Authors

Lalitha M

Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India

Kavya S

Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India

Lakshmi Priya A

Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India

Prabu Chakravarthy K

Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India

Abstract

This research article investigates the application of human speech recognition using Raspberry Pi (RPI) platform. Emotional intelligence is an important part of human-computer interaction and has many applications such as in medicine, entertainment, human-machine interface, etc. Raspberry Pi is an ideal platform for implementing these systems due to its low cost, portability, and versatility. This article discusses the importance of cognitive reasoning, the language of cognitive reasoning using Raspberry Pi, and experimental results. It also highlights the challenges encountered during implementation and suggests possible avenues for future research in this area. Overall, this research helps improve human-machine interaction by raising awareness about the use of such a simple and inexpensive technology as Raspberry Pi.

Keywords

Human Speech Emotions Recognition Algorithm Raspberry Pi human speech recognition Emotional intelligence human-computer human-machine interaction Machine learning Artificial intelligence.

Citation of this Article

Lalitha M, Kavya S, Lakshmi Priya A, & Prabu Chakravarthy K. (2024). Optimized Algorithm for Human Speech Emotions Recognition. Current Journal of Engineering and Science Research. 1(1), 10-17. Article DOI: https://doi.org/10.47001/CJESR/2024.101002

Licence Copyright (c) 2026 Current Journal of Engineering and Science Research. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

References