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This repository has been archived by the owner on Oct 9, 2023. It is now read-only.

KOLANICH-tools/iTTS.py

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iTTS.py Unlicensed work

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We have moved to https://codeberg.org/KOLANICH-tools/iTTS.py , grab new versions there.

Under the disguise of "better security" Micro$oft-owned GitHub has discriminated users of 1FA passwords while having commercial interest in success of FIDO 1FA specifications and Windows Hello implementation which it promotes as a replacement for passwords. It will result in dire consequencies and is competely inacceptable, read why.

If you don't want to participate in harming yourself, it is recommended to follow the lead and migrate somewhere away of GitHub and Micro$oft. Here is the list of alternatives and rationales to do it. If they delete the discussion, there are certain well-known places where you can get a copy of it. Read why you should also leave GitHub.


Just a kernel for Jupyter notebook speaking text from cells.

The work is based on https://github.com/takluyver/bash_kernel, which is licensed under BSD 3-clause license.

Limitations and ToDos

  • Currently it speaks only using system loudspeakers because speech-dispatcher (and its protocol) lacks the functionality to get the voice stream instead of speaking it.
  • Currently lacks an abstraction layer to support different APIs, such as SAPI5 uniformly.
  • Currently it lacks automatic language detection. langdetect is shit (in the sense its quality is too poor). nltk can be used for that once the issue with insecure way of providing pretrained models needed for it is solved.
  • Currently it lacks autocompletion of the arguments of the magics.
  • Currently it lacks hints on the magics.
  • Currently it lacks autocompletion of words for usual text based on beginning of the sentence.
    • Markov models can be used
    • or maybe RNNs

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Jupyter kernel speaking text via speech-dispatcher !!! Migrated to Codeberg 🏔️ !!!

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