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.
{"language": ["multilingual"], "license": "apache-2.0", "tags": ["voice", "classification", "vocalization", "speech", "audio"], "datasets": ["NonverbalVocalization"], "metrics": ["accuracy"], "widget": [{"src": "https://huggingface.co/padmalcom/wav2vec2-large-nonverbalvocalization-classification/resolve/main/test.wav", "example_title": "Sample 1"}], "pipeline_tag": "audio-classification"}
transformers pytorch wav2vec2 voice classification vocalization speech audio audio-classification multilingual dataset:NonverbalVocalization license:apache-2.0 endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #wav2vec2 #voice #classification #vocalization #speech #audio #audio-classification #multilingual #dataset-NonverbalVocalization #license-apache-2.0 #endpoints_compatible #has_space #region-us 

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

*URL* shows, how the model can be used.
TAGS
#transformers #pytorch #wav2vec2 #voice #classification #vocalization #speech #audio #audio-classification #multilingual #dataset-NonverbalVocalization #license-apache-2.0 #endpoints_compatible #has_space #region-us 

TAGS
#transformers #pytorch #wav2vec2 #voice #classification #vocalization #speech #audio #audio-classification #multilingual #dataset-NonverbalVocalization #license-apache-2.0 #endpoints_compatible #has_space #region-us 
