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Estimation of harmonic and noise components of the glottal excitation.

, , and . MAVEBA, page 115-118. Firenze University Press / ISCA, (2011)

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Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules., and . ISMIS, volume 10352 of Lecture Notes in Computer Science, page 499-508. Springer, (2017)Estimation of harmonic and noise components of the glottal excitation., , and . MAVEBA, page 115-118. Firenze University Press / ISCA, (2011)Online Multi-label Classification with Adaptive Model Rules., and . CAEPIA, volume 9868 of Lecture Notes in Computer Science, page 58-67. Springer, (2016)Accurate analysis and visual feedback of vibrato in singing., , and . ISCCSP, page 1-6. IEEE, (2012)Co-training study for online regression., and . SAC, page 529-531. ACM, (2018)Time-Series Pattern Verification in CNC Machining Data., , , , and . EPIA (1), volume 14115 of Lecture Notes in Computer Science, page 299-310. Springer, (2023)BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract)., , , , , and . ICDE, page 2145-2146. IEEE, (2019)Multi-label classification from high-speed data streams with adaptive model rules and random rules., and . Prog. Artif. Intell., 7 (3): 177-187 (2018)First Principle Models Based Dataset Generation for Multi-Target Regression and Multi-Label Classification Evaluation., and . STREAMEVOLV@ECML-PKDD, volume 2069 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Online Semi-supervised Learning for Multi-target Regression in Data Streams Using AMRules., and . IDA, volume 9897 of Lecture Notes in Computer Science, page 123-133. (2016)