Glottal Source Processing: from Analysis to Applications
December 29, 2019 ยท Declared Dead ยท ๐ Computer Speech and Language
"No code URL or promise found in abstract"
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Authors
Thomas Drugman, Paavo Alku, Abeer Alwan, Bayya Yegnanarayana
arXiv ID
1912.12604
Category
cs.SD: Sound
Cross-listed
cs.CL,
eess.AS
Citations
113
Venue
Computer Speech and Language
Last Checked
4 months ago
Abstract
The great majority of current voice technology applications relies on acoustic features characterizing the vocal tract response, such as the widely used MFCC of LPC parameters. Nonetheless, the airflow passing through the vocal folds, and called glottal flow, is expected to exhibit a relevant complementarity. Unfortunately, glottal analysis from speech recordings requires specific and more complex processing operations, which explains why it has been generally avoided. This review gives a general overview of techniques which have been designed for glottal source processing. Starting from fundamental analysis tools of pitch tracking, glottal closure instant detection, glottal flow estimation and modelling, this paper then highlights how these solutions can be properly integrated within various voice technology applications.
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