This repository contains the Neural Network (NN) based Speech Synthesis System
developed at the Centre for Speech Technology Research (CSTR), University of Edinburgh.
Merlin is a toolkit for building Deep Neural Network models for statistical parametric speech synthesis. It must be used in combination with a front-end text processor (e.g., Festival) and a vocoder (e.g., STRAIGHT or WORLD).
The system is written in Python and relies on the Theano numerical computation library.
Merlin comes with recipes (in the spirit of the Kaldi automatic speech recognition toolkit) to show you how to build state-of-the art systems.
Merlin is free software, distributed under an Apache License Version 2.0, allowing unrestricted commercial and non-commercial use alike.
Read the documentation at cstr-edinburgh.github.io/merlin.
Merlin is compatible with: Python 2.7-3.6.
Merlin uses the following dependencies:
To install Merlin,
cd merlin and run the below steps:
pip install -r requirements.txt
To run the example system builds, see
As a first demo, please follow the scripts in
Now, you can also follow Josh Meyer's blog post for detailed instructions
on how to install Merlin and build SLT demo voice.
For a more in-depth tutorial about building voices with Merlin, you can check out:
Listen to synthetic speech samples from our SLT arctic voice.
master, e.g. you create
Post your questions, suggestions, and discussions to GitHub Issues.
If you publish work based on Merlin, please cite:
Zhizheng Wu, Oliver Watts, Simon King, "Merlin: An Open Source Neural Network Speech Synthesis System" in Proc. 9th ISCA Speech Synthesis Workshop (SSW9), September 2016, Sunnyvale, CA, USA.