Paper Title:
Acoustic Signal Recognition Based on Time Series Model
| Periodical | Advanced Materials Research (Volumes 189 - 193) |
|---|---|
| Main Theme | Manufacturing Process Technology |
| Edited by | Zhengyi Jiang, Shanqing Li, Jianmin Zeng, Xiaoping Liao and Daoguo Yang |
| Pages | 3243-3248 |
| DOI | 10.4028/www.scientific.net/AMR.189-193.3243 |
| Citation | Yu Quan Cui et al., 2011, Advanced Materials Research, 189-193, 3243 |
| Online since | February, 2011 |
| Authors | Yu Quan Cui, Le Jun Shi, Yu Wei Fang |
| Keywords | ARMA Model, ARTAFIT Model, Signal Recognition, Support Vector Machine (SVM), Time Series Model |
| Price | US$ 28,- |
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Abstract
Using time series model, isometric transformation time series model and ARTAFIT model, we deal with acoustic signal, obtaining different sets of parameters according to different acoustic signals. We use support vector machine (SVM) to recognize different acoustic signals by analyzing different sets of parameters. When the parameter set is too large, we should first reduce order making use of principal component analysis (PCA), then we can recognize them using support vector machine. In the end, we give a case study, which indicate the results of applying our models are satisfactory.
