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🇨🇦Samuel Proulx🇨🇦 @fastfinge@interfree.ca
4mo
The State of Modern AI Text To Speech Systems for Screen Reader Users: The past year has seen an explosion in new text to speech engines based on neural networks, large language models, and machine learning. But has any of this advancement offered anything to those using screen readers? stuff.interfree.ca/2026/01/05/ai-tts-for-screenreaders.html
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Matthew @rmcpantoja@mastodon.social
4mo
@fastfinge I have been developing a neural TTS system, focused on screen reading for many months, which offers instant responsiveness, but maintains good synthesis quality at the same time. And, BTW, it is not recommended at all to use espeak as a phonemizer backend as breaks the text embeddings during model training, especially if we use linguistic information. And, please consider to avoid overeading NVDA's python environment in your add-ons.
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🇨🇦Samuel Proulx🇨🇦 @fastfinge@interfree.ca
4mo
@rmcpantoja Yes, the only way to avoid messing with the NVDA Python environment would be to do an IPC server. But at that point, you're really just rewriting SAPI and it seems pointless.
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