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# 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