Correction to: Towards robust voice pathology detection
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CORRECTION
Correction to: Towards robust voice pathology detection Investigation of supervised deep learning, gradient boosting, and anomaly detection approaches across four databases Pavol Harar1 • Zoltan Galaz1 • Jesus B. Alonso-Hernandez2 • Jiri Mekyska1 • Radim Burget1 Zdenek Smekal1
•
Received: 23 August 2019 / Accepted: 26 August 2019 Ó Springer-Verlag London Ltd., part of Springer Nature 2019
Correction to: Neural Computing and Applications https://doi.org/10.1007/ s00521-018-3464-7
The original article has been corrected. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The Table 3 was published incorrectly in the original publication of the article. The correct version of Table 3 is given here. Table 3 Number of chunks used in the experiments Database
H (M)
P (M)
H (F)
P (F)
Total
625
509
872
804
2810
MEEI
126
114
185
168
593
PDA
1158
331
5
605
2099
AVPD
SVD
400
645
624
871
2540
Total
2309
1599
1686
2448
8042
The original article can be found online at https:// doi.org/10.1007/s00521-018-3464-7. & Pavol Harar [email protected] 1
Brno University of Technology, Technicka 3082/12, 61 600 Brno, Czech Republic
2
Institute for Technological Development and Innovation in Communications (IDeTIC), University of Las Palmas de Gran Canaria, Parque Cientı´fico Tecnolo´gico de la ULPGC, Polivalente II, Planta 2, 35017 Las Palmas de Gran Canaria, Spain
123
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