吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (1): 274-280.doi: 10.13229/j.cnki.jdxbgxb201701040

• Orginal Article • Previous Articles     Next Articles

Source recording device recognition based on device noise estimation

ZOU Ling, HE Qian-hua, KUANG Xi-chao, LI Hong-tao, CAI Zi-wen   

  1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
  • Received:2015-09-03 Online:2017-01-20 Published:2017-01-20

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Abstract: To resolve this problem, first, the procedure of the speed recording is analyzed and a recording device fingerprint based on device noise is proposed. Then, a noise estimator including two noise estimation algorithms is applied to acquire sufficient device noise. Finally, to evaluate the effectiveness of the proposed device fingerprint, five classification techniques are utilized to identify the source recording device. Experiments are carried out on two corpora. One corpus comprises speech recordings obtained by 22 recording devices coming from four types of common recording devices, and the other corpus consists of speech recordings from 21 cell phones. Experiment results verify the effectiveness of the proposed method.

Key words: information processing, digital audio forensic, source recording device recognition, noise estimation

CLC Number: 

  • TN912.3
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