Enhanced speech emotion detection using deep neural networks

2018 ◽  
Vol 22 (3) ◽  
pp. 497-510 ◽  
Author(s):  
S. Lalitha ◽  
Shikha Tripathi ◽  
Deepa Gupta
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Emotion Detection

Voice Based Emotion Detection using Deep Neural Networks

2021 ◽  
Author(s):  
R Vijaya Saraswathi ◽  
Dheeraj Nandigama ◽  
R Vasavi ◽  
B Ganesh Babu ◽  
D Sai Shivani
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Emotion Detection

scholarly journals Laughter Classification Using Deep Rectifier Neural Networks with a Minimal Feature Subset

2016 ◽  
Vol 41 (4) ◽  
pp. 669-682 ◽  
Author(s):  
Gábor Gosztolya ◽  
András Beke ◽  
Tilda Neuberger ◽  
László Tóth
Keyword(s):  
Neural Networks ◽  
Feature Selection ◽  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Deep Neural Networks ◽  
State Of The Art ◽  
Feature Subset ◽  
Emotion Detection ◽  
Recognition Systems ◽  
Phoneme Identification

Abstract Laughter is one of the most important paralinguistic events, and it has specific roles in human conversation. The automatic detection of laughter occurrences in human speech can aid automatic speech recognition systems as well as some paralinguistic tasks such as emotion detection. In this study we apply Deep Neural Networks (DNN) for laughter detection, as this technology is nowadays considered state-of-the-art in similar tasks like phoneme identification. We carry out our experiments using two corpora containing spontaneous speech in two languages (Hungarian and English). Also, as we find it reasonable that not all frequency regions are required for efficient laughter detection, we will perform feature selection to find the sufficient feature subset.

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks
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