matlab-deep-learning/wav2vec-2.0
This repo provides the pretrained baseline 960 hours wav2vec 2.0 model in MATLAB.
This tool helps researchers, audio analysts, and developers working with speech translate spoken audio directly into written text. You feed it an audio file containing speech, and it outputs the transcribed text. It's designed for anyone needing to quickly and accurately convert spoken words into a written format within a MATLAB environment.
No commits in the last 6 months.
Use this if you need to convert spoken English audio files into written text within MATLAB, especially for research or analysis where accurate transcription is critical.
Not ideal if you need to transcribe audio in languages other than English or require real-time transcription from a live audio stream.
Stars
8
Forks
3
Language
—
License
—
Category
Last pushed
Mar 29, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/matlab-deep-learning/wav2vec-2.0"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
felixbur/nkululeko
Machine learning speaker characteristics
claritychallenge/clarity
Clarity Challenge toolkit - software for building Clarity Challenge systems
juanmc2005/diart
A python package to build AI-powered real-time audio applications
astorfi/3D-convolutional-speaker-recognition
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
wq2012/awesome-diarization
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.