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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.
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.
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.
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.
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.
Auto-editor este un editor video automatizat pentru linia de comandă care utilizează FFmpeg pentru a elimina tăcerea și filmările inactive din fișierele video. Funcționează ca o suită de procesare cu generatoare de tăieturi specializate care identifică segmentele de tăiat pe baza pragurilor de volum, analizei mișcării și transcrierii speech-to-text. Instrumentul se distinge prin oferirea unui flux de lucru flexibil de post-producție, permițând utilizatorilor să exporte timeline-uri de tăiere automatizate ca fișiere XML sau JSON pentru utilizare în software-uri profesionale de editare non-liniară. Dincolo de simpla ștergere, poate efectua ajustări dinamice de redare, cum ar fi creșterea vitezei segmentelor silențioase în loc să le elimine complet. Proiectul acoperă o gamă largă de capabilități de manipulare media, inclusiv normalizarea audio, reducerea sibilanței și efecte vizuale precum compoziția de straturi, suprapuneri grafice și transformări de scalare. De asemenea, suportă ingestia de media la distanță prin URL-uri și oferă utilitare pentru a previzualiza statisticile editării fără a randa videoclipul final.
Adjusts audio volume using peak amplitude scaling or perceived loudness analysis to ensure consistent levels.
AzuraCast este o suită de gestionare a radioului web auto-găzduită, concepută pentru difuzarea radioului pe internet. Funcționează ca un manager de redare automatizat și sistem de difuzare, integrând un orchestrator audio pentru transcodare și cross-fading cu un server de streaming pentru a distribui audio prin puncte de montare. Platforma permite gestionarea stațiilor multi-tenant, permițând unei singure instalări să găzduiască mai multe entități radio independente. Se distinge prin combinarea unui sistem de difuzare Auto-DJ cu capacitatea de a gestiona conturi de DJ live și de a coordona difuzările în timp real. Sistemul acoperă o gamă largă de capabilități, inclusiv programarea radio automată, gestionarea bibliotecii media și a playlist-urilor și generarea de fluxuri de podcast-uri. Oferă instrumente pentru analiza audienței radio, implicarea ascultătorilor prin cereri de melodii și distribuirea semnalelor prin servere de releu pentru a crește capacitatea. Aplicația este livrată prin implementare bazată pe containere pentru o instalare consistentă pe medii cloud VPS, Docker și NAS.
Adjusts peak amplitude across tracks to ensure a consistent listening experience.
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.
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.
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.