mush42/optispeech
A lightweight end-to-end text-to-speech model
This project helps convert written text into natural-sounding speech quickly and efficiently. You provide plain text, and it generates an audio file of that text being spoken. This tool is ideal for developers building applications that need to produce high-quality speech on devices with limited resources, like mobile apps or embedded systems.
128 stars. No commits in the last 6 months.
Use this if you need to integrate a fast, lightweight text-to-speech capability directly into your application or device.
Not ideal if you are a casual user looking for a simple web-based text-to-speech converter or don't have development expertise.
Stars
128
Forks
18
Language
Python
License
MIT
Category
Last pushed
Feb 23, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/mush42/optispeech"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
TensorSpeech/TensorFlowTTS
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for...
lucasnewman/nanospeech
A simple, hackable text-to-speech system in PyTorch and MLX
Tomiinek/Multilingual_Text_to_Speech
An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing,...
keonlee9420/STYLER
Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech...
jxzhanggg/nonparaSeq2seqVC_code
Implementation code of non-parallel sequence-to-sequence VC