Basically what I'm trying to do but full offline and already polished.
Only in English, they encourage tinkering

Voice, translation and conversational interfaces with a Python SDK that also offers ONNX models, and that looks promising

The example solution in this StackOverflow answer appears to me clear and easy to understand. For my Piper TTS case, try to initialise the worker and have the run loop accepting something to say. Do the same with the eInk and add them all into a Manager. Put in the queue text to say/display, but not a function to execute.

A fast and local neural text-to-speech engine that embeds espeak-ng for phonemization.
Development has moved here. Check if this is what I'm using.

Just in case of running into something like this while tinkering with TTS

Exhaustive official hardware description of all Raspberry Pi versions

In this article, I will try to discuss some misconceptions about Multithreading and explain why they are false.
All experiments are conducted on a machine with 4 cores

In the realm of speech-to-text (STT) technology, achieving high accuracy and efficiency on low-power devices like the Raspberry Pi Zero 2W presents a unique challenge. This report delves into the performance of the VOST STT system when processing simple English language dialogs on such a device. We will explore the issues encountered, particularly the problem of repeated text at the end of buffers, and propose solutions to enhance the system’s performance.

A guide to troubleshoot the controls binding for the RetroFlag GPi case

Instructions on how to solve a Blank Screen after updating a Retroflag GPi (RetroPie in a Gameboy case)