Automatic cycle identification in speaker's speech breathing signals

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Authors
Ding, Yanwu
Tchankwe, Georges
Parham, Douglas F.
Ding, Y. H.
Issue Date
2015-05
Type
Conference paper
Language
en_US
Keywords
Respiration , Speech breathing signal , Cycle detection
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Abstract

Due to the complexity in respiratory signals, an experienced coder is often required to identify the acceptable cycles and mark the start and end times for each cycle. This algorithm is an important step toward timely identification and coding of more complex respiratory signals and more efficient analysis for physiological signals. Simulation results have shown that the proposed algorithm can identify cycles correctly and efficiently.

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© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
Citation
Ding, Yanwu; Tchankwe, Georges; Parham, Douglas F.; Ding, Y. H. 2015. Automatic cycle identification in speaker's speech breathing signals. Proceedings of the International Conference on Computer Information Systems and Industrial Applications (CISIA 2015), vol. 18:pp 833-836
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Atlantis Press
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ISSN
2352-538X
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