信阳师范学院学报（自然科学版）Issue(1)：127-132,6.DOI:10.3969/j.issn.1003-0972.2015.01.031
基于分频段ABAP谱减法的鸟叫声分类研究
Study of the Bird Sound Classification Based on ABAP Multi-band Spectral Subtraction
摘要
Abstract
To the bird sounds mixed with noises ,the estimation of noise is done by using the adaptive Bartlett aver-aging periodogram (ABAP), and noise reduction is made by using multi-band spectral subtraction, then the dynamic feature of Mel-frequency spectrum coefficients by two-dimensional discrete cosine transform (TDMFCC)was extracted. The comparison experiments of 30 bird sounds classification in different environments under different SNRs were con-structed based on the combination of SVM classifier and different features , namely MFCC, TDMFCC and MFCC, TDMFCC through ABAP multi-band spectral subtraction respectively .The results showed that the method of TDMFCC through ABAP multi-band spectral subtraction combined SVM can achieve better classification effect , which is very suitable for the bird sound classification in noisy environments .关键词
鸟叫声分类/自适应Bartlett平均周期图/分频段谱减法Key words
bird sound classification/adaptive bartlett averaging periodogram/multi-band spectral subtraction分类
信息技术与安全科学引用本文复制引用
张妍琰,刘建芳,郭力争..基于分频段ABAP谱减法的鸟叫声分类研究[J].信阳师范学院学报（自然科学版）,2015,(1):127-132,6.基金项目
河南省科技计划重点科技攻关项目 （）
