Novel EMD-Based Technological Procedure for Speech Signal Processing

Author:

Alimuradov Alan K.1,Tychkov Alexander Yu.2,Churakov Pyotr P.3,Porezanov Bogdan A.4,Steshkin Ilya O.4,Platonov Kirill E.4,Baranova Anastasia V.5,Dudnikov Dmitry S.4

Affiliation:

1. Penza State University,Student Research and Production Business Incubator,Penza,Russia

2. Research Institute for Fundamental and Applied Studies, Penza State University,Penza,Russia

3. Penza State University,Data Measuring Equipment and Metrology Department,Penza,Russia

4. Penza State University,Department of Information Technology and Electronics,Penza,Russia

5. Penza State University,Department of Computer Engineering,Penza,Russia

Funder

Council for Grants of the President of the Russian Federation

Publisher

IEEE

Reference33 articles.

1. The Laboratory of Signals and Nonlinear Dynamics;Faculty of Engineering,0

2. Investigation of the effect of the analyzed speech signal duration on the frequency-selective properties of empirical mode decomposition;alimuradov;XVI International Scientific and Technical Conference on New Information Technologies and Systems,2019

3. Improved complete ensemble EMD: A suitable tool for biomedical signal processing

4. Ensemble empirical mode decomposition: A noise-assisted data analysis method;zhaohua;Adv Adapt Data Anal,2009

5. The impact of global warming on enso variability in climate records;wu;Tech report Cent Ocean Stud,2001

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1. Software and Hardware Implementation of a System to Detect and Classify Human Emotional States from Speech Signals Under Extreme Conditions;2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA);2023-11-08

2. Comparative Analysis of Filtering Noise from Voice Signal by Different Decomposition Methods;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

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