Automatic Cycle Identification in Speaker’s Speech Breathing Signals

DOI

10.2991/cisia-15.2015.224How to use a DOI?

Keywords

respiration; speech breathing signal; cycle detection

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Y. Ding
AU  - D.F Parham
AU  - G. Tchankwe
AU  - Y.H Ding
PY  - 2015/06
DA  - 2015/06
TI  - Automatic Cycle Identification in Speaker’s Speech Breathing Signals
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 833
EP  - 836
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.224
DO  - 10.2991/cisia-15.2015.224
ID  - Ding2015/06
ER  -