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Objective model of vocal folds, based on glottal closure, opening angles and morphologic criteria., , , , and . ISSPA, page 1-4. IEEE, (2007)Teaching signal processing applications with "joPAS": Java to octave bridge., , , , and . EUSIPCO, page 1-5. IEEE, (2006)Esophageal voices: glottal flow restoration., , , , and . ICASSP (4), page 141-144. IEEE, (2005)Keyframes detection and analysis in vocal folds recordings using hierarchical motion techniques and texture information., , , and . ICIP, page 653-656. IEEE, (2009)Time-spectral technique for esophageal voice regeneration., and . EUSIPCO, page 1-4. IEEE, (2002)Automated characterization of esophageal and severely injured voices by means of acoustic parameters., , , , and . EUSIPCO, page 2224-2228. IEEE, (2007)Objective characterization of oesophageal voice supporting medical diagnosis, rehabilitation and monitoring., , , and . Comput. Biol. Medicine, 39 (2): 97-105 (2009)Ubiquitous Computing to Lower Domestic Violence Rate Based on Emotional Support Social Network (Redsiam)., , , , , , and . DCAI, volume 217 of Advances in Intelligent Systems and Computing, page 163-170. Springer, (2013)EasySP: The Easiest form to Learn Signal Processing Interactively., , , , and . ICASSP (3), page 713-716. IEEE, (2007)A MapReduce Opinion Mining for COVID-19-Related Tweets Classification Using Enhanced ID3 Decision Tree Classifier., , , , , , and . IEEE Access, (2021)