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dict-from-g2pe

Create pronuciation dictionary using g2p

https://github.com/stefantaubert/dict-from-g2pe

Science Score: 67.0%

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    Low similarity (10.5%) to scientific vocabulary
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Repository

Create pronuciation dictionary using g2p

Basic Info
  • Host: GitHub
  • Owner: stefantaubert
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 88.9 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created almost 4 years ago · Last pushed about 2 years ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation

README.md

dict-from-g2pE

PyPI PyPI MIT PyPI PyPI PyPI DOI

CLI to create a pronunciation dictionary by predicting English ARPAbet phonemes using seq2seq model from g2pE and the possibility of ignoring punctuation and splitting on hyphens before prediction.

Installation

sh pip install dict-from-g2pE --user

Usage

sh dict-from-g2pE-cli

Example

```sh

Create example vocabulary

cat > /tmp/vocabulary.txt << EOF Test? abc, "def Test-def. "xyz? "uv-w? EOF

Create dictionary from vocabulary and example dictionary

dict-from-g2pE-cli \ /tmp/vocabulary.txt \ /tmp/result.dict \ --split-on-hyphen \ --n-jobs 4

cat /tmp/result.dict ```

Output:

dict Test? T EH1 S T ? abc, AE1 B K , "def " D EH1 F Test-def. T EH1 S T - D EH1 F . "xyz? " Z IH1 JH IH0 Z ? "uv-w? " AH1 V - V IY1 ?

Development setup

```sh

update

sudo apt update

install Python 3.8-3.12 for ensuring that tests can be run

sudo apt install python3-pip \ python3.8 python3.8-dev python3.8-distutils python3.8-venv \ python3.9 python3.9-dev python3.9-distutils python3.9-venv \ python3.10 python3.10-dev python3.10-distutils python3.10-venv \ python3.11 python3.11-dev python3.11-distutils python3.11-venv \ python3.12 python3.12-dev python3.12-distutils python3.12-venv

install pipenv for creation of virtual environments

python3.8 -m pip install pipenv --user

check out repo

git clone https://github.com/stefantaubert/dict-from-g2p.git cd dict-from-g2p

create virtual environment

python3.8 -m pipenv install --dev ```

Running the tests

```sh

first install the tool like in "Development setup"

then, navigate into the directory of the repo (if not already done)

cd dict-from-g2p

activate environment

python3.8 -m pipenv shell

run tests

tox ```

Final lines of test result output:

log py38: commands succeeded py39: commands succeeded py310: commands succeeded py311: commands succeeded py312: commands succeeded congratulations :)

License

MIT License

Acknowledgments

g2pE: A Simple Python Module for English Grapheme To Phoneme Conversion

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 416228727 – CRC 1410

Citation

If you want to cite this repo, you can use this BibTeX-entry generated by GitHub (see About => Cite this repository).

txt Taubert, S. (2024). dict-from-g2pE (Version 0.0.2) [Computer software]. https://doi.org/10.5281/zenodo.10561178

Owner

  • Name: Stefan Taubert
  • Login: stefantaubert
  • Kind: user
  • Location: Chemnitz, Germany
  • Company: Chemnitz University of Technology

Currently I am working on my PhD about the topic of speech synthesis at Chemnitz University of Technology.

Citation (CITATION.cff) 

cff-version: 1.2.0
title: dict-from-g2pE
abstract: CLI to create a pronunciation dictionary by predicting English ARPAbet phonemes using seq2seq model from g2pE and the possibility of ignoring punctuation and splitting on hyphens before prediction.
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - email: github@stefantaubert.com
    given-names: Stefan
    family-names: Taubert
    affiliation: Chemnitz University of Technology
    orcid: 'https://orcid.org/0000-0002-4932-2874'
    website: 'https://stefantaubert.com/'
version: 0.0.2
date-released: 2024-01-24
license: MIT
url: https://github.com/stefantaubert/dict-from-g2p
doi: 10.5281/zenodo.10561178

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Dependencies

Pipfile pypi
  • autopep8 * develop
  • dict-from-g2pE * develop
  • isort * develop
  • pycodestyle * develop
  • pylint * develop
  • pytest * develop
  • rope * develop
  • g2p-en >=2.1.0
  • ordered-set >=4.1.0
  • pronunciation-dictionary >=0.0.4
  • word-to-pronunciation >=0.0.1
Pipfile.lock pypi
  • astroid ==2.11.3 develop
  • attrs ==21.4.0 develop
  • autopep8 ==1.6.0 develop
  • click ==8.1.2 develop
  • dict-from-g2pe * develop
  • dill ==0.3.4 develop
  • distance ==0.1.3 develop
  • g2p-en ==2.1.0 develop
  • inflect ==5.5.2 develop
  • iniconfig ==1.1.1 develop
  • isort ==5.10.1 develop
  • joblib ==1.1.0 develop
  • lazy-object-proxy ==1.7.1 develop
  • mccabe ==0.7.0 develop
  • nltk ==3.7 develop
  • numpy ==1.22.3 develop
  • ordered-set ==4.1.0 develop
  • packaging ==21.3 develop
  • platformdirs ==2.5.2 develop
  • pluggy ==1.0.0 develop
  • pronunciation-dictionary ==0.0.3 develop
  • py ==1.11.0 develop
  • pycodestyle ==2.8.0 develop
  • pylint ==2.13.6 develop
  • pyparsing ==3.0.8 develop
  • pytest ==7.1.1 develop
  • regex ==2022.3.15 develop
  • rope ==1.0.0 develop
  • setuptools ==62.1.0 develop
  • toml ==0.10.2 develop
  • tomli ==2.0.1 develop
  • tqdm ==4.64.0 develop
  • typing-extensions ==4.2.0 develop
  • word-to-pronunciation ==0.0.1 develop
  • wrapt ==1.14.0 develop
  • click ==8.1.2
  • distance ==0.1.3
  • g2p-en ==2.1.0
  • inflect ==5.5.2
  • joblib ==1.1.0
  • nltk ==3.7
  • numpy ==1.22.3
  • ordered-set ==4.1.0
  • pronunciation-dictionary ==0.0.3
  • regex ==2022.3.15
  • tqdm ==4.64.0
  • word-to-pronunciation ==0.0.1
pyproject.toml pypi
  • g2p-en >=2.1.0
  • nltk >=3.2.4
  • ordered-set >=4.1.0
  • pronunciation-dictionary >=0.0.6
  • word-to-pronunciation >=0.0.1