2 papers
eess.SP2026
End-to-End Neural Decomposition with Koopman Operators for Time-Series Forecasting
De-Yan Lu, Xugang Lu, Yu Tsao +1
Koopman theory offers a linear-operator view of nonlinear sequence dynamics by lifting observations into a space where evolution is governed by a linear time-invariant Koopman oper…
eess.AS2024
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features
Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen +3
In this study, we propose a cross-domain multi-objective speech assessment model called MOSA-Net, which can estimate multiple speech assessment metrics simultaneously. Experimental…