Variational mode decomposition based acoustic and entropy features for speech emotion recognition
Automated speech emotion recognition (SER) is a machine-based method for identifying
emotion from speech signals. SER has many practical applications, including improving …
emotion from speech signals. SER has many practical applications, including improving …
Speech emotion recognition using mfcc-based entropy feature
The prime objective of speech emotion recognition is to accurately recognize the emotion
from the speech signal. It is a challenging task to accomplish. Speech emotion recognition …
from the speech signal. It is a challenging task to accomplish. Speech emotion recognition …
Speech emotion classification using feature-level and classifier-level fusion
Emotion plays a vital role in every living being. Understanding emotion is a very complex
task for everyone, but if possible, it will work like a miracle to solve thousands of problems …
task for everyone, but if possible, it will work like a miracle to solve thousands of problems …
[HTML][HTML] Feature-Enhanced Multi-Task Learning for Speech Emotion Recognition Using Decision Trees and LSTM
C Wang, X Shen - Electronics, 2024 - mdpi.com
Speech emotion recognition (SER) plays an important role in human-computer interaction
(HCI) technology and has a wide range of application scenarios in medical medicine …
(HCI) technology and has a wide range of application scenarios in medical medicine …
MaxMViT-MLP: Multiaxis and Multiscale Vision Transformers Fusion Network for Speech Emotion Recognition
KL Ong, CP Lee, HS Lim, KM Lim, A Alqahtani - IEEE Access, 2024 - ieeexplore.ieee.org
Vision Transformers, known for their innovative architectural design and modeling
capabilities, have gained significant attention in computer vision. This paper presents a dual …
capabilities, have gained significant attention in computer vision. This paper presents a dual …
Identification of Parkinson's disease from speech signal using machine learning approach
Parkinson's disease (PD) is a neurodegenerative condition of the nervous system that
impairs movement caused by brain cell degeneration and it is most common after …
impairs movement caused by brain cell degeneration and it is most common after …
Hilbert-Huang Transform-Based Time-Frequency Analysis of Speech Signals for the Identification of Common Cold
The current advancements in machine learning research pertaining to speech and health
are highly interesting. One aspect of speech-processing research that is gaining popularity …
are highly interesting. One aspect of speech-processing research that is gaining popularity …
Speech emotion recognition using a combination of variational mode decomposition and Hilbert transform
The objective of automated speech emotion recognition (SER) is to recognize each emotion
of the speech signal uniquely and efficiently using machines like computers, mobile devices …
of the speech signal uniquely and efficiently using machines like computers, mobile devices …
Speech Emotion Recognition using Spectral Images and Convolutional Neural Network
Employing a computer for automatic speech-emotion identification is a formidable and
intricate undertaking. Speech emotion recognition (SER) has gained significant popularity …
intricate undertaking. Speech emotion recognition (SER) has gained significant popularity …
Empirical Mode Decomposition Based Detection of Common Cold Using Speech Signal
This study investigates the discrimination between cold speech and healthy speech using
features based on empirical mode decomposition (EMD). The EMD is employed to break …
features based on empirical mode decomposition (EMD). The EMD is employed to break …