lxaw / PronunciationTrainerLinks
A pronunciation trainer w/ Python.
☆14Updated 2 months ago
Alternatives and similar repositories for PronunciationTrainer
Users that are interested in PronunciationTrainer are comparing it to the libraries listed below
Sorting:
- Spoken Language assessment☆46Updated 5 years ago
- A tool to practice English speaking☆64Updated 2 years ago
- Analyzes the given text and determine what's the vocabulary level based on CEFR levels☆48Updated 2 years ago
- Script to split video files into chunks based on .srt timecodes☆32Updated 8 years ago
- 📈 A forced aligner intended for synchronization of narrated text☆100Updated 4 months ago
- Allosaurus is a pretrained universal phone recognizer for more than 2000 languages☆684Updated last year
- A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.☆268Updated 3 years ago
- NLP system for predicting the reading difficulty level of a text in terms of its CEFR level.☆73Updated last year
- A python package for deep multilingual punctuation prediction.☆152Updated last year
- Timething is a library for aligning text transcripts with their audio recordings.☆126Updated last year
- Massively multilingual pronunciation mining☆357Updated 3 months ago
- Synchronize Whisper's timestamps over an existing accurate transcription☆160Updated last year
- Converts English text to IPA notation☆393Updated 2 years ago
- A deep learning model is developed which can predict the native country on the basis of the spoken english accent☆51Updated 5 years ago
- Text to speech alignment using CTC forced alignment☆396Updated 3 weeks ago
- A non-native English corpus for pronunciation scoring task☆161Updated last month
- openai/whisper + extra features☆90Updated 3 years ago
- Monolingual wordlists with pronunciation information in IPA☆699Updated 6 months ago
- A testing repo to share code and thoughts on diarisation☆57Updated last year
- Transliteration models for 21 Indic languages☆105Updated 2 years ago
- A summary on our attempts at using Deep Learning approaches for Emotional Text to Speech