特定类型音频流泛化识别方法
A Generic Method of Recognizing Specific Type Audio Stream
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摘要: 提出一种基于Mel频率倒谱系数(MFCC)和AdaBoost算法的特定类型音频流泛化识别方法,通过分析特定类型音频流的子类别间的共性和差异性,利用共性特征进行泛化识别,能够准确地检测并定位音频流中特定类型的音频. 文中将枪声作为特定类型音频进行研究,通过提取各种枪声子类别的共性,弱化子类间的差异得到一个泛化的枪声模板,利用一个模板就可以支持多子类的准确识别. 实验结果表明,算法的识别准确率为87.6%,查全率达到91.8%.Abstract: To meet the security demand of audio information, a generic method of recognizing specific type audio stream based on MFCC and AdaBoost is proposed in this paper, which can detect and locate the specific audio fragment from the audio stream accurately. The generality and differences between subcategories of the audio stream was analyzed to achieve the generic recognition. Multi-type gunshot was considered as the specific type of audio stream. The generic template was obtained by extracting the common features and reducing the different features of the gunshot audio, which could support the accurate identification of multiple sub-classes. The experiments show that the recognition accuracy of the proposed method is 87.6% and the recall rate reaches 91.8%.
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