| 一种基于多特征的带噪语音信号端点检测与音节分割算法 |
| |
| 引用本文： | 卢艳玲,侯榆青,王宾,唐升,史燕.一种基于多特征的带噪语音信号端点检测与音节分割算法[J].电声技术,2005(7):60-62. |
| |
| 作者姓名： | 卢艳玲 侯榆青 王宾 唐升 史燕 |
| |
| 作者单位： | 西北大学,电子科学系,陕西,西安,710069 |
| |
| 摘 要： | 语音信号的端点检测和音节分割直接决定语音识别率。在传统方法的基础上提取语音信号的多个特征参数，并综合利用各个参数的特性进行检测和分割，提高了端点检测和音节分割的准确度。
|
| 关 键 词： | 端点检测 音节分割 自相关函数 |
| 文章编号： | 1002-8684(2005)07-0060-03 |
| 收稿时间： | 2005-04-12 |
| 修稿时间： | 2005年4月12日 |
An Endpoint Detection and Syllable Separation Algorithm Based on Multi-characteristic for Noisy Speech Signal |
| |
| LU Yan-ling,HOU Yu-qing,WANG Bin,TANG Sheng,SHI Yan.An Endpoint Detection and Syllable Separation Algorithm Based on Multi-characteristic for Noisy Speech Signal[J].Audio Engineering,2005(7):60-62. |
| |
| Authors: | LU Yan-ling HOU Yu-qing WANG Bin TANG Sheng SHI Yan |
| |
| Abstract: | The endpoint detection of speech signal is an important step in speech recognition. It determines directly the recognition rate. Several characteristic parameters of speech signal are extracted based on the traditional methods for endpoint detection and syllable separation, and the accuracy of endpoint detection and syllable separation is improved. |
| |
| Keywords: | endpoint detection syllable separation autocorrelation function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
