readme: ---
  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](https://github.com/deeplyinc/Nonverbal-Vocalization-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.