Rust powered waveform source separation
Quran AI transcriping with accurate Ayah, Surah Matching with audio timestamps
PyAnnote Voice Activity Detection (ONNX version)
Simple package to split a merged audio track to parts by silence analysis 🎶
Play audio through two headphones at the same time on Windows. Free app for dual audio output. Watch movies together with separate headphones. No drivers needed.
🎶 A simple yet powerful tool to split audio files using FFmpeg. CLI-based audio segmentation made easy.
Automatically split audio files when specific words are detected using Whisper/Deepgram STT. Perfect for breaking down long recordings into meaningful segments.
A real-time multi-device audio router for Windows that simultaneously broadcasts system sound to multiple headsets or speakers via C# WPF and NAudio.
split large audio files into chunks using a minimal Web UI
Split audio files into segments of 5 sec using Python. Made with the intention of making training datasets for RVC (Retrieval-based Voice Conversion)
CLI tool to download YouTube audio and split it into tracks based on timestamps
Minimal app to generate individual mp3 audio tracks split from Youtube Jukebox.
🎙️ AI-powered Voice Activity Detection — Automatically detect and split speech segments from long audio files using Silero VAD. Beautiful Liquid Glass UI with drag-and-drop upload, visual timeline, and one-click ZIP export. No command line needed.
🎵 FastAPI microservice for splitting audio files into chunks via FFmpeg. Supports MP3, WAV, FLAC, OGG, M4A, AAC, WMA, OPUS. Docker & Kubernetes (Helm) ready. Integrates with n8n workflows.
Split audiobooks into chapters using FFmpeg + Vosk + Whisper. Faster than Whisper-only, more accurate than silence detection.
A powerful desktop application for separating audio tracks using AI-powered Demucs technology.
Duplicate Windows audio to a secondary device with near-zero latency. No drivers needed.
Extractor of verses from lectures
Audio Splitter – Fast, professional desktop tool to split audio files into smaller clips. Supports MP3, WAV, FLAC, OGG with real-time progress, preset durations, and safe stop functionality. Built with Python and ttkbootstrap for Windows.
Add a description, image, and links to the audio-splitter topic page so that developers can more easily learn about it.
To associate your repository with the audio-splitter topic, visit your repo's landing page and select "manage topics."