基于TMS320C6713的语音识别系统设计

摘要

通过选用德州仪器公司带浮点功能的TMS320C6713DSP芯片作为系统核心处理器，结合MSP430单片机作为外围控制器，给出了一种实时语音识别系统的设计方法。该系统核心算法采用美尔频率倒谱系数作为特征参数进行特征提取和动态时间规整(DTW)算法进行模式匹配。通过编程调试，该系统具有良好的灵活性和实时性，在抗噪声、鲁棒性和识别率等方面有明显的提高。该系统在许多领域可作为实用化的一种参考。%　　Taking the TMS320C6713DSP with floating-point functions produced by Texas Instruments chip as the system core processor and the MSP430 microcontroller as a peripheral controller, a real-time speech recognition system is designed in the paper. The kernel algorithm for the system uses Mel-frequency cepstral coefficients as feature parameters for feature extraction and dynamic time warping (DTW) algorithm for pattern matching. Programming and debugging of the system indicate that the system has good flexibility and real-time capability and improves the performance in noise immunity, robustness and recognition rates. In many areas, it has a practical reference value.