A Hybrid Echo State Network for Hypercomplex Pattern Recognition, Classification, and Big Data Analysis-Reference-Cited by-同舟云学术

A Hybrid Echo State Network for Hypercomplex Pattern Recognition, Classification, and Big Data Analysis

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Computer and Knowledge Engineering (ICCKE)
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Author:

Jamshidi Mohammad Behdad¹,Daneshfar Fatemeh²

Affiliation:

1. University of West Bohemia,Research and Innovation Center for Electrical Engineering (RICE),Pilsen,Czech Republic

2. University of Kurdistan,Department of Computer Engineering and Information Technology,Sanandaj,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9959861/9959975/09960125.pdf?arnumber=9960125

Reference22 articles.

1. Emotion recognition in low-resource settings: An evaluation of automatic feature selection methods;haider;Computer Speech & Language,2020

2. Speech Emotion Recognition Using Scalogram Based Deep Structure;aghajani;International journal of engineering,2020

3. Speech emotion recognition using cepstral features extracted with novel triangular filter banks based on bark and ERB frequency scales;sugan;Digital Signal Processing,2020

4. Wavelet packet analysis for speaker-independent emotion recognition

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