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Optimizing Voice Recognition Informatic Robots for Effective Communication in Outpatient Settings
Zuowei Meng1, Hairong Liu2, Alfred C Ma3
1Nursing, Outpatient Department, Peking University Shenzhen Hospital, Shenzhen, CHN.
Cureus
|October 9, 2023
Summary
This study enhances healthcare robots with voice recognition technology to differentiate patient age by vocal nuances. This improves human-robot communication and patient care in outpatient clinics.
Area of Science:
- Healthcare Technology
- Human-Robot Interaction
- Speech Processing
Background:
- Intelligent guidance robots in clinics face limitations in understanding patient nuances.
- Enhancing informatic robots with voice recognition can improve patient interaction.
Purpose of the Study:
- To integrate voice recognition into informatic robots for outpatient clinics.
- To analyze vocal patterns for age differentiation to improve human-robot communication.
Main Methods:
- Collected diverse voice samples across age groups.
- Extracted acoustic features (pitch, formants, MFCCs) using Mel Filterbank.
- Applied machine learning to match vocal patterns to age-related traits.
Main Results:
- Voice recognition significantly improved human-robot communication in clinics.
- Informatic robots accurately differentiated age via vocal nuances.
- Enhanced contextual understanding and tailored responses improved patient interactions.
Conclusions:
- Integrating voice recognition technology is a significant advancement for outpatient clinics.
- Age differentiation via vocal nuances improves response precision and relevance.
- This technology optimizes human-robot communication and patient care in evolving healthcare.
