A Study On Echo Feature Extraction Based On The Modified Relative Spectra(RASTA) and Perception Linear Prediction(PLP) Auditory Model

摘要：

The more mature RASTA-PLP auditory mode in the field of speech recognition is presented to apply to the field of underwater target echo recognition. But also, According to the character of underwater target signal, The RASTA-PLP auditory mode is modified. Contrast to the PLP auditory model feature, the recognition ratio of the modified RASTA PLP auditory model feature is higher. The recognition ratio of the test samples can arrive 90.32％ by Fuzzy Adaptation Resonance Theory(FART) neural networks when the ratio of the sample numbers of training set to the testing sets is 1:10. After that, the Gauss white noise is convoluted with the signal At the equal test condition, the recognition ratio of the modified RASTA-PLP auditory model feature is 18％ higher than the PLP auditory model feature. It shows the modified RASTA-PLP auditory model feature is robust.

关键词： Rccognition Auditory Echo The Modified RASTA-PLP

作者: Peng Yuan Mu Lin Kong Xiangli Lin Zhengqing Wang Lei

作者单位: Science and Technology on Underwater Test and Control Laboratory Dalian 116013, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 657-661

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）