The human speaks a language with an accent. A particular accent necessarily reflects a person's linguistic background. The model defines accent based audio record. The result of the model could be used to determine accents and help decrease accents to English learning students and improve accents by training.

A Japanese accent dictionary generator

Modified version of RusStress (https://github.com/MashaPo/russtress) — python package for placing stress in Russian text using RNN (BiLSTM) and the "Grammatical Dictionary" by A. A. Zaliznyak (from http://odict.ru/).

Meta-learning model agnostic (MAML) implementation for cross-accented ASR

functionality for working with LaTex files

🔊 Download pronunciation audio files from Google's dictionary service. Supports batch downloads with parallel processing.

Guesses the speakers accent using a convolutional neural network

A simple and lightweight Python module for easily retrieving Windows' accent color, including shades, specific window chrome colors and theme. Supports Windows 8.x, 10 and 11 and doesn't require additional dependencies.

A comprehensive Python-based accent classification system that analyzes audio input and identifies the speaker's accent with high accuracy

Identification of accent of an english speaker with their speech signal.

Simple Python package (CLI/Python API) for getting japanese readings (yomigana) and accents using MeCab.

Accent translation in real-time over common base language for audio conference calls using Star Generative Adversarial Network model

Una manera de escribir acentos en equipos con teclado en inglés.

A lightweight, Open Source Python library for transliterating and normalizing Unicode text to Latin ASCII using configurable mappings and Unicode normalization forms, written in Python.

A lightweight, Open Source Python library for transliterating and normalizing Unicode text to Latin ASCII using configurable mappings and Unicode normalization forms, written in Python.