A

audio-processing

Self-hosted speech server in one Docker image. OpenAI-compatible /v1/audio/transcriptions and /v1/audio/speech across 12 ASR models (Whisper, Parakeet, Canary, Sherpa-ONNX, Vosk) and 3 TTS engines (Kokoro, Qwen3-TTS voice cloning, Chatterbox Turbo). Live WebSocket ASR, file staging, MCP built in. CPU + CUDA images.

Containerized media processing tools over SSH. Drop files in, run ffmpeg/sox/imagemagick over SSH, get your shit out. No shell access, no bullshit - just a locked-down Python wrapper that only lets you run what you're supposed to run.

Audiovista is an open-source cinematic AI engine that synchronizes audio and video with professional precision, including dialogue, sound effects, ambient audio, and adaptive music. Physics-aware, predictive, and interactive, it supports real-time previews, multi-track editing, VR/AR output, and cross-media export, empowering creators to produce immersive, AI-assisted cinematic experiences. https://roxanneardary.com/audiovista/

https://federicoboccaccio.wordpress.com/correggi-sfasamento-audio-nei-video/

Convert WAV audio files to a compressed audio format using the Web Audio API and MediaRecorder, enti

Convert MP3 audio files to uncompressed WAV format using the Web Audio API, entirely in the browser.

Trim audio files to a precise time range with waveform visualization, entirely in the browser.

[2025] Raspberry Pi control system for interactive art installations. Orchestrates LED lighting, FM radio, live audio mixing, and environmental monitoring through unified Flask interface with 24/7 exhibition reliability and automatic service management.