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Hacker News

I think we need more neurons in the human brain than parameters in this model for speech. I wonder what it says about the human brain vs LLM efficiency.

by da-x

this is extremely encouraging for individuals/small companies being able to train pareto-frontier TTS models (specifically compute required to run vs quality of model output)

by sudb

How heavy in inference on this? The model would easily fit on many microcontroller modules, I wonder if they could run it?

by K0balt

I keep seeing tts stories here. Is it just an interesting subset of the llm world, or is there a huge use case I’m somehow missing?

by billdueber

This is impressive. I wish there were a voice clone option.

by tmaly

The inflections are weird but this doesn't sound like a robot. Not bad!

by NetOpWibby

Couple highlights:

> Complete local text-to-waveform speech synthesis under 10M parameters.

In case, like me, you hoped "complete" voice might mean both stt and tts. Not to speak poorly of it, just clarifying.

> English only, with one fixed male voice. This is not zero-shot voice cloning.

(And then a bunch of statements on limitations that I read as 'quality can be spotty but if you play with it it should be fine') But like. In <10M params I'm not judging:)

by yjftsjthsd-h

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  • Hacker News
  • I think we need more neurons in the human brain than parameters in this model for speech. I wonder what it says about the human brain vs LLM efficiency.
    by da-x
  • this is extremely encouraging for individuals/small companies being able to train pareto-frontier TTS models (specifically compute required to run vs quality of model output)
    by sudb
  • How heavy in inference on this? The model would easily fit on many microcontroller modules, I wonder if they could run it?
  • I keep seeing tts stories here. Is it just an interesting subset of the llm world, or is there a huge use case I’m somehow missing?
  • This is impressive. I wish there were a voice clone option.
  • The inflections are weird but this doesn't sound like a robot. Not bad!
  • Couple highlights:

    > Complete local text-to-waveform speech synthesis under 10M parameters.

    In case, like me, you hoped "complete" voice might mean both stt and tts. Not to speak poorly of it, just clarifying.

    > English only, with one fixed male voice. This is not zero-shot voice cloning.

    (And then a bunch of statements on limitations that I read as 'quality can be spotty but if you play with it it should be fine') But like. In <10M params I'm not judging:)

  • This is amazing, the quality blow my mind for such small model! I just replaced my old onnx model with yours!

    here my implementation with speech dispatcher and server: https://github.com/skorotkiewicz/inflect-speechd

    thanks for shearing!