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The Ethereal
Acoustic Correlates of the Voice Qualifiers: A Survey
October 29, 2020 ยท The Cartographer ยท ๐ arXiv.org
"No code URL or promise found in abstract"
"Title-pattern auto-detect: Acoustic Correlates of the Voice Qualifiers: A Survey"
Evidence collected by the PWNC Scanner
Authors
Shahan Ali Memon
arXiv ID
2010.15869
Category
cs.SD: Sound
Cross-listed
cs.MM,
eess.AS
Citations
10
Venue
arXiv.org
Last Checked
3 days ago
Abstract
Our voices are as distinctive as our faces and fingerprints. There is a spectrum of non-disjoint traits that make our voices unique and identifiable, such as the fundamental frequency, the intensity, and most interestingly the quality of the speech. Voice quality refers to the characteristic features of an individual's voice. Previous research has from time-to-time proven the ubiquity of voice quality in making different paralinguistic inferences. These inferences range from identifying personality traits, to health conditions and beyond. In this manuscript, we first map the paralinguistic voice qualifiers to their acoustic correlates in the light of the previous research and literature. We also determine the openSMILE correlates one could possibly use to measure those correlates. In the second part, we give a set of example paralinguistic inferences that can be made using different acoustic and perceptual voice quality features.
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