| 基于贝叶斯准则的话音与话带数据识别 |
| |
| 引用本文： | 向征,傅永根.基于贝叶斯准则的话音与话带数据识别[J].南京邮电大学学报(自然科学版),2004,24(1):64-67. |
| |
| 作者姓名： | 向征 傅永根 |
| |
| 作者单位： | 南京邮电学院,通信工程系,江苏,南京,210003 |
| |
| 摘 要： | 利用归一化自相关函数和归一化中心二阶距两个参数,基于贝叶斯准则来识别话音和话带数据。重点讨论了加性高斯白噪声及业务先验概率估计误差对识别率的影响。实验表明:在帧长32ms,信噪比30dB时,数据的识别率为98.17%,话音的识别率达到97.29%。
|
| 关 键 词： | 贝叶斯判别 话带数据 识别 |
| 文章编号： | 1000-1972(2004)01-0064-04 |
| 修稿时间： | 2003年9月7日 |
Voice and Voiceband Data Discrimination Based on Bayes Rule |
| |
| XIANG Zheng,FU Yong-gen.Voice and Voiceband Data Discrimination Based on Bayes Rule[J].Journal of Nanjing University of Posts and Telecommunications,2004,24(1):64-67. |
| |
| Authors: | XIANG Zheng FU Yong-gen |
| |
| Institution: | XIANG Zheng,FU Yong-genDepartment of Communication Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China |
| |
| Abstract: | This paper describes an algorithm to discriminate voice and voiceband data, utilizing normalized autocorrelation and the second-order moment of the signal. The algorithm is based on Bayes Rule.It focues on discussing the influence of additive white Gaussian noise and the estimation error of service prior probability. Experiments indicate that within a window of 32ms, the ratio of correct discrimination is 98.17% for voiceband data, and 97.29% for voice. |
| |
| Keywords: | Bayes discrimination Voiceband data Discriminate |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
