计算机技术与发展2011，Vol.21Issue(7)：246-249,4.
嵌入式语音识别系统特征参数提取研究
Research of Characteristic Parameters Extraction Based on Embedded Speech Recognition System
摘要
Abstract
The key points and difficulties of speech recognition is the technology of extracting the voice information accurately and efficiently in noisy environment. Applying this technology in embedded systems has some research significance. Through the comparative analysis of the traditional phonetics characteristic parameters extraction methods which are linear forecast cepstrum coefficients and Mel frequency cepstrum coefficients, proposed a new method in which through combining the method of Mel frequency cepstrum coefficients with first-order differential Mel frequency cepstrum coefficients ( MFCC + Δ MFCC ) to extract phonetic features parameters firstly, then take advantage of double threshold method to detect endpoint and use HMM model to do model matching,and the system design is carried on the ARMS3C2410 as the core of hardware and software. The experiments show that the system robustness, identification accuracy and efficiency of the system in this method got improved compared with the traditional method,and this method is suitable for noise environment of speech recognition.关键词
语音识别/线性预测倒谱系数/Mel频率倒谱系数/ARMS3C2410Key words
speech recognition/linear predictive cepstral coefficient/Mel frequency cepstral coefficient/ARMS3C2410分类
信息技术与安全科学引用本文复制引用
朱宇,宋艳..嵌入式语音识别系统特征参数提取研究[J].计算机技术与发展,2011,21(7):246-249,4.基金项目
映西省教育专项科研基金(陕教资2008-147号) （陕教资2008-147号）
