Vol.65, No.3, 2020, pp.2557-2570, doi:10.32604/cmc.2020.011241
OPEN ACCESS
ARTICLE
A Novel System for Recognizing Recording Devices from Recorded Speech Signals
  • Yongqiang Bao1, *, Qi Shao1, Xuxu Zhang1, Jiahui Jiang1, Yue Xie1, Tingting Liu1, Weiye Xu2
1 Nanjing Institute of Technology, Nanjing, 211167, China.
2 Department of Informatics, University of Leicester, Leicester, LE1 7RH, UK.
* Corresponding Author: Yongqiang Bao. Email: jybyq@163.com.
Received 28 April 2020; Accepted 16 August 2020; Issue published 16 September 2020
Abstract
The field of digital audio forensics aims to detect threats and fraud in audio signals. Contemporary audio forensic techniques use digital signal processing to detect the authenticity of recorded speech, recognize speakers, and recognize recording devices. User-generated audio recordings from mobile phones are very helpful in a number of forensic applications. This article proposed a novel method for recognizing recording devices based on recorded audio signals. First, a database of the features of various recording devices was constructed using 32 recording devices (20 mobile phones of different brands and 12 kinds of recording pens) in various environments. Second, the audio features of each recording device, such as the Mel-frequency cepstral coefficients (MFCC), were extracted from the audio signals and used as model inputs. Finally, support vector machines (SVM) with fractional Gaussian kernel were used to recognize the recording devices from their audio features. Experiments demonstrated that the proposed method had a 93.4% accuracy in recognizing recording devices.
Keywords
Recording device recognition, Mel-frequency cepstral coefficients, support vector machines.
Cite This Article
Bao, Y., Shao, Q., Zhang, X., Jiang, J., Xie, Y. et al. (2020). A Novel System for Recognizing Recording Devices from Recorded Speech Signals. CMC-Computers, Materials & Continua, 65(3), 2557–2570.
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