nnmnkwii - Speech Synthesis Library for Efficient Prototyping

nnmnkwii: Enabling Easy and Fast Speech Synthesis Prototyping

Overview

nnmnkwii (pronounced as [nanamin kawaii]) is a powerful library designed to facilitate the development of advanced speech synthesis systems. It is specifically crafted to support easy and fast prototyping, making it a valuable tool for researchers and developers in the field of speech technology.

Features

Ease of Use: nnmnkwii aims to provide a straightforward approach to building speech synthesis systems, allowing users to quickly prototype their ideas.
Versatility: The library is designed to be flexible, offering various functionalities to accommodate different needs in speech synthesis.
Community and Support: nnmnkwii is supported by comprehensive documentation, available in both stable and latest in-development versions, to help users understand and implement their projects effectively.

Installation

Getting started with nnmnkwii is simple, and it is readily available for installation via PyPI. Users are advised to ensure they have numpy already installed, and then follow these steps:

For the latest release:
```
pip install nnmnkwii
```

For the latest development version, you have two options:

Install directly from GitHub:

pip install git+https://github.com/r9y9/nnmnkwii

Clone the repository and install it locally:

git clone https://github.com/r9y9/nnmnkwii
cd nnmnkwii
python setup.py develop  # or install

This should automatically resolve all necessary dependencies and compile the library correctly.

Dependencies

For those interested in using the nnmnkwii.autograd package, it’s important to note that it depends on PyTorch. Installing PyTorch is essential for users who plan to leverage autograd functionalities within nnmnkwii.

Inspirations and Acknowledgements

nnmnkwii draws inspiration from several renowned open-source projects, including:

Merlin: A toolkit from the University of Edinburgh for building deep learning-based speech synthesis systems.
Librosa: A Python package for music and audio analysis.

The project's logo was creatively designed by Gloomy Ghost, contributing to the visual identity of nnmnkwii.

nnmnkwii continues to evolve, shaped by community contributions and ongoing developments, making it a dynamic and robust choice for anyone embarking on speech synthesis projects. Whether you are a seasoned researcher or a novice in the field, nnmnkwii's user-friendly approach and comprehensive capabilities are designed to support your creative and technical endeavors in the exciting world of speech technology.