Rust powered waveform source separation
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Updated
Mar 10, 2026 - Rust
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 🎶
🎶 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.
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)
Minimal app to generate individual mp3 audio tracks split from Youtube Jukebox.
CLI tool to download YouTube audio and split it into tracks based on timestamps
🎙️ 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.
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.
🎵 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.
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.
Split .m4a audio files into parts with default 15 minutes for each part
EN: A powerful, zero-dependency, single-file HTML CUE sheet editor. RU: Мощный CUE-редактор в одном HTML-файле.
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