task_categories:feature-extraction task_categories:zero-shot-classification license:mit size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: audio
    sequence: int16
  - name: label
    dtype: string
  splits:
  - name: train
    num_bytes: 66033056
    num_examples: 727
  download_size: 57573927
  dataset_size: 66033056
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- feature-extraction
- zero-shot-classification
---



---
The Nonverbal Vocalization Dataset, also known as the Vocal Characterizer, is a human nonverbal vocal sound dataset that was crowdsourced from the South Korean public and consists of 56.7 hours of brief clips from 1419 speakers. The dataset also contains metadata about sex, age, noise level, and speech quality. "Teeth-chattering," "teeth-grinding," "tongue-clicking," "coughing," "yawning," "throat clearing," "sighing," "lip-popping," "lip-smacking," "panting," "crying," "laughing," "sneezing," "moaning," and "screaming" are among the 16 classifications of included human nonverbal sound data.

gadget


- ---