journal article·2025Open access

Enhancing User Experience in AI-Powered Human-Computer Communication with Vocal Emotions Identification Using a Novel Deep Learning Method

Ahmed Alhussen, Arshiya Sajid Ansari, Mohammad Sajid Mohammadi

Computers, Materials & Continua· Volume 82· Issue 2

Abstract

Voice, motion, and mimicry are naturalistic control modalities that have replaced text or display-driven control in human-computer communication (HCC). Specifically, the vocals contain a lot of knowledge, revealing details ab... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Emotion and Mood Recognition

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (21)

Show source-provided references
1. Human-computer interaction for recognizing speech emotions using multilayer perceptron classifier10.1155/2022/6005446 ↗
2. Federated learning meets human emotions: A decentralized framework for HCI for IoT applications10.1109/JIOT.2020.3037207 ↗
3. Deep learning for intelligent HCI10.3390/app122211457 ↗
4. Empathetic algorithms: The role of AI in understanding and enhancing human emotional intelligence10.52783/jes.1806 ↗
5. The effect of multimodal emotional expression on responses to a digital human during a self-disclosure conversation: A computational analysis of user language10.1007/s10916-020-01624-4 ↗
6. Research on the construction of human-computer interaction system based on a machine learning algorithm
7. Multimodal emotion recognition using deep learning10.38094/jastt20291 ↗
8. Young and old persons’ subjective feelings when facing with a non-human computer-graphics-based agent’s emotional responses in consideration of differences in emotion perception10.3389/fcomp.2024.1321977 ↗
9. Z. Yang, X. Jing, A. Triantafyllopoulos, M. Song, I. Aslan and B. W. Schuller, “An overview & analysis of sequence-to-sequence emotional voice conversion,” 2022. doi: 10.48550/arXiv.2203.15873.10.21437/Interspeech.2022-10636 ↗
10. Emotions in human-AI collaboration
11. Real-time facial expression recognition using convolutional neural networks for adaptive user interfaces
12. Enabling natural human-computer interaction through AI-powered nanocomposite IoT throat vibration sensor10.1109/JIOT.2024.3382101 ↗
13. HCI with real-time SER with ensembling techniques 1D convolution neural network and attention10.3390/s23031386 ↗
14. Human-computer communication using recognition and synthesis of facial expression10.2991/jrnal.k.210521.003 ↗
15. Design and implementation of human-computer interaction systems based on transfer support vector machine and EEG signal for depression patients’ emotion recognition
16. Human emotion recognition for enhanced performance evaluation in e-learning10.1007/s13748-022-00278-2 ↗
17. SER based on convolutional neural network
18. Composite emotion recognition and feedback of social assistive robot for elderly people
19. A scoping review of the literature on prosodic elements related to emotional speech in human-robot interaction
20. SER based on deep residual shrinkage network
21. TER-CA-WGNN: Trimodel emotion recognition using cumulative attribute-weighted graph neural network10.3390/app14062252 ↗