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LinnetTTS is described as an on-device text-to-speech model with 41 million parameters, streaming output and real-time performance on a CPU. That makes it a useful small-model signal for people interested in running speech generation without relying on a cloud service.
Why it mattersThe details come from a Hugging Face blog post comparing small CPU text-to-speech models. The supplied description gives no benchmark figures or hardware details, so “real time” is a claim to test against the device you actually own, not a universal guarantee.
Discuss: For on-device speech tools, would you prioritise real-time performance on modest hardware or more natural-sounding speech, even if it needs more compute?
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