【摘要】：數(shù)字語(yǔ)音隨著互聯(lián)網(wǎng)的發(fā)展已經(jīng)逐漸走進(jìn)了人們的日常生活。人們不僅可以通過(guò)數(shù)字語(yǔ)音在網(wǎng)絡(luò)上進(jìn)行溝通交流,而且語(yǔ)音信息還作為人機(jī)交互的媒介正在迅速發(fā)展。數(shù)字語(yǔ)音作為常見(jiàn)的多媒體信息給我們生活帶來(lái)極大的便捷,與此同時(shí),音頻編輯和處理軟件的功能不斷的完善使得對(duì)語(yǔ)音的編輯和修改變得更加容易和便捷,并且通常人耳難以分辨這些處理留下的痕跡,如果被非法利用或惡意傳播將給社會(huì)穩(wěn)定帶來(lái)嚴(yán)重的威脅。因而,對(duì)語(yǔ)音信息的真實(shí)性、完整性驗(yàn)證變得尤為重要。本文對(duì)數(shù)字語(yǔ)音信息真實(shí)性和完整性驗(yàn)證中的關(guān)鍵問(wèn)題進(jìn)行了研究與探索,主要研究了數(shù)字語(yǔ)音雙壓縮檢測(cè)的相關(guān)問(wèn)題以及數(shù)字語(yǔ)音拼接篡改檢測(cè)技術(shù)。具體的研究工作可分為以下四個(gè)方面:1.數(shù)字語(yǔ)音的篡改往往會(huì)導(dǎo)致雙壓縮過(guò)程,并且雙壓縮的碼率與單次壓縮相同。因此,本文首先研究數(shù)字語(yǔ)音相同碼率的雙壓縮檢測(cè)問(wèn)題,利用MP3編碼過(guò)程中的量化頻譜系數(shù)作為特征,分析相鄰兩次壓縮之間的變化特點(diǎn),實(shí)現(xiàn)對(duì)雙壓縮的檢測(cè)。2.數(shù)字語(yǔ)音的雙壓縮檢測(cè)也會(huì)帶來(lái)反取證問(wèn)題,也即使得雙壓縮的語(yǔ)音被檢測(cè)為一次壓縮。本文通過(guò)研究語(yǔ)音壓縮遺留的痕跡,提出一種通過(guò)添加零值采樣點(diǎn)的簡(jiǎn)便方法移除了壓縮的痕跡,從而實(shí)現(xiàn)了雙壓縮的反取證研究。通過(guò)對(duì)該問(wèn)題的研究為后續(xù)篡改檢測(cè)提供了有力支撐。3.數(shù)字語(yǔ)音的拼接篡改檢測(cè)是本課題的研究重點(diǎn),通過(guò)對(duì)語(yǔ)音的雙壓縮檢測(cè)的研究,發(fā)現(xiàn)篡改操作同樣會(huì)移除壓縮痕跡,因此本文利用篡改前后壓縮次數(shù)的不一致性實(shí)現(xiàn)了篡改定位,實(shí)驗(yàn)結(jié)果表明具有一定效果,但定位的準(zhǔn)確性受定位的精度影響較大。4.基于壓縮歷史不一致性的篡改定位方法在定位準(zhǔn)確性和定位精度方面都不是太高,為進(jìn)一步提高定位精度和準(zhǔn)確性。本文還提出利用編碼的量化特性進(jìn)行篡改定位,將零值頻譜系數(shù)作為特征分析其量化前后的變化特征,提取了一種有效的特征實(shí)現(xiàn)了對(duì)篡改的檢測(cè),實(shí)驗(yàn)結(jié)果表明檢測(cè)準(zhǔn)確率達(dá)到了99%。
[Abstract]:With the development of the Internet, digital voice has gradually come into people's daily life. Not only can people communicate and communicate on the network through digital voice, but also voice information is developing rapidly as a medium of human-computer interaction. Digital speech, as a common multimedia information, brings us great convenience in our life. At the same time, with the continuous improvement of the functions of audio editing and processing software, it is easier and more convenient to edit and modify the voice. And the human ear is usually difficult to distinguish the traces of these treatments, if used illegally or spread maliciously, it will bring a serious threat to social stability. Therefore, for the authenticity of voice information, integrity verification becomes particularly important. In this paper, the key problems in the verification of the authenticity and integrity of digital speech information are studied and explored, and the related problems of digital speech dual compression detection and digital speech mosaic tampering detection technology are mainly studied. Specific research work can be divided into the following four aspects: 1. Digital speech tampering often leads to double compression, and the bit rate of double compression is the same as that of single compression. Therefore, this paper first studies the problem of double compression detection of digital speech at the same bit rate. Using the quantization spectrum coefficient in the process of MP3 coding as the feature, the variation between adjacent compression is analyzed, and the detection of double compression. 2. Double compression detection of digital speech also brings the problem of anti-forensics, that is, the dual compression speech is detected as one compression. In this paper, by studying the traces left by speech compression, a simple method of removing the traces of compression by adding zero sampling points is put forward, which realizes the research of anti-forensics with double compression. Through the study of this problem, it provides a strong support for the subsequent tamper detection. 3. The detection of digital speech splicing tampering is the focus of this research. Through the research of the double compression detection of speech, it is found that the tampering operation will also remove the compression trace. Therefore, the tamper localization is realized by using the inconsistency of compression times before and after tampering. The experimental results show that it has some effect, but the accuracy of the location is greatly affected by the accuracy of the location. The tamper localization method based on compression history inconsistency is not too high in the accuracy of location and positioning, in order to further improve the accuracy and accuracy of location. This paper also proposes to use the quantization characteristic of coding to locate the tamper. The zero-value spectrum coefficient is used as the feature to analyze the change features before and after quantization, and an effective feature is extracted to detect the tampering. The experimental results show that the detection accuracy is 99%.
【學(xué)位授予單位】：寧波大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN912.3

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