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We've built our own text-to-speech system with an initial English language model we trained ourselves with fully open source data. It will be added to our App Store soon and then included in GrapheneOS as a default enabled TTS backend once some more improvements are made to it.

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in reply to Tim Chambers

mastodon - Link to source

GrapheneOS

@tchambers It's not really platform specific. It currently runs on the CPU but we plan to add TPU support for Tensor and NPU support for Snapdragon in the future. It's made for GrapheneOS and we're not interested in doing any significant work on use outside of GrapheneOS. It will be possible to install it from our App Store on other Android 16+ operating systems but it's not our focus. We're focused on making GrapheneOS better and haven't gotten much out of making stuff available elsewhere.
@Tim Chambers
in reply to Breizh

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GrapheneOS

@breizh It wasn't quite good enough and has very high latency which makes it unsuitable for use with TalkBack. We're making this because existing options including Sherpa don't meet our requirements. Otherwise, we could have forked those. It made more sense to make our own instead which we'll be able to continue improving long term. It's similar to our network location and geocoding implementations where we want things done a particular way focused on high quality in all areas we care about.
@Breizh
in reply to GrapheneOS

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Peter Vágner

@GrapheneOS I'm interested in having working open-source #TTS for Slovak language in the future. I my-self am not proficient enough to create my own high quality engine but I think I still might be helpfull. During all these years I've been contributing to eSpeak-ng slovak language support and recently with friends @ondrosik and @Zvonimir Stanecic we are contributing to #RHVoice.
Thus I will be watching the development of your TTS engine to find out if it can be trained using a homelab setup and if adding support for the language is something I might be able to help with.
Thank you for this news and all the hard work you've put into it.
#tts #RHVoice @GrapheneOS @ondrosik @Zvonimir Stanecic
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