Improved speech recognition method for intelligent robot
改进的智能机器人语音识别方法

As a communication technology between man machine interactive technology, speech recognition is widely used. In this paper, we introduces the speech recognition system based on the 16 bit SPCE061A serial single chip and 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. The experimental results show that mixed feature parameter of LPCC and fractal dimension is better than single LPCC feature parameter in recognition rate.