计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
3期
190-193,220
,共5页
多频带减谱法%生态环境声音分类%Mel频率倒谱系数%支持向量机
多頻帶減譜法%生態環境聲音分類%Mel頻率倒譜繫數%支持嚮量機
다빈대감보법%생태배경성음분류%Mel빈솔도보계수%지지향량궤
multi-band spectral subtraction%eco-environment sounds classification%Mel frequency cepstrum coefficients%Support Vector Machine(SVM)
基于人类听觉特性的Mel频率倒谱系数广泛用于声音识别，然而在生态环境中噪声的出现导致其识别率剧减。提出一种在噪声背景下生态环境声音分类方法。利用非线性多频带谱减法对声音功率谱进行去噪处理并提取改进Mel频率倒谱系数，有效削弱不同频率段噪声功率谱干扰。利用支持向量机良好的鲁棒性和抗噪能力对含有噪声的生态环境声音进行分类。实验表明该方法能有效在噪声背景下对生态环境声音准确分类。
基于人類聽覺特性的Mel頻率倒譜繫數廣汎用于聲音識彆，然而在生態環境中譟聲的齣現導緻其識彆率劇減。提齣一種在譟聲揹景下生態環境聲音分類方法。利用非線性多頻帶譜減法對聲音功率譜進行去譟處理併提取改進Mel頻率倒譜繫數，有效削弱不同頻率段譟聲功率譜榦擾。利用支持嚮量機良好的魯棒性和抗譟能力對含有譟聲的生態環境聲音進行分類。實驗錶明該方法能有效在譟聲揹景下對生態環境聲音準確分類。
기우인류은각특성적Mel빈솔도보계수엄범용우성음식별，연이재생태배경중조성적출현도치기식별솔극감。제출일충재조성배경하생태배경성음분류방법。이용비선성다빈대보감법대성음공솔보진행거조처리병제취개진Mel빈솔도보계수，유효삭약불동빈솔단조성공솔보간우。이용지지향량궤량호적로봉성화항조능력대함유조성적생태배경성음진행분류。실험표명해방법능유효재조성배경하대생태배경성음준학분류。
Mel frequency cepstrum coefficients, motivated by human auditory, are widely used for sound recognition, while in the ecological environment the presence of the noise causes its recognition rate to drop quickly. This paper presents a method for the classification of natural sounds in noise environment. Multi-band spectral subtraction method is proposed to reduce the noise for extracting MFCC, which effectively weakens audio noise disturbance. In addition, it introduces SVM classification model to classify the sound with noise owing to its better noise immunity and robustness. Experimental results show that this method can be used to classify ecological environmental sounds accurately.
