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: .
Computers, Materials & Continua 2020, 65(3), 2557-2570. https://doi.org/10.32604/cmc.2020.011241
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
Cite This Article
Y. Bao, Q. Shao, X. Zhang, J. Jiang, Y. Xie
et al., "A novel system for recognizing recording devices from recorded speech signals,"
Computers, Materials & Continua, vol. 65, no.3, pp. 2557–2570, 2020. https://doi.org/10.32604/cmc.2020.011241