Text-to-speech: Difference between revisions
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** Google Colab - [https://colab.research.google.com/drive/1wXWuhnw2pdfFy1L-pUzHfopW10W2GiJS link]; model ID: <code>1-f-roUz_RQLvXm0bzpJYzO6_H_iDbFGJ</code>; HiFi-GAN (optional): <code>1-0Py7GnQlbZxW6onijXPf0BFK98GBzAB</code> |
** Google Colab - [https://colab.research.google.com/drive/1wXWuhnw2pdfFy1L-pUzHfopW10W2GiJS link]; model ID: <code>1-f-roUz_RQLvXm0bzpJYzO6_H_iDbFGJ</code>; HiFi-GAN (optional): <code>1-0Py7GnQlbZxW6onijXPf0BFK98GBzAB</code> |
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Revision as of 21:42, 7 May 2023
Here are some ways to turn toki pona text into audio automatically. Unfortunately, they can't be used in accessibility tools, as none of them are integrated with Microsoft Speech API or similar. (If you want to change that, try making a language file for espeak-ng.)
- word- and syllable-based by jan Sate (you can add your own voice, or use the sample one) - https://voice.sadale.net/
- word-based by jan Ke Tami (with voices by jan Lakuse, kala Asi, and jan Kokan Ato) - http://antetokipona.infinityfreeapp.com/kalama/
- IPA input for other languages' TTS voices - http://ipa-reader.xyz/
- neural model (Tacotron 2) by jan Kita:
- Uberduck - https://uberduck.ai/speak#mode=tts-basic&voice=hecko-tok
- Google Colab - link; model ID:
1-f-roUz_RQLvXm0bzpJYzO6_H_iDbFGJ; HiFi-GAN (optional):1-0Py7GnQlbZxW6onijXPf0BFK98GBzAB