Aratako/Irodori-TTS
A Flow Matching-based Text-to-Speech Model with Emoji-driven Style Control
This tool helps you turn written text into spoken audio, perfect for creating voiceovers, audiobooks, or virtual assistants. You input text and optionally a reference audio clip, and it outputs a natural-sounding audio file. It's designed for anyone needing to generate high-quality synthetic speech with control over voice style and characteristics.
Use this if you need to generate spoken audio from text and want to either clone a voice from a short sample or precisely control the vocal style using descriptive captions.
Not ideal if you need a simple text-to-speech tool without advanced voice cloning or nuanced style control capabilities.
Stars
40
Forks
6
Language
Python
License
MIT
Category
Last pushed
Feb 27, 2026
Commits (30d)
0
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