| 语音信号的谱熵检测在车辆通信中的应用 |
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| 引用本文： | 姚屏,申群太,王俊年.语音信号的谱熵检测在车辆通信中的应用[J].中南大学学报(自然科学版),2005,36(5):858-862. |
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| 作者姓名： | 姚屏 申群太 王俊年 |
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| 作者单位： | 1. 中南大学,信息科学与工程学院,湖南,长沙,410083;湖南科技大学,电气与信息工程学院,湖南,湘潭,411201
2. 中南大学,信息科学与工程学院,湖南,长沙,410083 |
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| 摘 要： | 结合车辆通信中语音信号的特殊性, 利用傅里叶变换和最大离散熵定理, 对含强噪语音的短时频谱进行分析, 构造出一种熵函数来对语音信号进行语音/噪声的判决. 以一段语音信号为例进行仿真, 研究结果表明, 谱熵检测方法计算简单, 谱熵值和隔离度较大, 具有稳健的抗噪特性, 可以应用于车辆通信中语音信号的检测.
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| 关 键 词： | 车辆通信 语音检测 谱熵 快速傅里叶变换 |
| 文章编号： | 1672-7207(2005)05-0858-05 |
| 收稿时间： | 2004-11-07 |
| 修稿时间： | 2004年11月7日 |
Application of voice detection to vehicle communication based on spectral entropy |
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| YAO Ping,SHEN Qun-tai,WANG Jun-nian.Application of voice detection to vehicle communication based on spectral entropy[J].Journal of Central South University:Science and Technology,2005,36(5):858-862. |
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| Authors: | YAO Ping SHEN Qun-tai WANG Jun-nian |
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| Institution: | 1. School of Information Science and Engineering, Central South University, Changsha 410083, China; 2. College of Electrical and Information Engineering, H unan Science and Technology University, Xiangtan 411201, China |
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| Abstract: | Based on the character of vehicle communication and spectral entropy and fast fourier transform, an approach is introduced to voice detection that differs from normal approach via energy, correlation and zero-crossing rate. By measuring the gross shape of the short-term speech spectrum using spectral entropy to detect voice segment and silent segment, it is shown that the spectral entropy can be used effectively even in heavy background noise. A section voice is recorded to simulate. The results show that the approach via spectral entropy has good performance for anti-noise, and it can be applied to vehicle communication. |
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| Keywords: | vehicle communication voice detection spectral entropy fast Fourier transform |
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