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Endorsement to audio recorded in different acoustic environment with feature as reverberation time with blind reverberation time estimation method

机译:在不同声学环境中记录的音频的认可,具有盲混响时间估计方法的混响时间作为混响时间

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Recorded Audio location authentication is required when we want to clarify any evidence as recording of an event; audio recording rely on the different aspect like structure, composition, geometry of the audio recording and also a recording device. To authenticate the recording we need to consider many features of event happened. Audio sample remove background noise using spectral subtraction method, second extract the reverberation time of audio sample using tail selection blind reverberation time estimation method. Previous method for authentication of audio sample Sabin and Erying approach for geometric construction of acoustic environment, Electrical network frequency Effective against cut and paste attack, Time Domain analysis based Effective to find editing and compression attacks. Whereas Blind Reverberation time estimation gives effective classification of acoustic environment, as reverberation time depends on acoustic environment for classification Euclidean distance gives well performance of classification. Blind reverberation calculate reverberation time using tail selection approach as tail of audio sample gives more accurate reverberation time.
机译:当我们想要澄清任何证据作为录制事件时,需要录制的音频位置认证;音频录制依靠不同方面,如结构,组成,音频记录的几何形状以及记录设备。要验证记录,我们需要考虑发生的许多功能。音频样本采用光谱减法方法去除背景噪声,第二种提取音频样本的混响时间使用尾部选择盲混响时间估计方法。以前的音频样本Sabin认证方法和用于声学环境的几何构建的Erying方法,电网频率对切割和粘贴攻击有效,基于时间域分析找到编辑和压缩攻击。然而,盲混响时间估计为声学环境提供有效分类,因为混响时间取决于分类欧几里德距离的声学环境提供了分类的良好性能。由于音频样本的尾部,使用尾部选择方法计算混响时间来计算混响时间,提供更准确的混响时间。

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