Datasets:
Deeply Nonverbal Vocalization Dataset
Source: https://www.openslr.org/99/
License: CC BY-NC-ND 4.0
Description: The Vocal Characterizer Dataset is a human nonverbal vocal sound dataset consisting of approximately 56.7 hours of short clips from 1,419 speakers, crowdsourced by the general public in South Korea. This is a subset (~5%) of the full dataset.
Classes (16):
- teeth-chattering
- teeth-grinding
- tongue-clicking
- nose-blowing
- coughing
- yawning
- throat-clearing
- sighing
- lip-popping
- lip-smacking
- panting
- crying
- laughing
- sneezing
- moaning
- screaming
Format: FLAC 48kHz 16-bit mono
Total samples: 726 Total tar files: 2
Reference: Deeply Inc. Vocal Characterizer Dataset