ondrejklejch/learning_to_adapt
Coordinate-wise meta-learner for speaker adaptation of ASR models.
When building Automatic Speech Recognition (ASR) models, this helps improve how well they understand different individual speakers. It takes your existing ASR model and audio data from specific speakers to fine-tune the model, making it more accurate for those individual voices. Speech scientists and engineers working on ASR systems would use this to enhance personalization.
No commits in the last 6 months.
Use this if you need to significantly improve the accuracy of an ASR model for specific speakers after initial training.
Not ideal if you are looking for a general-purpose ASR model that doesn't require adaptation to individual speakers.
Stars
20
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 30, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/ondrejklejch/learning_to_adapt"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
TensorSpeech/TensorFlowASR
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2....
dangvansam/viet-asr
VietASR - Vietnamese Automatic Speech Recognition
wenet-e2e/wenet
Production First and Production Ready End-to-End Speech Recognition Toolkit
xinjli/allosaurus
Allosaurus is a pretrained universal phone recognizer for more than 2000 languages
srvk/eesen
The official repository of the Eesen project