Improving Biometric Voice Authentication Systems: Robustness in Facing Short-Term Dysphonies

• Grant number: 22/05186-4
• Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
• Start date: July 01, 2022
• End date: June 30, 2023
• Field of knowledge: Engineering - Electrical Engineering
• Principal Investigator: Rodrigo Capobianco Guido
• Grantee: Rodrigo Colnago Contreras
• Host Institution: Instituto de Biociências, Letras e Ciências Exatas (IBILCE). Universidade Estadual Paulista (UNESP). Campus de São José do Rio Preto. São José do Rio Preto , SP, Brazil
• Associated research grant: 21/12407-4 - Improving biometric voice authentication systems: robustness in facing short-term dysphonies, AP.R

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

VIANA, MONIQUE SIMPLICIO; CONTRERAS, RODRIGO COLNAGO; MORANDIN JUNIOR, ORIDES. A New Frequency Analysis Operator for Population Improvement in Genetic Algorithms to Solve the Job Shop Scheduling Problem. SENSORS, v. 22, n. 12, p. 26-pg., 2022-06-01. (22/05186-4)

CONTRERAS, RODRIGO COLNAGO; NONATO, LUIS GUSTAVO; BOAVENTURA, MAURILIO; BOAVENTURA, INES APARECIDA GASPAROTTO; DOS SANTOS, FRANCISCO LLEDO; ZANIN, RODRIGO BRUNO; VIANA, MONIQUE SIMPLICIO. A New Multi-Filter Framework for Texture Image Representation Improvement Using Set of Pattern Descriptors to Fingerprint Liveness Detection. IEEE ACCESS, v. 10, p. 26-pg., 2022-01-01. (15/14358-0, 22/05186-4, 21/15165-1, 13/07375-0)

CONTRERAS, RODRIGO COLNAGO; VIANA, MONIQUE SIMPLICIO; FONSECA, EVERTHON SILVA; DOS SANTOS, FRANCISCO LLEDO; ZANIN, RODRIGO BRUNO; GUIDO, RODRIGO CAPOBIANCO. An Experimental Analysis on Multicepstral Projection Representation Strategies for Dysphonia Detection. SENSORS, v. 23, n. 11, p. 36-pg., 2023-05-30. (21/12407-4, 22/05186-4)

TAMOTO, HUGO; CONTRERAS, RODRIGO COLNAGO; DOS SANTOS, FRANCISO LLEDO; VIANA, MONIQUE SIMPLICIO; GIORIA, RAFAEL DOS SANTOS; CARNEIRO, CLEYTON DE CARVALHO; RUTKOWSKI, L; SCHERER, R; KORYTKOWSKI, M; PEDRYCZ, W; et al. Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2022, PT I, v. 13588, p. 16-pg., 2023-01-01. (22/05186-4)