What does HackerNews think of TensorFlowTTS?
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
Language:
Python
The problem is mostly about model training and architecture. I was doing TTS like 2.5/3 years ago and most models were train on fixed (+/- 5-10s) clips with like avg of 80 words or so, there were few attempts for fixing that and if I remember correctly few RNN-based models were good at ignoring input length and generate "good" audio but new flow-based and diffusion based models are out of my domain as I'm in CV for past few years and only read some new cool paper once in a while :)
You can also search for postags (and token ids for them) that are especially placed for "pause" audio as they often fix problem with weird transition when you split the sentences.
This repo -> https://github.com/TensorSpeech/TensorFlowTTS was very good few years back.
I had a lot of success using FastSpeech2 + MB MelGAN via TensorFlowTTS: https://github.com/TensorSpeech/TensorFlowTTS. There are demos for iOS and Android which will allow you to run pretty convincing, modern TTS models with only a few hundred milliseconds of processing latency.
For open source offline TTS with more or less recent algorithms you can check
Recent more or less reasonable one is https://github.com/TensorSpeech/TensorFlowTTS, it implements all the latest algorithms. For simple business books it will be ok, for emotional fiction probably not there yet.