| 强噪声环境下自适应语音端点检测算法 |
| |
| 引用本文： | 林雪梅.强噪声环境下自适应语音端点检测算法[J].计算机工程与科学,2011,33(1):94-96. |
| |
| 作者姓名： | 林雪梅 |
| |
| 作者单位： | 湖南农业大学信息科学技术学院,湖南,长沙,410128 |
| |
| 基金项目： | 湖南省科技厅资助项目（2009nk3116） |
| |
| 摘 要： | 本文在分析基于短时能量的语音端点检测算法局限的基础上,引入短时信噪比SNR估计方法,并设计自适应的判决门限,提出一种自适应语音端点检测算法.通过对平稳高斯白噪声环境下信噪比从-10dB到20dB的带噪语音信号进行的仿真实验表明,所提方法能更为准确地检测到语音的端点.
|
| 关 键 词： | 端点检测 自适应 信噪比 判决准则 |
| 收稿时间： | 2010-05-20 |
| 修稿时间： | 2010-09-05 |
An Adaptive Voice Activity Detection Algorithm in Noisy Environments |
| |
| LIN Xue-mei.An Adaptive Voice Activity Detection Algorithm in Noisy Environments[J].Computer Engineering & Science,2011,33(1):94-96. |
| |
| Authors: | LIN Xue-mei |
| |
| Affiliation: | (School of Information Science and Technology,Hunan Agricultural University,Changsha 410128,China) |
| |
| Abstract: | The shortages of short time energy based voice activity detection method is analyzed first. Then a short time signal to noise ratio (SNR) estimation method is introduced, and a new adaptive voice activity detection algorithm is proposed based on the design of the adaptive discriminative threshold. Simulations with a lot of Gaussian noisy speech signals ranging from 10dB to 20dB show that the comparatively accurate speech endpoints can be detected by the proposed method in different SNR environments. |
| |
| Keywords: | voice activity detection adaptive signal to noise ratio discriminative rules |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与科学》浏览原始摘要信息 |
|
点击此处可从《计算机工程与科学》下载全文 |
|
