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电子学报  2013 

利用抗噪幂归一化倒谱系数的鸟类声音识别

DOI: 10.3969/j.issn.0372-2112.2013.02.014, PP. 295-300

Keywords: 鸟类声音识别,非平稳噪声估计,多频带谱减法,抗噪幂归一化倒谱系数,Mel频率倒谱系数

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Abstract:

针对真实环境中各种背景噪声下的鸟类声音识别问题,提出了一种基于新型抗噪特征提取的鸟类声音识别技术.首先,根据适用于高度非平稳环境下的噪声估计算法求出噪声功率谱.其次,使用多频带谱减法对声音功率谱进行降噪处理.接着,结合降噪的声音功率谱提取抗噪幂归一化倒谱系数(APNCC).最后,采用支持向量机(SVM)分别对提取的APNCC,幂归一化倒谱系数(PNCC)和Mel频率倒谱系数(MFCC)对34种鸟类声音进行不同环境和信噪比情况下的对比实验.实验表明,提取的APNCC具有较好的平均识别效果及较强的噪声鲁棒性,更适用于信噪比低于30dB环境下的鸟类声音识别.

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