节点文献
基于DSP的嵌入式语音识别系统的研究与实现
Embedded Speech Recognition System Based on DSP
【摘要】 设计并实现了一个特定人、孤立词和小词汇量的嵌入式语音识别系统。系统硬件的核心芯片采用普遍使用的16位定点DSP芯片TMS320VC5416,软件上主要采用动态时间规整算法来实现语音识别。给出了系统整体的软硬件框架,并比较和分析了分别将线性预测倒谱参数和美尔频标倒谱参数作为语音特征参数时系统的性能,为语音识别的嵌入式应用提供了参考依据。
【Abstract】 A speaker dependent,isolated word and small vocabulary embedded speech recognition system is designed and implemented.TMS320VC5416 16-bit fixed-point DSP is adopted in its core processor of the hardware.Dynamic Time Warping(DTW) algorithm is chiefly used to implement the software.The hardware and software architectures of the system are presented.The performances of the system are compared and analyzed when the feature extraction is based on Linear Prediction Cepstrum Coefficient(LPCC) or Mel Frequency Cepstrum Coefficient(MFCC).The system is very useful for the embedded application of speech recognition system.
【Key words】 embedded; speech recognition; DSP; LPCC; MFCC;
- 【文献出处】 武汉理工大学学报(信息与管理工程版) ,Journal of Wuhan University of Technology(Information & Management Engineering) , 编辑部邮箱 ,2006年07期
- 【分类号】TN912.34
- 【被引频次】10
- 【下载频次】439