[HTML][HTML] A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition
ES Salama, RA El-Khoribi, ME Shoman… - Egyptian Informatics …, 2021 - Elsevier
Nowadays, human emotion recognition is a mandatory task for many human machine
interaction fields. This paper proposes a novel multi-modal human emotion recognition …
interaction fields. This paper proposes a novel multi-modal human emotion recognition …
[PDF][PDF] An improved speech emotion classification approach based on optimal voiced unit
Emotional speech recognition (ESR) has significant role in human-computer interaction.
ESR methodology involves audio segmentation for selecting units to analyze, extract …
ESR methodology involves audio segmentation for selecting units to analyze, extract …
[PDF][PDF] Breaking the Code: An Investigation on The Vocal Registers of Malaysia's National Songstress Puan Sri Saloma.
NFN Abu Bakar, MF Zamani - Wacana Seni Journal of Arts …, 2023 - researchgate.net
Investigations on vocal registers have been a great subject of debate. Early vocal
pedagogues and scholars like Bacilly (1668–1690) and Behnke (1836–1892) paved the …
pedagogues and scholars like Bacilly (1668–1690) and Behnke (1836–1892) paved the …
Emotion Recognition in Speech: Conventional Test-Train Approach and Pseudo Transfer Learning Strategies
A Anilkumar, V Yadukrishnan - 2024 IEEE Recent Advances …, 2024 - ieeexplore.ieee.org
Speech emotion recognition (SER) is a pivotal component of human-computer interaction.
This research attempts to utilize Mel Frequency Cepstral Coefficients (MFCC) to devise a …
This research attempts to utilize Mel Frequency Cepstral Coefficients (MFCC) to devise a …
Unveiling Age-Related Patterns in Vocal Expression of Emotions: A Machine Learning Approach with Mel and Gammatone Frequency Cepstral Coefficients
The significance of emotional assessment has gained increasing recognition across diverse
fields, such as psychology, healthcare, education, and social sciences. It is deemed crucial …
fields, such as psychology, healthcare, education, and social sciences. It is deemed crucial …
[HTML][HTML] Анализ исследований эмоциональной идентификации у детей с задержкой психического развития: литературный обзор
ВР Ушакова - Известия Российского государственного …, 2021 - cyberleninka.ru
В статье представлен анализ отечественных и зарубежных исследований по
проблеме эмоциональной идентификации у детей с задержкой психического развития …
проблеме эмоциональной идентификации у детей с задержкой психического развития …
[PDF][PDF] Egyptian Informatics Journal
abstract Recently, the Internet of Things (IoT) has played key roles in every aspect of daily
routine tasks. IoT applications suffer from higher latency and limited network bandwidth in …
routine tasks. IoT applications suffer from higher latency and limited network bandwidth in …
Examining the role of Diverted Attention on Musical Motion Aftereffects
HD Cormier - 2021 - ir.lib.uwo.ca
Previous studies have observed visual motion aftereffects (MAE) following prolonged
exposure to both auditory and visual stimuli. As the importance of attention for MAE …
exposure to both auditory and visual stimuli. As the importance of attention for MAE …
[PDF][PDF] Speech/music Change Point Detection using PLP and SVM
R Thiruvengatanadhan - academia.edu
An audio clip can consist of several classes. It can consist of speech and music which is
typical in radio broadcasting. A human listener can easily distinguish audio signals into …
typical in radio broadcasting. A human listener can easily distinguish audio signals into …
[PDF][PDF] 音響情報および言語情報の統合による次元的音声感情認識
BT Atamja - 2021 - dspace.jaist.ac.jp
JAIST Repository Page 1 Japan Advanced Institute of Science and Technology JAIST
Repository https://dspace.jaist.ac.jp/ Title 音響情報および言語情報の統合による次元的音声感情 …
Repository https://dspace.jaist.ac.jp/ Title 音響情報および言語情報の統合による次元的音声感情 …