Localization of Copy-Move Forgery in Speech Signals Through Watermarking Using DCT-QIM

Digital speech copyright protection and forgery identification are the prevalent issues in our advancing digital world. In forgery, voiced part of signal is copied pasted to a specific location which alters meaning signal. Watermarking can be used safe guard copyrights owner. To detect copy-move forgeries transform domain watermarking method proposed. proposed method, achieved through Discrete Cosine Transform (DCT) Quantization Index Modulation (QIM) rule. Hash bits also inserted watermarked voice segments Copy-Move Forgery (CMF) signals. Proposed evaluated on two databases good imperceptibility. It exhibits robustness detecting watermark against processing attacks such as resample, low-pass filtering, jittering, compression cropping. The work contributes for forensics analysis This compared with some state-of-art methods.