| 基于频谱方差和谱减法的语音端点检测新算法 |
| |
| 引用本文： | 王路露,夏旭,冯璐,刘光灿.基于频谱方差和谱减法的语音端点检测新算法[J].计算机工程与应用,2014,50(8):194-197. |
| |
| 作者姓名： | 王路露 夏旭 冯璐 刘光灿 |
| |
| 作者单位： | 1.长沙学院 电子与通信工程系，长沙 410003
2.湖南安全技术职业学院 电气系，长沙 410151 |
| |
| 基金项目： | 湖南省科技计划(No.2013RS4047);湖南省教育厅科学研究项目(No.12C0483) |
| |
| 摘 要： | 针对低信噪比情况下频谱方差法对语音信号进行端点检测时准确率降低的问题，提出了一种结合频谱方差和谱减法的语音端点检测新算法。算法采用改进的谱减法对语音信号进行动态降噪处理，并依据得到的降噪后信号的频谱方差设置双门限值进行端点检测。仿真实验表明，该方法具有抗噪性好、自适应性强等优点，在低信噪比情况下检测的准确率与普通的频谱方差法相比有很大的提高。
|
| 关 键 词： | 端点检测 频谱方差 谱减法 语音识别 |
New speech endpoint detection algorithm based on spectrum variance and spectral subtraction |
| |
| WANG Lulu;XIA Xu;FENG Lu;LIU Guangcan.New speech endpoint detection algorithm based on spectrum variance and spectral subtraction[J].Computer Engineering and Applications,2014,50(8):194-197. |
| |
| Authors: | WANG Lulu;XIA Xu;FENG Lu;LIU Guangcan |
| |
| Affiliation: | 1.Department of Electronic and Communication, Changsha University, Changsha 410003, China
2.Department of Electronics and Communication, Hunan Vocational College of Security Technology, Changsha 410151, China |
| |
| Abstract: | In order to improve correctness of endpoint detection method based on spectrum variance in the case of low Signal Noise Rate（SNR）, this paper proposes a new speech endpoint detection algorithm based on combination spectrum variance with spectral subtraction. It reduces speech signal noise dynamically by using modified spectral subtraction and calculates its variance to set double-threshold in endpoint detection. Simulation results indicate that the proposed algo-rithm has advantages of high noise-robust and adaptive performance. Furthermore, it has better detection capability than spectrum variance method in the case of low SNR. |
| |
| Keywords: | endpoint detection spectrum variance spectral subtraction speech recognition |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载全文 |
