Chen, X. orcid.org/0009-0006-4900-6624, Sun, K. and Yuan, H. (2022) Research on Health Monitoring based on Speech Signal Analysis Technology. International Core Journal of Engineering, 8 (2). 44. pp. 345-355. ISSN: 2414-1895
Abstract
This paper aims to explore the technical application and implementation of speech recognition algorithm in health monitoring system. Speech recognition mainly uses DTW algorithm and MFCC algorithm, and cooperates with the collection and analysis of datasets to realize the extraction of user speech features and the recognition of health status. This paper will introduce the relevant background knowledge and concepts of speech recognition, analyse and explain the implementation of the algorithm, support the results and efficiency of the algorithm through MATLAB simulation, and finally discuss the advantages, disadvantages and application prospects of this research.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Editors: |
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| Keywords: | Speech Recognition; Health Monitoring; DTW Algorithm; MFCC Algorithm; MATLAB |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
| Date Deposited: | 15 Jan 2026 10:00 |
| Last Modified: | 15 Jan 2026 15:37 |
| Published Version: | https://icj-e.org/index.php/ojs/v8n2 |
| Status: | Published |
| Publisher: | Boya Century Publishing |
| Identification Number: | 10.6919/ICJE.202202_8(2).0044 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:236117 |

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