| 基于ZCPA和DHMM的孤立词语音识别系统 |
| |
| 引用本文： | 赵姝彦,张雪英,焦志平.基于ZCPA和DHMM的孤立词语音识别系统[J].太原理工大学学报,2005,36(3):246-249. |
| |
| 作者姓名： | 赵姝彦 张雪英 焦志平 |
| |
| 作者单位： | 太原理工大学,信息工程学院,山西,太原,030024 |
| |
| 基金项目： | 国家自然科学基金(60472094)，教育部留学回国科研基金(教外司留[2004]176 号)，山西省留学回国人员科研基金(No.200224)，山西省高等学校青年学术带头人科研基金(晋教科[2004]13号) |
| |
| 摘 要： | 介绍了用离散隐马尔可夫模型(DHMM)构造孤立词语音识别系统的过程,重点针对软件实现中的问题重新推导了Baum Welch算法的重估公式,引入一种抗噪性能很好的特征参数:过零率与峰值幅度特征,将该特征与DHMM结合用于孤立词识别系统。结果表明,此系统训练时收敛很快并且识别效果好。
|
| 关 键 词： | 语音识别 隐马尔可夫模型 特征提取 |
| 文章编号： | 1007-9432(2005)03-0246-04 |
| 修稿时间： | 2004年10月14 |
A Speech Recognition System of Isolated Words Based on ZCPA and DHMM |
| |
| ZHAO SHu-yan,ZHANG Xue-ying,JIAO Zhi-ping.A Speech Recognition System of Isolated Words Based on ZCPA and DHMM[J].Journal of Taiyuan University of Technology,2005,36(3):246-249. |
| |
| Authors: | ZHAO SHu-yan ZHANG Xue-ying JIAO Zhi-ping |
| |
| Abstract: | This paper described the whole process of building a speech recognition system of isolated words using discrete HMM(Hidden Markov Model) and derived the reestimate formula of Baum-Welch algorithm again with respect to the problems in the process of software implement. This paper also introduced a kind of feature parameter which has excellent anti-noise capability: ZCPA feature. Combining this kind of feature with DHMM can form a recognition system of isolated words. The experiment showed that it can converge rapidly in system training process and the recognition results are satisfactory. |
| |
| Keywords: | speech recognition Hidden Markov Model feature extract |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
