Metadata-Version: 1.1
Name: persephone
Version: 0.4.2
Summary: A tool for developing automatic phoneme transcription models
Home-page: https://github.com/oadams/persephone
Author: Oliver Adams
Author-email: oliver.adams@gmail.com
License: GPLv3
Description: Persephone v0.4.2 (beta version)
        ================================
        
        Persephone (/pərˈsɛfəni/) is an automatic phoneme transcription tool.
        Traditional speech recognition tools require a large pronunciation
        lexicon (describing how words are pronounced) and much training data so
        that the system can learn to output orthographic transcriptions. In
        contrast, Persephone is designed for situations where training data is
        limited, perhaps as little as an hour of transcribed speech. Such
        limitations on data are common in the documentation of low-resource
        languages. It is possible to use such small amounts of data to train a
        transcription model that can help aid transcription, yet such technology
        has not been widely adopted.
        
            The speech recognition tool presented here is named after the
            goddess who was abducted by Hades and must spend one half of each
            year in the Underworld. Which of linguistics or computer science is
            Hell, and which the joyful world of spring and light? For each it’s
            the other, of course. --- Alexis Michaud
        
        The goal of Persephone is to make state-of-the-art phonemic
        transcription accessible to people involved in language documentation.
        Creating an easy-to-use user interface is central to this. The user
        interface and APIs are a work in progress and currently Persephone must
        be run via a command line.
        
        The tool is implemented in Python/Tensorflow with extensibility in mind.
        Currently just one model is implemented, which uses bidirectional long
        short-term memory (LSTMs) and the connectionist temporal classification
        (CTC) loss function.
        
        We are happy to offer direct help to anyone who wants to use it.
        Please use the `discussion mailing list <https://lists.persephone-asr.org/postorius/lists/discuss.lists.persephone-asr.org/>`_ 
        to discuss questions regarding this project.
        We are also very welcome to thoughts, constructive criticism, help with
        design, development and documentation, along with any `bug reports <https://github.com/persephone-tools/persephone/issues>`_ or
        `pull requests <https://github.com/persephone-tools/persephone/pulls>`_ you may have.
        
        Documentation
        =============
        
        Documentation can be found `here <http://persephone.readthedocs.io/en/latest/>`_.
        
        Contributors
        ============
        
        Persephone has been built based on the code contributions of:
        
        * Oliver Adams
        * `Janis Lesinskis <https://www.customprogrammingsolutions.com/>`_
        * Ben Foley
        * Nay San
        
        Citation
        ========
        
        If you use this code in a publication, please cite `Evaluating Phonemic
        Transcription of Low-Resource Tonal Languages for Language
        Documentation <https://halshs.archives-ouvertes.fr/halshs-01709648/document>`_:
        
        ::
        
            @inproceedings{adams18evaluating,
            title = {Evaluating phonemic transcription of low-resource tonal languages for language documentation},
            author = {Adams, Oliver and Cohn, Trevor and Neubig, Graham and Cruz, Hilaria and Bird, Steven and Michaud, Alexis},
            booktitle = {Proceedings of LREC 2018},
            year = {2018}
            }
        
Keywords: speech-recognition machine-learning acoustic-models artificial-intelligence neural-networks
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
