning technical skills into scalable digital assets, paid communities, and independent software

    Adjusts peak amplitude to a consistent target level for uniform volume across clips.

    Ver en GitHub↗11,984
  • jpochyla/psstAvatar de jpochyla

    jpochyla/psst

    9,343Ver en GitHub↗

    Psst is a cross-platform Spotify music client and library manager. It functions as a desktop application for streaming music and podcasts, providing a native playback interface and tools for organizing saved albums and playlists. The project is distinguished by a client-server architecture that separates the core audio playback engine from the user interface. This allows for dual-interface state sharing, where a graphical user interface and a dedicated command-line interface can simultaneously control the same playback session. The application covers audio streaming with loudness normalizati

    Processes incoming audio streams through a normalization filter to maintain consistent volume across tracks.

    Rust
    Ver en GitHub↗9,343
  • cmus/cmusAvatar de cmus

    cmus/cmus

    6,048Ver en GitHub↗

    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

    Adjusts playback volume per track or album based on stored ReplayGain loudness metadata.

    C
    Ver en GitHub↗6,048
  • namidaco/namidaAvatar de namidaco

    namidaco/namida

    5,002Ver en GitHub↗

    Namida is a multi-format media player, music library manager, and network media streamer. It provides a unified interface for playing local and remote audio and video files, serving as both a specialized client for YouTube content and a synchronized lyrics player. The project distinguishes itself through a dynamic theme engine that generates artwork-based visuals and a comprehensive set of audio processing tools, including gain normalization, equalizers, and crossfading. It also features a specialized system for retrieving and displaying time-synced lyrics in formats such as LRC and TTML. Br

    Adjusts peak amplitude and gain to ensure consistent volume levels across different audio tracks.

    Dartandroidandroid-appandroid-music-player
    Ver en GitHub↗5,002
  • wyattblue/auto-editorAvatar de WyattBlue

    WyattBlue/auto-editor

    4,460Ver en GitHub↗

    Auto-editor es un editor de video automatizado de línea de comandos que utiliza FFmpeg para eliminar silencios y metraje inactivo de archivos de video. Funciona como una suite de procesamiento con generadores de cortes especializados que identifican segmentos para recortar basados en umbrales de volumen, análisis de movimiento y transcripción de voz a texto. La herramienta se distingue por ofrecer un flujo de trabajo de postproducción flexible, permitiendo a los usuarios exportar líneas de tiempo de cortes automatizados como archivos XML o JSON para su uso en software de edición no lineal profesional. Más allá de la simple eliminación, puede realizar ajustes de reproducción dinámicos, como aumentar la velocidad de los segmentos silenciosos en lugar de eliminarlos por completo. El proyecto cubre un amplio rango de capacidades de manipulación de medios, incluyendo normalización de audio, reducción de sibilancia y efectos visuales como composición de capas, superposiciones gráficas y transformaciones de escala. También soporta la ingesta de medios remotos mediante URLs y proporciona utilidades para previsualizar estadísticas de edición sin renderizar el video final.

    Adjusts audio volume using peak amplitude scaling or perceived loudness analysis to ensure consistent levels.

    Nimaudioaudio-editingaudio-processing
    Ver en GitHub↗4,460
  • azuracast/azuracastAvatar de AzuraCast

    AzuraCast/AzuraCast

    3,907Ver en GitHub↗

    AzuraCast is a self-hosted web radio management suite and dashboard designed for internet radio broadcasting. It functions as an automated playback manager and broadcasting system, integrating an audio orchestrator for transcoding and cross-fading with a streaming server to distribute audio via mount points. The platform enables multi-tenant station management, allowing a single installation to host multiple independent radio entities. It distinguishes itself by combining an Auto-DJ broadcast system with the ability to manage live DJ accounts and coordinate real-time broadcasts. The system c

    Adjusts peak amplitude across tracks to ensure a consistent listening experience.

    PHPicecastliquidsoapradio
    Ver en GitHub↗3,907
  • collabora/whisperliveAvatar de collabora

    collabora/WhisperLive

    3,819Ver en GitHub↗

    WhisperLive is a real-time speech-to-text server that converts live audio streams into text using Whisper models. It functions as a backend service that receives microphone input via WebSockets and provides incremental transcriptions with word-level timestamps. The system utilizes a GPU-accelerated inference engine and a keyword-boosted transcription API to improve the recognition accuracy of domain-specific jargon, acronyms, and product names. It also includes a speaker diarization tool that clusters audio embeddings to identify and label different participants within a recording. Additiona

    Normalizes raw int16 audio input to ensure consistent sound levels across different hardware sources.

    Pythondictationobsopenai
    Ver en GitHub↗3,819
  • oop7/ytsageAvatar de oop7

    oop7/YTSage

    3,713Ver en GitHub↗

    YTSage is a desktop application and graphical user interface for downloading video and audio from YouTube and other platforms. Built using the PySide6 framework and powered by the yt-dlp engine, it provides a visual interface for media extraction and file organization. The application includes a dedicated media filter that removes sponsored segments from downloaded videos using community-sourced timestamp data. It also features a metadata extractor to fetch and save subtitles, thumbnails, descriptions, and chapter markers. The tool supports batch playlist processing, audio format conversion

    Adjusts peak amplitude to ensure consistent volume across downloaded audio clips.

    Pythonpyside6pythonyoutube-dl
    Ver en GitHub↗3,713
  • musicplayerdaemon/mpdAvatar de MusicPlayerDaemon

    MusicPlayerDaemon/MPD

    2,607Ver en GitHub↗

    MPD is a headless music server daemon that indexes audio libraries and streams music to local or remote outputs. It functions as a music library manager and network audio streamer, providing a remote audio control protocol that allows external clients to manage playback, playlists, and database queries. The system acts as a multiroom audio coordinator, synchronizing audio distribution across multiple networked clients and hardware devices. It supports a variety of remote management capabilities, including a dedicated control API and the ability to broadcast audio streams over network protocol

    Adjusts audio levels using normalization and tags to ensure consistent loudness across different tracks.

    C++audioaudio-playermusic
    Ver en GitHub↗2,607
  1. Home
  2. Graphics & Multimedia
  3. Audio & Music
  4. Audio Processing
  5. Level Normalization

Explorar subetiquetas

  • ReplayGain NormalizationsAdjusting playback volume per track or album based on precomputed ReplayGain loudness metadata stored in audio tags. **Distinct from Level Normalization:** Distinct from Level Normalization: uses precomputed ReplayGain metadata rather than real-time peak amplitude adjustment.