I'm looking for something self-hosted, preferably linux-based (though win or mac will work too), that will allow me to train a 'voice model' with pre-recorded speech, and then replicate it from text of my choice.

This page summarizes the projects mentioned and recommended in the original post on /r/VocalSynthesis
text-to-speech Pytorch Tts Python neural-tts

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  • Parallel-Tacotron2

    PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

  • FastSpeech2

    An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • TTS

    🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

    • i also found this https://github.com/coqui-ai/tts

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