Robust Deep Speaker Recognition: Learning Latent Representation with Joint Angular Margin Loss
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DOI: 10.3390/app10217522
Abstract: Speaker identification is gaining popularity, with notable applications in security, automation, and authentication. For speaker identification, deep-convolutional-network-based approaches, such as SincNet, are used as an alternative to i-vectors. Convolution performed by parameterized sinc functions in… read more here.
Keywords: sincnet; loss; speaker; speaker recognition ... See more keywords
EEG Emotion Classification Using an Improved SincNet-Based Deep Learning Model
Sign Up to like & getrecommendations! Published in 2019 at "Brain Sciences"
DOI: 10.3390/brainsci9110326
Abstract: Deep learning (DL) methods have been used increasingly widely, such as in the fields of speech and image recognition. However, how to design an appropriate DL model to accurately and efficiently classify electroencephalogram (EEG) signals… read more here.
Keywords: classification; eeg signals; sincnet; deep learning ... See more keywords