self-supervised-speech-recognition
speech to text with self-supervised learning based on wav2vec 2.0 framework
Convert spoken language into text using a learning method that requires only a small amount of written data.
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self-supervised-speech-recognition has 380 stars on GitHub. It has been forked 114 times. self-supervised-speech-recognition is written mainly in Python. It has been in active development since 2020. Its main topics are self-supervised-learning, semi-supervised-learning, speech-recognition, speech-to-text.
What is self-supervised-speech-recognition?
speech to text with self-supervised learning based on wav2vec 2.0 framework
Is self-supervised-speech-recognition open source?
self-supervised-speech-recognition is an open-source project.
Is self-supervised-speech-recognition free?
Yes. self-supervised-speech-recognition is free and open source — you can use, modify and self-host it.
What language is self-supervised-speech-recognition written in?
self-supervised-speech-recognition is written mainly in Python.
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