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Audar-ASR-V1
Open-weight Arabic-first speech recognition models
8 followers
Open-weight Arabic-first speech recognition models
8 followers
Most speech recognition models are trained on clean English and fall apart on Arabic — especially dialects and the code-switching people actually use every day. Audar is built Arabic-first: open-weight ASR models covering MSA, dialectal Arabic, and code-switching, trained on real-world audio instead of studio recordings. Inspect the weights, fine-tune on your own data, and deploy without lock-in. Built for developers and researchers building for the 400M+ people who speak Arabic.
Real useful work, finally something that doesn't choke on Moroccan darija mixed with French. One thing that would help a lot for our team: ship a small streaming WebSocket demo with partial transcripts and a confidence score, so we can see latency on noisy mobile audio before committing to a fine-tune.
@kaanhsdo Thank you — comments like this are exactly why we built Audar！
We really wanted the messy real-world cases like darija mixed with French to just work, so it's wonderful to hear it's holding up for you！
That's a great suggestion, and honestly better answered by our team than by me — let me get it in front of them.
If you drop us a line at contact@audarai.com, we'd love to dig into what you need.
Adding a built-in streaming inference mode with WebSocket support would be a nice next step so we can pipe microphone audio in directly without managing chunking on our end.
@okanozyasa20059 Thank you for the kind words and support! 🙏 You'll be happy to hear this is already live — you can experience our WebSocket streaming inference mode directly on our website. Give it a try and let us know how it holds up on your audio!