Identification of Fake Stereo Audio Using SVM and CNN
نویسندگان
چکیده
The number of channels is one the important criteria in regard to digital audio quality. Generally, stereo with two can provide better perceptual quality than mono audio. To seek illegal commercial benefit, might convert a system fake Identifying stereo-faking lesser-investigated forensic issue. In this paper, faking corpus first presented, which created using Haas effect technique. Two identification algorithms for are proposed. One based on Mel-frequency cepstral coefficient features and support vector machines. other specially designed five-layer convolutional neural network. experimental results datasets five different cut-off frequencies show that proposed algorithm effectively detect has good robustness.
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ژورنال
عنوان ژورنال: Information
سال: 2021
ISSN: ['2078-2489']
DOI: https://doi.org/10.3390/info12070263