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license: mit
language: - multilingual license: apache-2.0 tags: - voice - classification - vocalization - speech - audio datasets: - NonverbalVocalization widget: - src: >- https://huggingface.co/padmalcom/wav2vec2-large-nonverbalvocalization-classification/resolve/main/test.wav example_title: Sample 1 pipeline_tag: audio-classification metrics: - accuracy
This language indendent wav2vec2 classification model is based on this dataset.
Sound classes are:
- teeth-chattering
- teeth-grinding
- tongue-clicking
- nose-blowing
- coughing
- yawning
- throat clearing
- sighing
- lip-popping
- lip-smacking
- panting
- crying
- laughing
- sneezing
- moaning
- screaming
inference.py shows, how the model can be used. 18e5a42 (Initial commit of Nonverbal-AudioCLwav2vec2 model)
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