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synesthesiam

HN member
Joined
Wed, Dec 19, 2012, 6:24 AM UTC
HN karma
351
Public activity
84 items

About synesthesiam

https://synesthesiam.com

Recent public activity

  1. comment
    Comment #48115743

    On my list to check out tomorrow :D

  2. comment
    Comment #40242782

    As the sibling comment mentions, the next version of Piper will no longer use espeak-ng to avoid potential GPL licensing issues.

  3. comment
    Comment #39744756

    Yes, it is possible by installing the Wyoming Satellite software on the Mark II. All the pieces are there, it's just missing some easy-to-install firmware. Source: I worked at Mycr…

  4. comment
    Comment #38983435

    Look into training a Dreambooth model. Huggingface has a guide for this.

  5. comment
    Comment #38364364

    You may want to try Piper for this case (RPi 4): https://github.com/rhasspy/piper

  6. comment
    Comment #35744100

    Thank you for the kind words, @follower! I'm the author of Piper; it is a successor to Larynx (originally named Larynx 2). Piper uses the same underlying model as Mimic 3, which I …

  7. comment
    Comment #35744002

    Neon AI and OVOS are taking over development of Mycroft Core and the Mark II: https://www.reddit.com/r/Mycroftai/comments/1212h87/neon_ai_...

  8. comment
    Comment #35736822

    Coauthor of the blog post here. You're right, I said it on the live stream we had today but forgot to mention it in the blog post: the i5 is from a Lenovo ThinkCentre M72e. They're…

  9. comment
    Comment #35736627

    I used to work for Mycroft, so I'm hoping to eventually create an image that's compatible with Home Assistant pipelines. For now, though, you may want to check out OVOS: https://op…

  10. comment
    Comment #35736428

    Home Assistant and Rhasspy 3 will be able to share voice services thanks to the shared Wyoming protocol. Rhasspy 3 will have more options, including lots of experimental services.

  11. comment
    Comment #35736411

    Mark I or Mark II?

  12. comment
    Comment #34655115

    I'm working right now on adding voice control to Home Assistant: https://www.home-assistant.io/blog/2022/12/20/year-of-voice/ Our goal is local voice control of your devices in you…

  13. comment
    Comment #33889161

    Have you tried whisper-cpp? https://github.com/ggerganov/whisper.cpp/tree/master/example...

  14. comment
    Comment #33720435

    This has always been a struggle. Rhasspy can gather lists of songs, artists, etc. but it will have to guess many of their pronunciations. And it seems artist/band names often purpo…

  15. comment
    Comment #33714981

    They share a lot of the same pieces, but voice2json is meant to work in Unix-style pipelines. Rhasspy has MQTT/HTTP/Websocket APIs instead.

  16. comment
    Comment #33713410

    Sorry about that. I'm going to be working more closely with native German speakers to get it right!

  17. comment
    Comment #33713093

    This was the reason I designed voice2json [1] :) [1] https://voice2json.org/

  18. comment
    Comment #33713089

    You're welcome! What sort of hardware did you settle on for the satellites?

  19. comment
    Comment #33708523

    Rhasspy author here, thanks for posting! Just wanted to mention that I've joined Nabu Casa (creators of Home Assistant) this month, so Rhasspy will be receiving updates again and b…

  20. comment
    Comment #33136827

    Is there a good guide for writing Rust-like C++, e.g. using stuff in the recent standards to avoid the many footguns?

  21. comment
    Comment #31931347

    The amount of data depends on if there's a voice for the language already. If so, about 2 hours of data is usually good enough. Otherwise, 10-20 hours usually does it.

  22. comment
    Comment #31928715

    The voices are under a CC-BY-SA license, so you can generate all the audio you want (offline), even for commercial usage.

  23. comment
    Comment #31928435

    Hi all, author here. Besides the tech of Mimic 3 itself, I'm interested in training voices in as many (human) languages as possible. All it takes is one person willing to donate a …

  24. comment
    Comment #31928379

    I believe I fixed the bean bug ;)

  25. comment
    Comment #31928369

    Python is only really the glue here. The models are trained in PyTorch and exported to Microsoft's Onnx runtime (C++). So the bulk of the inference CPU cycles are outside Python.