Attention Assisted Discovery of Sub-Utterance Structure in Speech Emotion Recognition

2016 ◽  
Author(s):  
Che-Wei Huang ◽  
Shrikanth S. Narayanan
Keyword(s):  
Emotion Recognition ◽  
Speech Emotion Recognition

Speech Emotion Recognition Based on Sparse Representation

2013 ◽  
Vol 38 (4) ◽  
pp. 465-470 ◽  
Author(s):  
Jingjie Yan ◽  
Xiaolan Wang ◽  
Weiyi Gu ◽  
LiLi Ma
Keyword(s):  
Dimensionality Reduction ◽  
Emotion Recognition ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Speech Emotion Recognition ◽  
Least Squares Regression ◽  
Computer Science Pedagogy ◽  
Reduction Methods ◽  
Analysis Computer

Abstract Speech emotion recognition is deemed to be a meaningful and intractable issue among a number of do- mains comprising sentiment analysis, computer science, pedagogy, and so on. In this study, we investigate speech emotion recognition based on sparse partial least squares regression (SPLSR) approach in depth. We make use of the sparse partial least squares regression method to implement the feature selection and dimensionality reduction on the whole acquired speech emotion features. By the means of exploiting the SPLSR method, the component parts of those redundant and meaningless speech emotion features are lessened to zero while those serviceable and informative speech emotion features are maintained and selected to the following classification step. A number of tests on Berlin database reveal that the recogni- tion rate of the SPLSR method can reach up to 79.23% and is superior to other compared dimensionality reduction methods.

Classifier fusion for speech emotion recognition based on improved queuing voting algorithm

2009 ◽  
Vol 29 (2) ◽  
pp. 381-385 ◽  
Author(s):  
Li-qin FU ◽  
Xia MAO ◽  
Li-jiang CHEN
Keyword(s):  
Emotion Recognition ◽  
Classifier Fusion ◽  
Speech Emotion Recognition

Interaction and Transition Model for Speech Emotion Recognition in Dialogue

2017 ◽  
Author(s):  
Ruo Zhang ◽  
Ando Atsushi ◽  
Satoshi Kobashikawa ◽  
Yushi Aono
Keyword(s):  
Emotion Recognition ◽  
Speech Emotion Recognition ◽  
Transition Model

Multi-Modal Speech Emotion Recognition Using Speech Embeddings and Audio Features

2019 ◽  
Author(s):  
Krishna D N ◽  
Sai Sumith Reddy
Keyword(s):  
Emotion Recognition ◽  
Speech Emotion Recognition ◽  
Audio Features

Modeling Perceivers Neural-Responses Using Lobe-Dependent Convolutional Neural Network to Improve Speech Emotion Recognition

2017 ◽  
Author(s):  
Ya-Tse Wu ◽  
Hsuan-Yu Chen ◽  
Yu-Hsien Liao ◽  
Li-Wei Kuo ◽  
Chi-Chun Lee
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Emotion Recognition ◽  
Speech Emotion Recognition ◽  
Neural Responses

No Sample Left Behind: Towards a Comprehensive Evaluation of Speech Emotion Recognition Systems

2019 ◽  
Author(s):  
Pablo Riera ◽  
Luciana Ferrer ◽  
Agustín Gravano ◽  
Lara Gauder
Keyword(s):  
Emotion Recognition ◽  
Comprehensive Evaluation ◽  
Speech Emotion Recognition ◽  
Left Behind ◽  
Recognition Systems

Speech Emotion Recognition Using Spectrogram and Phoneme Embedding

2018 ◽  
Author(s):  
Promod Yenigalla ◽  
Abhay Kumar ◽  
Suraj Tripathi ◽  
Chirag Singh ◽  
Sibsambhu Kar ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Speech Emotion Recognition

GAN-Based Data Generation for Speech Emotion Recognition

2020 ◽  
Author(s):  
Sefik Emre Eskimez ◽  
Dimitrios Dimitriadis ◽  
Robert Gmyr ◽  
Kenichi Kumanati
Keyword(s):  
Emotion Recognition ◽  
Speech Emotion Recognition ◽  
Data Generation

Pyramid Memory Block and Timestep Attention for Speech Emotion Recognition

2019 ◽  
Author(s):  
Miao Cao ◽  
Chun Yang ◽  
Fang Zhou ◽  
Xu-cheng Yin
Keyword(s):  
Emotion Recognition ◽  
Speech Emotion Recognition ◽  
Memory Block
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