Matcha-TTS
Matcha-TTS is a fast TTS architecture with conditional flow matching
GraphCanon updated 3w · GitHub synced 3w
Decision brief
Matcha-TTS employs non-autoregressive probabilistic techniques with deep learning for fast TTS generation.
Good fit when
- When you require rapid deployment of text-to-speech engines without autoregressive dependencies
- For applications needing state-of-the-art ICASSP 2024 advancements in TTS technology
Avoid when
- If your project requires real-time adaptability to user input that necessitates autoregressive methods
- In scenarios where licensing flexibility is not a priority, favoring proprietary systems with dedicated support
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Active (16d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- 103 low (103 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/shivammehta25/Matcha-TTSSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
[ICASSP 2024] Matcha-TTS offers a method for fast text-to-speech generation using deep learning and diffusion models with non-autoregressive probabilistic techniques.
Capability facts
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Jul 30, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 30, 2026)
conda create -n matcha-tts python=3.10 -ySource link
Tags
README
Installation
- Create an environment (suggested but optional)
conda create -n matcha-tts python=3.10 -y
conda activate matcha-tts
- Install Matcha TTS using pip or from source
pip install matcha-tts
from source
pip install git+https://github.com/shivammehta25/Matcha-TTS.git
cd Matcha-TTS
pip install -e .
- Run CLI / gradio app / jupyter notebook
For agents
This page has a .md twin and JSON over the API.