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Author: JiYeoun Lee

Affiliation: Jungwon University, Korea, Republic of

Keyword(s): Elderly Voice, Auto-correlation Function, Average Magnitude Difference Function, Symmetric Higher Order Differential Energy Operator, Voice Activity Detection.

Abstract: In the elderly voice, a large amount of noise is generated by physiological changes such as respiration, vocalization, and resonance according to age. So it provides a cause for performance degradation when operating a fusion healthcare device such as voice recognition, synthesis, and analysis software with elderly voice. Therefore, it is necessary to analyze and research the voice of elderly people so that they can operate various healthcare devices with their voices. This study investigated the voice activity detection algorithm for the elderly voice using the existing symmetric higher order differential energy function. And it is confirmed that it has better performance in detection of voice interval in the elderly voice compared with the autocorrelation function and average magnitude difference function method. The voice activity detection proposed in this paper can be applied to the voice interface for the elderly, thereby improving the accessibility of the elderly to the smart device. Furthermore, it is expected that the performance improvement and development of various fusion wearable devices for the elderly will be possible. (More)

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Paper citation in several formats:
Lee, J. (2017). Comparison among Voice Activity Detection Methods for Korean Elderly Voice. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOSIGNALS; ISBN 978-989-758-212-7; ISSN 2184-4305, SciTePress, pages 231-235. DOI: 10.5220/0006237502310235

@conference{biosignals17,
author={JiYeoun Lee},
title={Comparison among Voice Activity Detection Methods for Korean Elderly Voice},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOSIGNALS},
year={2017},
pages={231-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006237502310235},
isbn={978-989-758-212-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOSIGNALS
TI - Comparison among Voice Activity Detection Methods for Korean Elderly Voice
SN - 978-989-758-212-7
IS - 2184-4305
AU - Lee, J.
PY - 2017
SP - 231
EP - 235
DO - 10.5220/0006237502310235
PB - SciTePress

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