A survey on emotion recognition for human robot interaction

SN Mohammed, AKA Hassan - Journal of computing and information …, 2020 - hrcak.srce.hr
Sažetak With the recent developments of technology and the advances in artificial intelligent
and machine learning techniques, it becomes possible for the robot to acquire and show the …

[PDF][PDF] Artificial neural network based emotion classification and recognition from speech

M Iqbal, SA Raza, M Abid, F Majeed… - International Journal of …, 2020 - researchgate.net
Emotion recognition from speech signals is still a challenging task. Hence, proposing an
efficient and accurate technique for speech-based emotion recognition is also an important …

A Wavelet Transform Based Scheme to Extract Speech Pitch and Formant Frequencies

SH Goki, M Ghazvini, S Hamzenejadi - arXiv preprint arXiv:2209.00733, 2022 - arxiv.org
Pitch and Formant frequencies are important features in speech processing applications.
The period of the vocal cord's output for vowels is known as the pitch or the fundamental …

Automatic Schizophrenia Detection Using Discrete Wavelet Transform from EEG Signal

S Bhadra, CJ Kumar - NIELIT's International Conference on …, 2024 - Springer
This study investigates the integration of Discrete Wavelet Transform (DWT) with both
machine learning (ML) and deep learning (DL) techniques to enhance the diagnosis of …

[PDF][PDF] Classroom student emotions classification from facial expressions and speech signals using deep learning

A Sharma, V Mansotra - International Journal of Recent Technology …, 2019 - academia.edu
Classroom environment is a competent platform for the students to learn and improve their
understanding of the subject. An instructor's primary responsibility lies in managing the …