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Overview
Merlin is a toolkit for building Deep Neural Network models for statistical parametric speech synthesis. It uses Python and relies on Theano, with optional support for TensorFlow and Keras.
Capability facts
- Languages
- python
Source: github.language · Jul 12, 2026
Categories
Compatibility
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Source: README excerpt (regex_v1, Jul 11, 2026)
The system is written in Python and relies on the Theano numerical computation library.Source link
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README
Merlin: The Neural Network (NN) based Speech Synthesis System
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.
Installation
Merlin uses the following dependencies:
- numpy, scipy
- matplotlib
- bandmat
- theano
- tensorflow (optional, required if you use tensorflow models)
- sklearn, keras, h5py (optional, required if you use keras models)
To install Merlin, cd merlin and run the below steps:
- Install some basic tools in Merlin
bash tools/compile_tools.sh
- Install python dependencies
pip install -r requirements.txt
For detailed instructions, to build the toolkit: see INSTALL and CSTR blog post.
These instructions are valid for UNIX systems including various flavors of Linux;
Getting started with Merlin
To run the example system builds, see egs/README.txt
As a first demo, please follow the scripts in egs/slt_arctic
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:
- Deep Learning for Text-to-Speech Synthesis, using the Merlin toolkit (Interspeech 2017 tutorial)
- Arctic voices
- Build your own voice
Synthetic speech samples
Listen to synthetic speech samples from our SLT arctic voice.
Development pattern for contributors
- Create a personal fork of the main Merlin repository in GitHub.
- Make your changes in a named branch different from
master, e.g. you create a branchmy-new-feature. - Generate a pull request through the Web interface of GitHub.
Contact Us
Post your questions, suggestions, and discussions to GitHub Issues.
Citation
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.