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Kernel Ridge Regression (KRR) [22] is a kernel method classifier model which uses the kernel trick. Instead of learning a fixed set of parameters for the input features,
If a system of linear constraints in the search space has x-intercepts at least four subintervals apart, that system has greater harmonic deviation than Secor’s Miracle
Compared to the statistical model approach, the neural approach focuses on learning frame-level speaker features, hence more suitable for dealing with short speech segments,
Based on our conjecture that there is correlation between sharpness of attention alignment and the quality of the generated speech, we decided to improve prediction of
As part of the 2016 public evaluation challenge on Detection and Classification of Acoustic Scenes and Events (DCASE 2016), the second task focused on evaluating sound event
Due to the mentioned drawbacks of message authenticity checking based on conventional cryptography, such as message authentication codes, and the special requirements of MC- MTC, a
subarrays based structure [24]-[25] have been designed to increase the array aperture using HOS by many folds. In this paper we will show that for real valued signals the number
A similar approach was used in [41] in the context of MIMO synthetic aperture radar (SAR) with orthogonal frequency-division multiplexing linear frequency modulated (OFDM
