Tamper Detection and Self Recovery of Speech Signals Based on Self Embedding, M.Sc. Thesis Sharif University of Technology ; Marvasti, Farrokh (Supervisor)
Abstract
There is a vast amount of publications in the literature on various types of tampering detection. In this thesis, we propose two methods for tampering detection and recovery of speech signals with WAV format. Due to redundancy of speech signals, the watermarking technique is utilized for this purpose. In embedder side,the watermark is generated using a similar version of the original signal. In first method, watermark is generated by the downsampled signal. Output of hash generator and some framing headers are used to detect the tampered region automatically. In second method, The original signal is compressed using a source encoder. The output is then packetized to detect the tampered...
Cataloging briefTamper Detection and Self Recovery of Speech Signals Based on Self Embedding, M.Sc. Thesis Sharif University of Technology ; Marvasti, Farrokh (Supervisor)
Abstract
There is a vast amount of publications in the literature on various types of tampering detection. In this thesis, we propose two methods for tampering detection and recovery of speech signals with WAV format. Due to redundancy of speech signals, the watermarking technique is utilized for this purpose. In embedder side,the watermark is generated using a similar version of the original signal. In first method, watermark is generated by the downsampled signal. Output of hash generator and some framing headers are used to detect the tampered region automatically. In second method, The original signal is compressed using a source encoder. The output is then packetized to detect the tampered...
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