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Tamper Detection and Self Recovery of Speech Signals Based on Self Embedding

Kasraei, Fatemeh | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47775 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Marvasti, Farrokh
  7. Abstract:
  8. 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 region automatically and next channel coded to be capable of tolerating a certain rate of tampering. Then, the watermark is embedded into the original signal. Embedding locations are chosen based on human auditory system, WAV format characteristics and the watermark specification. In receiver side, the receiver extracts the watermark and detects tampering automatically. Moreover, if it detects tampering, it may recover the original signal. Accuracy, validity and performance of the proposed methods are determined by simulation and examining against various attacks. Superiority of the proposed methods is also specified by a comparison to the similar works. Quality of the recovered signal is reported by PESQ criteria
  9. Keywords:
  10. Tamper Detection ; Speech Signal ; Self Embedding ; Self Recovery ; WAV Audio Format

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