Testing @X algo
If you are building in
-AI
-Agents
-LLM Engineering
-ML Infrastructure
-Developer Tools
-Web3
Letβs connect. Drop what you're building currently.
@realhisaacbrown@X up until recently I've been working on zuna - a local-first browser audiobook reader that extracts pdf/txt text and narrates it using native speech synthesis.
been in llm and inference trenches so getting some hands-on in browser side inference.
taking a break from my exam prep. gonna work on my prev hackathon project now. all nighter coming up but def not for the exam.π https://t.co/bN5691Vkn5
what went wrong earlier?
F5-TTS delivered better custom voices, but it was too heavy and slow for browser inference.
π§΅
so what am I gonna do now?
VITS(Variational Inference with Adversarial Learning for e2e Text-to-Speech)and Piper TTS are apparently very good for browser side inference. will take some testing and benchmarking but I will fine tune each of em, squeeze em into smol onnx and test.
I squeezed the model into a small onnx file thinking it will run, but large model files, ONNX loading, high memory use, voice switching delays, and Vercelβs static limits caused startup failures and unreliable narration, so i removed it. (zuna is inactive for now)