Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
Use pre-trained models to recognize speech and tag audio events, enhancing audio processing capabilities for various applications.
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whisper-at has 421 stars on GitHub. It has been forked 36 times. whisper-at is written mainly in Python. It has been in active development since 2023. whisper-at is available under the BSD-2-Clause license. Its main topics are audio, audio-classification, audio-processing, audio-tagging.
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
whisper-at is an open-source project. It is released under the BSD-2-Clause license.
Yes. whisper-at is free and open source — you can use, modify and self-host it.
whisper-at is available under the BSD-2-Clause license.
whisper-at is written mainly in Python.
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