Copy and Move Detection in Audio Recordings using Dynamic Time Warping Algorithm
Kasi prasad Mannepalli1, Pelluri vamsi Krishna2, Kovi Vamsi Krishna3, Kodali Rama Krishna4
1Kasiprasad Mannepalli*, Department of Electronics and Communication, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Andhra Pradesh, India.
2Pelluri vamsi Krishna, Department of Electronics and Communication, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Andhra Pradesh, India.
3Kovi vamsi Krishna, Department of Electronics and Communication, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur (Dist), Andhra Pradesh, India.
4Kodali rama Krishna, Department of Electronics and Communication, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur (Dist), Andhra Pradesh, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 2244-2249 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6678129219/2019©BEIESP | DOI: 10.35940/ijitee.B6678.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Copy and move forgery technique is a versatile technique used by criminals to change the evidences unlawfully. This is done by removing or adding the segments of an audio recording from another audio using simple software tools . Now a-days in courts and forensics lab we use digital audio or speech as proof of evidence. With the advancement in digital software and technology it is made possible to modify the original audio data and tamper with it. In this paper we are using a robust method of copy and move detection using MFCC and Dynamic time warping which is robust against several kinds of regularly used post-processing actions and background noise, which highlights its promising potential of the suggested method as an audio tampering detection tool in various practical forensics applications with help of DTW. The proposed method is giving good outcome in differentiating the original sequences and forged sequences. This is done and implemented in mat lab. Copy and move forgery technique is a versatile technique used by criminals to change the evidences unlawfully. This is done by removing or adding the segments of an audio recording from another audio using simple software tools . Now a-days in courts and forensics lab we use digital audio or speech as proof of evidence. With the advancement in digital software and technology it is made possible to modify the original audio data and tamper with it. In this paper we are using a robust method of copy and move detection using MFCC and Dynamic time warping which is robust against several kinds of regularly used post-processing actions and background noise, which highlights its promising potential of the suggested method as an audio tampering detection tool in various practical forensics applications with help of DTW. The proposed method is giving good outcome in differentiating the original sequences and forged sequences. This is done and implemented in mat lab.
Keywords: Audio forensics, Dynamic time warping, MFCC, Speech forgeries, ZCR.
Scope of the Article: Algorithm Engineering