Deeply Nonverbal Vocalization Dataset
Identifier: SLR99
Summary: A human nonverbal vocal sound dataset by Deeply Inc.
Category: Audio
License: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
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NonverbalVocalization.tgz [45M] ( Nonverbal Vocalization dataset ) Mirrors:
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About this resource:
- Volume(full set): ~0.6(~57) hours, ~800(~70,000) utterances, ~500(~1500) speakers
- Format: 16kHz, 16-bit, mono
- Device: Android phones
The Nonverbal Vocalization Dataset is a human nonverbal vocal sound dataset crowdsourced by the general public in South Korea. Also, the dataset includes metadata such as age, sex, noise level, and quality of utterance.
16 classes of Included human nonverbal sound contain 'teeth-chattering', teeth-grinding', 'tongue-clicking', 'nose-blowing', 'coughing', 'yawning', 'throat clearing', 'sighing', 'lip-popping', 'lip-smacking', 'panting', 'crying', 'laughing', 'sneezing', 'moaning', and 'screaming'.
The dataset is a subset(approximately 1%) of a much bigger dataset
which were recorded under the same environment as this public dataset.
Please visit our website Deeply Inc., GitHub, or contact us for more details and access to the full set of the dataset with commercial license.
Deeply makes products that anyone can use with audio AI technology and makes people's lives happier with those products. For more products and services, please visit Deeply Inc..
Structure
Nonverbal_Vocalization.json {"teeth-chattering": {"87LX_0_6_0_19_0_0_0.wav": {"label": 0, "speakerID": "87LX", "age": 19, "sex": 0, "location": 0, "quality": 0, "noise": 0}, ... } ... ... } label : {0: 'teeth-chattering', 1: 'teeth-grinding', 2: 'tongue-clicking', 3: 'nose-blowing', 4: 'coughing', 5: 'yawning', 6: 'throat-clearing', 7: 'sighing', 8: 'lip-popping', 9: 'lip-smacking', 10: 'panting', 11: 'crying', 12: 'laughing', 13: 'sneezing', 14: 'moaning', 15: screaming'} Sex : {0: 'Female', 1: 'Male'} Location: {0: 'indoor', 1: 'outdoor'} Quality : {0: 'High', 1: 'Low'} Noise : {0: 'Noiseless', 1: 'Noisy'}You can cite the data as follows:
@misc{deeply_nonverbal, title={{Deeply Nonverbal Vocalization dataset}}, author={Deeply Inc.}, year={2021}, url={https://github.com/deeplyinc/Nonverbal-Vocalization-Dataset} }
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