GithubHelp home page GithubHelp logo

Comments (6)

philipp2310 avatar philipp2310 commented on May 22, 2024

I probably will implement something like that in python for Project Alice as running without manual setup is one of the main goals for me (as soon as Coqui runs on raspberry again, as this is currently my only test setup) - I was able to program C quite some time ago in university, so I could get back to that as well - with some guidance maybe, because I never had the connection of python and C ;)
The "only" thing I care is a simple "out of the box" experience, if Coqui can use the "on the fly" language installation or if it is in Alice isn't a big factor for me, but a central implementation might help more people (hey there rhasspy and co ;)) and should be preferable! Therefore my offer to get back into C and get it running here!

Is there some more of a concept by you how the models should be shared? (german general ML is currently on google drive, your english/mandarin is on the github release etc.)

Best Regards and thanks again for your awesome software!

from stt.

reuben avatar reuben commented on May 22, 2024

@philipp2310 We're currently working on automatic installations integrated with the Coqui Model Zoo. All models there are released under a consistent format with proper attribution and metadata, and we think that's how models should be shared and installed. For now we're not integrating it directly into libstt.so, to ease prototyping and figuring out the details, but that could change in the future. We should have something to share pretty soon :)

from stt.

philipp2310 avatar philipp2310 commented on May 22, 2024

Sounds good!
Was it an active decision to not include the generic .scorer language model?
While it is the biggest file, on raspberries an on device trained .scorer isn't feasible I think.
And a custom pre-trained one isn't helpful in my usecase, as the user decides what skills he wants to install and therefor what text can be captured -> I would land at a generic one anyways!
(An idea I just had, but didn't have the time to look into it yet: Is it possible to have small .scorer files for lets say 5 types of sentences and combine them to a bigger file with some reduced computation time? I'll investigate later and learn a bit about your scorer structures :) )

from stt.

reuben avatar reuben commented on May 22, 2024

We should have scorers available on the model zoo soon. That's a pre-requisite for releasing the automatic installation :)

from stt.

reuben avatar reuben commented on May 22, 2024

(An idea I just had, but didn't have the time to look into it yet: Is it possible to have small .scorer files for lets say 5 types of sentences and combine them to a bigger file with some reduced computation time? I'll investigate later and learn a bit about your scorer structures :) )

Not really, you should simply combine the 5 corpora and create a single scorer.

from stt.

reuben avatar reuben commented on May 22, 2024

This has been implemented in STT model manager for a while now.

from stt.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.