Copy-Move Audio Forgery Detection with Instantaneous Frequency

Recently, the development of technology and access to this technology facilitates the possibility of easier access to data in the digitalized world and making effortless changes to the data reached. In this study, a new approach was proposed to copy a part of the audio to the same audio and to determine the forgery obtained by applying various attacks. In the proposed method, the speech recording is divided into syllables by using the Pitch Tracking method, and the Instantaneous frequency feature is extracted from these parts. Before comparing similarity, the Pitch sequences of syllable segment pairs are examined. The equal number of amplitude m value of the first Pitch series determined by experimental studies is obtained and these values are sought in the second Pitch series. If the n element from the first series is found in the second series, the similarity between syllable segment pairs is examined. The minimum Dynamic Time Warping score calculated between syllable regions gives an idea about the location of the copied and pasted areas. The proposed method showed 0.89 precision, 0.87 recall, and 0.87 F-score metrics despite noise, compression, and median filter attacks.