IEEE

Speech Emotion Recognition via an Attentive Time–Frequency Neural Network

Abstract: Spectrogram is commonly used as the input feature of deep neural networks to learn the high(er)-level time–frequency pattern of speech signal for speech emotion recognition (SER). Generally, ...
IEEE

Accuracy Enhancement Method for Speech Emotion Recognition From Spectrogram Using Temporal Frequency Correlation and Positional Information Learning Through Knowledge Transfer

Abstract: In this paper, we propose a method to improve the accuracy of speech emotion recognition (SER) by using vision transformer (ViT) to attend to the correlation of frequency (y-axis) with time ...
GitHub

xb_tutorial_readresults.m

% Once an XBeach model is finished running, it's time to load the model % output into the XBeach Toolbox. This tutorial shows you how. %% Reading model output % Reading model output is done with the ...