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Environmental effects on reliability and accuracy of MFCC based voice recognition for industrial human-robot-interaction
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Volume: 235, Issue: 12, Pages: 1939 - 1948
Swansea University Author: Christian Griffiths
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DOI (Published version): 10.1177/09544054211014492
Abstract
Collaborative robots are becoming increasingly important for advanced manufacturing processes. The purpose of this paper is to determine the capability of a novel Human-Robot-interface to be used for machine hole drilling. Using a developed voice activation system, environmental factors on speech re...
| Published in: | Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture |
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| ISSN: | 0954-4054 2041-2975 |
| Published: |
SAGE Publications
2021
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa56932 |
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| Abstract: |
Collaborative robots are becoming increasingly important for advanced manufacturing processes. The purpose of this paper is to determine the capability of a novel Human-Robot-interface to be used for machine hole drilling. Using a developed voice activation system, environmental factors on speech recognition accuracy are considered. The research investigates the accuracy of a Mel Frequency Cepstral Coefficients-based feature extraction algorithm which uses Dynamic Time Warping to compare an utterance to a limited, user-dependent dictionary. The developed Speech Recognition method allows for Human-Robot-Interaction using a novel integration method between the voice recognition and robot. The system can be utilised in many manufacturing environments where robot motions can be coupled to voice inputs rather than using time consuming physical interfaces. However, there are limitations to uptake in industries where the volume of background machine noise is high. |
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| Keywords: |
Cobots, dynamic time warping, industrial robots, MEL frequency cepstral coefficients, speech recognition, voice control, human-robot-interaction |
| College: |
Faculty of Science and Engineering |
| Issue: |
12 |
| Start Page: |
1939 |
| End Page: |
1948 |