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Forgery Detection of Digital Audio

Author: ShaoSongNian
Tutor: HuangZheng
School: Shanghai Jiaotong University
Course: Applied Computer Technology
Keywords: Information Security Digital audio Audio tampering Judicial appraisal Wavelet Noise Reduction The noise floor Voice signal Endpoint identification
CLC: TP391.42
Type: Master's thesis
Year: 2010
Downloads: 111
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Abstract


With the continuous development of computer multimedia technology and network technology , makes digital multimedia applications ( digital images, digital video , audio , as well as three-dimensional computer graphics ) has been widely developed . Digital media has easy to store , easy to edit , the incomparable advantages of the easy transmission traditional analog media . However , these advantages also brought many new problems . The first is the low cost modifications of digital material . The help of powerful editing tools , an image , a section of the image or an audio can easily be changed beyond recognition . Second been altered after the digital material is difficult to determine its authenticity , the authenticity of the digital material is often not guaranteed . This will give us in the application of digital media at the same time , causing some confusion , especially in some important occasions such as court proof department confidential documents , medical records , historical documents backup . Therefore, the protection of the authenticity and integrity of these digital media has important significance . Existing technologies , such as digital watermarking and digital signatures , the authenticity of the original data can be well protected . This requires the equipment itself admitted to the raw data , insert a watermark and signature , such devices are often high prices and low usage , most devices do not have this function . Therefore , the subject of this study is how to provide additional information on a given non- significant digital audio material (ie not added any additional information to ensure its integrity and authenticity ) the authenticity of detection . As we proceed from the multifaceted Firstly studied the correlation of the noise of the digital audio device , and using the method of wavelet denoising can be the noise of the digital audio . And the noise floor as the characteristics of the device characteristics. Which can detect a tampered with audio recorded by the different types of equipment with each other to provide a basis for judging method for judicial appraisal . Secondly, we study the characteristics of the speech signal , short-term energy analysis with short-term zero- analysis method of combining syllables voice audio extracted fragments , based on the microstructure of uncertainty and Severability and quantitative syllable fragment similarity , to detect whether the digital audio containing the replication tampering methods .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Voice recognition device
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