Metadata-Version: 2.1
Name: tdmelodic
Version: 1.0.0
Summary: tdmelodic: Tokyo Japanese Accent Estimator
Home-page: https://github.com/PKSHATechnology-Research/tdmelodic
Author: Hideyuki Tachibana
Author-email: h_tachibana@pkshatech.com
License: UNKNOWN
Description: <p align="center">
        <img src="https://github.com/PKSHATechnology-Research/tdmelodic/raw/master/imgs/logo/logo_tdmelodic.svg" width="200" />
        </p>
        
        
        # Tokyo Dialect MELOdic accent DICtionary (tdmelodic) generator
        
        [![document](https://readthedocs.org/projects/tdmelodic/badge/?version=latest)](https://tdmelodic.readthedocs.io/en/latest)
        [![arXiv](https://img.shields.io/badge/arXiv-2009.09679-B31B1B.svg)](https://arxiv.org/abs/2009.09679)
        [![Docker](https://github.com/PKSHATechnology-Research/tdmelodic/actions/workflows/docker-image.yml/badge.svg)](https://github.com/PKSHATechnology-Research/tdmelodic/actions/workflows/docker-image.yml)
        [![Lilypond](https://github.com/PKSHATechnology-Research/tdmelodic/actions/workflows/img.yml/badge.svg)](https://github.com/PKSHATechnology-Research/tdmelodic/actions/workflows/img.yml)
        [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)
        
        
        This module generates a large scale accent dictionary of
        Japanese (Tokyo dialect) using a neural network based technique.
        
        For academic use, please cite the following paper.
        [[IEEE Xplore]](https://ieeexplore.ieee.org/document/9054081)
        [[arXiv]](https://arxiv.org/abs/2009.09679)
        
        ```bibtex
        @inproceedings{tachibana2020icassp,
            author    = "H. Tachibana and Y. Katayama",
            title     = "Accent Estimation of {Japanese} Words from Their Surfaces and Romanizations
                         for Building Large Vocabulary Accent Dictionaries",
            booktitle = {2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
            pages     = "8059--8063",
            year      = "2020",
            doi       = "10.1109/ICASSP40776.2020.9054081"
        }
        ```
        
        ## Installation and Usage
        
        - English: [tdmelodic Documentation](https://tdmelodic.readthedocs.io/en/latest)
        - 日本語: [tdmelodic 利用マニュアル](https://tdmelodic.readthedocs.io/ja/latest)
        
        ## Acknowledgement
        Some part of this work is based on the results obtained from a project subsidized by the New Energy and Industrial Technology Development Organization (NEDO).
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Natural Language :: Japanese
Requires-Python: >=3.7
Description-Content-Type: text/markdown
