metadata
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.