信阳师范学院学报（自然科学版）
信暘師範學院學報（自然科學版）
신양사범학원학보（자연과학판）
JOURNAL OF XINYANG NORMAL UNIVERSITY(NATURAL SCIENCE EDITION)
2015年
1期
127-132
,共6页
鸟叫声分类%自适应Bartlett平均周期图%分频段谱减法
鳥叫聲分類%自適應Bartlett平均週期圖%分頻段譜減法
조규성분류%자괄응Bartlett평균주기도%분빈단보감법
bird sound classification%adaptive bartlett averaging periodogram%multi-band spectral subtraction
针对带噪鸟叫声，用自适应Bartlett平均周期图（ ABAP）完成噪声估计，进行分频段谱减去噪后，提取经过二维离散余弦变换的Mel频率倒谱系数动态声音特征（TDMFCC）。最后，利用支持向量机（SVM）分别结合MFCC、TDMFCC以及经过分频段ABAP谱减法降噪后的MFCC和TDMFCC对30种鸟叫声进行不同背景环境和信噪比情况下的对比实验。结果表明，分频段ABAP谱减法降噪后提取TDMFCC结合SVM的方法可以取得较好的分类效果，适用于噪声环境下的鸟叫声分类。
針對帶譟鳥叫聲，用自適應Bartlett平均週期圖（ ABAP）完成譟聲估計，進行分頻段譜減去譟後，提取經過二維離散餘絃變換的Mel頻率倒譜繫數動態聲音特徵（TDMFCC）。最後，利用支持嚮量機（SVM）分彆結閤MFCC、TDMFCC以及經過分頻段ABAP譜減法降譟後的MFCC和TDMFCC對30種鳥叫聲進行不同揹景環境和信譟比情況下的對比實驗。結果錶明，分頻段ABAP譜減法降譟後提取TDMFCC結閤SVM的方法可以取得較好的分類效果，適用于譟聲環境下的鳥叫聲分類。
침대대조조규성，용자괄응Bartlett평균주기도（ ABAP）완성조성고계，진행분빈단보감거조후，제취경과이유리산여현변환적Mel빈솔도보계수동태성음특정（TDMFCC）。최후，이용지지향량궤（SVM）분별결합MFCC、TDMFCC이급경과분빈단ABAP보감법강조후적MFCC화TDMFCC대30충조규성진행불동배경배경화신조비정황하적대비실험。결과표명，분빈단ABAP보감법강조후제취TDMFCC결합SVM적방법가이취득교호적분류효과，괄용우조성배경하적조규성분류。
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 .
