Non intrusive codec identification algorithm

Non intrusive codec identification algorithm
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非侵入式编解码识别算法

DOI：
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发表时间：
2012
期刊：
IEEE International Conference on Acoustics, Speech, and Signal Processing
影响因子：
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通讯作者：
M. Brookes
M. Brookes
中科院分区：
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文献类型：
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作者：
D. Sharma;P. Naylor;N. Gaubitch;M. Brookes

文献摘要

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提出了一种在存在背景噪声的情况下非侵入式数据驱动的编解码检测和识别方法。该方法使用多个语音特征，然后使用这些特征来训练CART分类器。我们使用几种不同的噪声类型在较宽的信噪比范围内演示了该方法的性能。实验结果表明，在-5dBSNR下，我们可以识别出92%的编解码器及其比特率，并且能够以97%的准确率检测到编解码器的存在。
We present a non-intrusive data driven method for codec detection and identification in the presence of background noise. The method uses a number of speech features which are then used to train a CART classifier. We demonstrate the performance of the method using several different noise types over a wide range of SNRs. Our results show that we can identify a codec and its bit rate to an accuracy of 92% and we are able to detect the presence of a codec with an accuracy of 97% at -5 dB SNR.