Abstract: In this paper, a novel endpoint detection algorithm based on spectrogram row self-correlation is proposed. Initially, the original speech signals are changed into speech spectrogram. In ...
A study published in the journal Information Sciences introduces a novel framework for speech emotion recognition using dual-channel spectrograms and optimized deep features. Their proposed ...
Abstract: This research presents a novel algorithm for detecting human emotion via speech recognition by using speech spectrogram. The proposed algorithm aims to detect the emotional by using ...
We incorporate effective components of the TasNet into a freq-domain separation method. We introduce a solution for directly optimizing the separation criterion in freq-domain networks. Our exp ...
Recent studies have successfully shown how style transfer can be applied on images from one domain to another. In this project we attempt to use this technique to embed emotions in spectrogram images.
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