Open-Speech-EkStep/vakyansh-wav2vec2-experimentation
Repository containing experimentation platform on how to train, infer on wav2vec2 models.
This project helps developers and researchers working on speech technology to build and customize speech-to-text models for Indic languages. It takes audio recordings and corresponding text transcripts as input and outputs trained models that can convert new speech into written text. This is designed for machine learning engineers or AI researchers specializing in speech recognition.
No commits in the last 6 months.
Use this if you need to train, fine-tune, or perform inference with Wav2Vec2 models for speech recognition, especially for Indic languages.
Not ideal if you are looking for an out-of-the-box, end-user speech-to-text application without needing to train or fine-tune models.
Stars
88
Forks
40
Language
Python
License
MIT
Category
Last pushed
Sep 22, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/Open-Speech-EkStep/vakyansh-wav2vec2-experimentation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
liangstein/Chinese-speech-to-text
Chinese Speech To Text Using Wavenet
louiskirsch/speechT
An opensource speech-to-text software written in tensorflow
Open-Speech-EkStep/vakyansh-models
Open source speech to text models for Indic Languages
oliverguhr/wav2vec2-live
A live speech recognition using Facebooks wav2vec 2.0 model.
juliuskunze/speechless
Speech-to-text based on wav2letter built for transfer learning