Automatic Cycle Identification in Speaker’s Speech Breathing Signals
Authors
Y. Ding, D.F Parham, G. Tchankwe, Y.H Ding
Corresponding Author
Y. Ding
Available Online June 2015.
- 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/).
Cite this article
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 -