29 Open source projects that are alternatives of or similar to multilingual-g2p

Python wrapper for Espeak and Mbrola, for simple local TTS

Grapheme to phoneme conversion with deep learning.

General Architecture for Text Engineering

A Text to Speech Reader Front-end that Reads from the Clipboard and with Exceptionable Features

A suite of language tools

An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.

A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.

Python package for lexicon; Trie and DAWG implementation.

A modern, interlingual wordnet interface for Python

Myanmar (Burmese) Language Grapheme to Phoneme (myG2P) Conversion Dictionary for speech recognition (ASR) and speech synthesis (TTS).

A WEKA package for analyzing emotion and sentiment of tweets.

Grapheme To Phoneme

24-hour Automatic Speech Recognition

Software Automatic Mouth - Tiny Speech Synthesizer

This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.

Sentiment Analysis in Javascript using the AFINN Lexicon

NRC Word-Emotion Association Lexicon

Open Greek New Testament Project; NA28 / NA27 Equivalent Text & Resources

A WordNet in GF

Malayalam Morphological Analyzer using Finite State Transducer

Curated list of all NLP Resources

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

Some simple wrappers around eSpeak NG intended to make using this excellent TTS for waveform and IPA generation as convenient as possible.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Aligns text (lyrics) with monophonic singing voice (audio). The algorithm uses structural segmentation to segment the audio into structures and then uses hidden markov models to obtain alignment within segments. The final alignment is concatenation of time stamps of lyrics within the segments for each song.

Massively multilingual pronunciation mining

Linguistic processing for Common Voice

g2pK: g2p module for Korean