NetherQuartz/TextForSpeechNormalizer
A Python library to accentuate Russian text
This library helps with the crucial task of marking stressed vowels in Russian text for applications like text-to-speech, speech recognition, and language learning. You provide Russian text, and it returns the same text with stress marks applied to the correct vowels. Language technology developers, speech engineers, or educators working with Russian will find this useful.
No commits in the last 6 months.
Use this if you need to programmatically add accurate stress marks to Russian text, especially for use in speech synthesis, analysis, or pedagogical tools.
Not ideal if you need a pre-built, end-user application for accentuation rather than a developer library.
Stars
11
Forks
1
Language
Python
License
MIT
Category
Last pushed
Dec 19, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/NetherQuartz/TextForSpeechNormalizer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
speechio/chinese_text_normalization
Chinese text normalization for speech processing
NickZaitsev/ru-normalizr
ru-normalizr — лучший open-source нормализатор русского текста. Приводит числа, даты, время,...
gladiaio/normalization
A lightweight library for normalizing speech transcripts before computing WER
34j/mecab-text-cleaner
Simple Python package (CLI/Python API) for getting japanese readings (yomigana) and accents using MeCab.
repodiac/german_transliterate
Python module to clean and transliterate (i.e. normalize) German text including abbreviations,...