

浏览全部资源
扫码关注微信
福州大学数学与计算机科学学院,福建,福州,350108
Published:2015
移动端阅览
WEI Jing-ming, LI Ying. Rapid Bird Sound Recognition Using Anti-Noise Texture Features[J]. Acta Electronica Sinica, 2015, 43(1): 185-190.
WEI Jing-ming, LI Ying. Rapid Bird Sound Recognition Using Anti-Noise Texture Features[J]. Acta Electronica Sinica, 2015, 43(1): 185-190. DOI: 10.3969/j.issn.0372-2112.2015.01.029.
针对非平稳噪声下的鸟鸣声识别问题
提出一种利用抗噪纹理特征的快速鸟鸣声识别方法
该方法也解决了纹理特征提取过程中灰度共生矩阵(GLCM)占用空间大
以及计算量大、耗时的问题.该方法分三个步骤
首先
通过短时谱估计算法对鸟鸣声带噪功率谱进行音频增强;然后
采用和差统计法(SDH)对增强功率谱快速提取纹理特征;最后
由随机森林进行分类.在实验部分
设计了两组对比实验
结果表明
该方法有良好的识别性能、较少的时耗
且具有噪声鲁棒性.
In order to improve the accuracy of bird sound recognition under non-stationary noise
a rapid bird sound recognition method using anti-noise texture features was proposed.This method also solved the problem of big occupation space
as well as large computation
time-consuming of gray level co-occurrence matrix (GLCM) in extracting texture features.The method contained three steps.Firstly
short-time spectrum estimation was conducted on noise spectrum of bird sound to get the enhanced spectrum.Then
sum and difference histograms (SDH) were applied to calculate texture features rapidly.Finally
random forest (RF) was used to make classification.In the experiment part
two contrast experiments were designed.The results show that this method has good recognition performance
lesser time consumption;meanwhile
it is robust to noise.
0
Views
2
下载量
13
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621