Aria TTS
The facts below are what the maker publishes about Aria TTS, checked and dated. Our editors have not written about it yet.
The facts
Each one read from Aria TTS's own pages, with the date it was checked.
What it does
- API access
- Yeschecked 20 Sep 2026
- Audio output
- Aria produces 32 kHz audio using a three-codebook RVQ codec.checked 13 Oct 2026
- Availability
- The page says the project is not quite ready to open its doors yet.checked 13 Oct 2026
- Commercial use
- Yeschecked 20 Sep 2026
- CPU performance
- The page reports 2.7–3.2× realtime CPU inference on an m6a.large instance.checked 13 Oct 2026
- Deployment
- The listed deployment options are CPU using ONNX, iOS using ONNX, and GPU.checked 13 Oct 2026
- Expressive speech
- Inline tags such as [laughs], [sighs], and [coughs] add paralinguistic expressions.checked 13 Oct 2026
- Language
- The listed language is English.checked 13 Oct 2026
- License
- The project is MIT licensed, and the page says weights are included with no usage caps or phone-home behavior.checked 13 Oct 2026
- Model size
- The model has approximately 112 million parameters.checked 13 Oct 2026
- Paralinguistic tags
- Text can include inline tags such as [laughs], [sighs], and [coughs].checked 12 Oct 2026
- Product
- Aria is an open-source text-to-speech model licensed under MIT.checked 12 Oct 2026
- Purpose
- Aria is an open-source text-to-speech system.checked 13 Oct 2026
- Streaming
- It streams audio with word-level timestamps and reports first-chunk latency below 150 ms with a KV-cached reference.checked 13 Oct 2026
- Usage limits
- The site says there are no usage caps or phone-home behavior.checked 12 Oct 2026
- Voice cloning
- It supports zero-shot voice cloning from reference audio without requiring a transcript.checked 13 Oct 2026
Money
- Infrastructure cost
- The page lists $42/mo as the total infrastructure cost for unlimited use on a reserved m6a.large.checked 13 Oct 2026
Where it runs
- iOS
- Aria runs on iOS using ONNX for on-device inference.checked 13 Oct 2026
- On-device privacy
- The site says iOS on-device inference is private and requires no round trip to a server.checked 12 Oct 2026
- Platforms
- web,ioschecked 20 Sep 2026
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