Modeling of human mood states from voice using adaptively tuned neuro-fuzzy inference system
In this article, an attempt is made to model angry, happy, and neutral human mood states by adaptively tuning the Neuro-fuzzy Inference system for efficient characterization. The algorithm is self-tunable and can provide low-cost and robust solutions to many complex physical world problems....
Main Authors: | Sahu Biswajeet, Palo Kumar Hemanta, Chandra Mahesh |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Technical Sciences in Cacak
2023-01-01
|
Series: | Serbian Journal of Electrical Engineering |
Subjects: | |
Online Access: | http://www.doiserbia.nb.rs/img/doi/1451-4869/2023/1451-48692301013S.pdf |
Similar Items
-
Predicting The Strength Properties of Self Healing Concrete Using Artificial Neural Network
by: A. Ravi Theja, et al.
Published: (2023-01-01) -
Forecasting of Wind-Wave Height by Using Adaptive Neuro-Fuzzy Inference System and Decision Tree
by: Lyaghat Bozorgzadeh, et al.
Published: (2019-07-01) -
Application of Adaptive Neuro-Fuzzy Inference System for Prediction of Surface Roughness in Incremental Sheet Metal Forming Process
by: Aws K. Ibrahim, et al.
Published: (2015-02-01) -
Performance Forecasting of Sugarcane Fields using Adaptive Neuro-Fuzzy
Inference System (ANFIS)
by: Maryam Ahmadvand, et al.
Published: (2013-02-01) -
Prediksi Penjualan Barang Menggunakan Metode Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: Allyna Virrayyani, et al.
Published: (2016-12-01)