A live speech recognition using Facebooks wav2vec 2.0 model.
Convert spoken words into text in real-time using a microphone and AI.
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wav2vec2-live has 378 stars on GitHub. It has been forked 58 times. wav2vec2-live is written mainly in Python. It has been in active development since 2021. wav2vec2-live is available under the MIT license. Its main topics are asr, pyaudio, speech, speech-recognition.
A live speech recognition using Facebooks wav2vec 2.0 model.
wav2vec2-live is an open-source project. It is released under the MIT license.
Yes. wav2vec2-live is free and open source — you can use, modify and self-host it.
wav2vec2-live is available under the MIT license.
wav2vec2-live is written mainly in Python.
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