Open Source AI for the Audio World

audio .org

We're building open source AI tools that transform how audio professionals work — from studios and broadcast to medicine and education. Hear what's possible.

No spam. We'll ping you when we launch.  ✦

What We're Building
🎙️
Voice & Speech AI
Real-time transcription, speaker diarization, accent adaptation, and vocal fingerprinting — built open, deployable anywhere.
NLP · ASR · TTS
🎛️
Intelligent Mixing
AI-assisted mastering, stem separation, noise suppression, and spectral repair. Studio-grade results, zero proprietary lock-in.
DSP · ML · DAW
🧠
Generative Audio
Prompt-driven sound design, foley generation, adaptive music scoring, and spatial audio authoring for the next era of media.
Generative · 3D · XR
📡
Broadcast & Live
Low-latency AI processing pipelines for live broadcast, podcast production, and real-time voice cloning with ethical safeguards.
RT · Streaming · API
🏥
Medical Acoustics
Detecting vocal biomarkers, hearing aid personalization, and diagnostic audio analysis for telehealth platforms.
Health · Diagnosis
🎓
Education & Research
Pronunciation training, music education AI, acoustic environment analysis, and open datasets for language learners worldwide.
EdTech · L2 · Data
Industries We're Serving
# audio.org open source toolkit
pip install audioorg-ai
 
from audioorg import StemSplit
 
model = StemSplit.load("vocals-v2")
stems = model.process("track.wav")
 
✓ vocals.wav — 192kHz stereo
✓ drums.wav — 192kHz stereo
✓ bass.wav — 192kHz stereo
✓ other.wav — 192kHz stereo
 
>

Built open,
for everyone.

Every model, every API, every dataset — released under permissive licenses. Because the future of audio AI belongs to creators, engineers, and researchers, not closed platforms.

⭐ MIT License
🐙 GitHub First
🤗 Hugging Face
🔬 Research Ready
🌍 Community Driven
📦 pip / npm / brew