# 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