A Speech Recognition Method Based on LPCC and Fractal Dimension for Mobile Robot
In this paper, we propose a speech recognition approach with mixed parameter, which combines the traditional Linear Predictive Cepstral Coefficients (LPCC) and fractal feature as the feature parameter. The LPCC method is linear procedure based on the assumption that speaker features have properties caused by the vocal tract resonances. Fractal dimension is used to quantitatively describe the chaos nonlinearity in speech air flow. Experimental results demonstrate this method is promising in improving speech recognition performance.
Speech Recognition LPCC Fractal Dimension Mobile Robot
Zhang Yi Li Yanhua Liu Quanjie Yang Hongmei Zeng Li
Research Center of Intelligent System and Robotics Chongqing University of Posts and Telecommunications Chongqing 400065, P.R.China
国际会议
2008 Sino-European Workshop on Intelligent Robots and Systems(SEIROS08)(第一届中欧智能系统及机器人国际学术研讨会)
重庆
英文
1-4
2008-12-11(万方平台首次上网日期,不代表论文的发表时间)