现代电子技术Issue(12)：12-15,4.
基于TEO-DCT和缺失特征的瞬态声识别
Transient sound recognition based on TEO-DCT and missing features
李亚兵 1尹雪飞 1陈克安2
作者信息
- 1. 西北工业大学 电子信息学院，陕西 西安 710129
- 2. 西北工业大学 航海学院，陕西 西安 710072
- 折叠
摘要
Abstract
To solve the problem of performance degradation of the automatic recognition system applied to the transient sounds in the noisy environment,a method combining Teager energy operator(TEO)with discrete cosine transform(DCT)is adopted at front⁃end of the automatic recognition system to suppress the noise. At the same time,the missing feature marginaliza⁃tion algorithm based on the Gaussian mixture model(GMM)is used to achieve automatic classification. The experimental results show that the method can obviously improve the recognition performance of the system in noisy environment.关键词
Teager能量算子/离散余弦变换/缺失特征/高斯混合模型Key words
Teager energy operator/discrete cosine transform/missing feature/Gaussian mixture model分类
信息技术与安全科学引用本文复制引用
李亚兵,尹雪飞,陈克安..基于TEO-DCT和缺失特征的瞬态声识别[J].现代电子技术,2015,(12):12-15,4.
