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Journal articles on the topic 'Forensic audio'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Fayyad-Kazan, Hasan, Ale Hejase, Imad Moukadem, and Sondos Kassem-Moussa. "Verifying the Audio Evidence to Assist Forensic Investigation." Computer and Information Science 14, no. 3 (2021): 25. http://dx.doi.org/10.5539/cis.v14n3p25.

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Audio forensics is a field in forensics that is used to authenticate, enhance, and analyze audio files to aid in solving different crime investigations. Audio as a forensic evidence must be enhanced and analyzed to be admissible in courts of law. But more importantly, it must be authenticated in order to prove that it is authentic and no manipulations were done to it. In this paper, an overview on audio forensics is presented, previous related work to this topic is shown, and methodologies for audio enhancement and authentication are explained along with audio tampering ways and signatures pre

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Voznyuk, M. A., and Yu A. Denisov. "Forensic Diagnostics of the Circumstances of Digital Video and Audio Production: Analytical Review." Theory and Practice of Forensic Science 12, no. 1 (2017): 48–71. http://dx.doi.org/10.30764/64/1819-2785-2017-12-1-48-71.

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The analytical review examines the issues of forensic investigation into the circumstances of production of digital video and audio recordings. The paper presents the organization and lines of inquiry in forensic analysis of video and audio evidence, computer forensics, forensic linguistics, and psychological evaluation established in the system of forensic science organizations of the Russian Ministry of Justice by 2013–2016. The analysis covers the issues of independent or integrated application of the listed types of special knowledge in order to meet the discipline-specific and comprehensi

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3

Maher, R. "Audio forensic examination." IEEE Signal Processing Magazine 26, no. 2 (2009): 84–94. http://dx.doi.org/10.1109/msp.2008.931080.

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Ballesteros-Larrota, Dora Maria, Diego Renza-Torres, and Steven Andrés Camacho-Vargas. "Blind speaker identification for audio forensic purposes." DYNA 84, no. 201 (2017): 259. http://dx.doi.org/10.15446/dyna.v84n201.60407.

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Este artículo presenta un método ciego para identificación del hablante, con fines de audio forense. Se basa en un sistema de decisión que trabajo con reglas difusas y la correlación entre los cocleagramas del audio de prueba y de los audios de los sospechosos. Nuestro sistema proporciona salida nula, con único sospechoso o con un grupo de sospechosos. De acuerdo a las pruebas realizadas, el desempeño global del sistema (OA) es 0.97 con un valor de concordancia (índice kappa) de 0.75. Adicionalmente, a diferencia de sistemas clásicos en los que un bajo valor de selección incorrecta (FP) implic

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Tao, Biaoli, Rangding Wang, Diqun Yan, and Chao Jin. "Anti-Forensics of Double Compressed MP3 Audio." International Journal of Digital Crime and Forensics 12, no. 3 (2020): 45–57. http://dx.doi.org/10.4018/ijdcf.2020070104.

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The widespread availability of audio editing software has made it easy to create acoustically convincing digital audio forgeries. To address this problem, more and more attention has been paid to the field of digital audio forensics. There has been little work, however, in the field of anti-forensics, which seeks to develop a set of techniques designed to fool current forensic methodologies. The compression history of an audio sample can be used to provide evidence of audio forgeries. In this work, we present a simple method for distinguishing the MP3 compression history of an audio sample. We

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Yan, Diqun, Xiaowen Li, Li Dong, and Rangding Wang. "An Antiforensic Method against AMR Compression Detection." Security and Communication Networks 2020 (September 2, 2020): 1–8. http://dx.doi.org/10.1155/2020/8849902.

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Adaptive multirate (AMR) compression audio has been exploited as an effective forensic evidence to justify audio authenticity. Little consideration has been given, however, to antiforensic techniques capable of fooling AMR compression forensic algorithms. In this paper, we present an antiforensic method based on generative adversarial network (GAN) to attack AMR compression detectors. The GAN framework is utilized to modify double AMR compressed audio to have the underlying statistics of single compressed one. Three state-of-the-art detectors of AMR compression are selected as the targets to b

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Khan, Muhammad Khurram, Mohammed Zakariah, Hafiz Malik, and Kim-Kwang Raymond Choo. "A novel audio forensic data-set for digital multimedia forensics." Australian Journal of Forensic Sciences 50, no. 5 (2017): 525–42. http://dx.doi.org/10.1080/00450618.2017.1296186.

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8

Sunardi, Sunardi, Imam Riadi, Rusydi Umar, and Muhammad Fauzan Gustafi. "Audio Forensics on Smartphone with Digital Forensics Research Workshop (DFRWS) Method." CommIT (Communication and Information Technology) Journal 15, no. 1 (2021): 41–47. http://dx.doi.org/10.21512/commit.v15i1.6739.

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Audio is one of the digital items that can reveal a happened case. However, audio evidence can also be manipulated and changed to hide information. Forensics audio is a technique to identify the sound’s owner from the audio using pitch, formant, and spectrogram parameters. The conducted research examines the similarity of the original sound with the manipulated voice to determine the owner of the sound. It analyzes the level of similarity or identical sound using spectrogram analysis with the Digital Forensics Research Workshop (DFRWS) Method. The research objects are original and manipulated

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Boyarov, A. G., and I. S. Siparov. "Forensic Investigation of MP3 Audio Recordings." Theory and Practice of Forensic Science 14, no. 4 (2020): 125–36. http://dx.doi.org/10.30764//1819-2785-2019-14-4-125-136.

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Special aspects of MP3-recordings technical investigation are addressed. The following features of formation and research of MP3 phonograms are explained: traces of MP3 coding in time and spectral domain, special aspects of MP3-files structure analysis, detection methods of re-coding of MP3-recordings, methods of group identification of MP3-recorders and MP3-codecs.MP3 coding leaves certain traces of its usage. Due to the psychoacoustic model inaudible spectral components are deleted from the signal spectrum. Traces of psychoacoustic codecs usage are also clearly seen via dynamic spectrogram a

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Bintang, Rauhulloh Ayatulloh, Rusydi Umar, and Anton Yudhana. "Analisis Media Sosial Facebook Lite dengan tools Forensik menggunakan Metode NIST." Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) 21, no. 2 (2020): 125. http://dx.doi.org/10.30595/techno.v21i2.8494.

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Social Media is becoming very popular among the public today, and the increasing number of social media use has of course a good or bad impact on the course of human life, for example the bad impact is doing cyberbully or chating on social media. Digital forensics is one of the sciences for how to catch criminals in digital which will be needed in evidence in court. Social media criminals need Smartphones to commit digital cybercrime. This research will raise evidence of digital crimes on the Facebook Lite application using forensics. In this study, the forensic tool that will be used is the M

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Brendel, Yuliya. "Organizational problems when appointing forensic video, audio analysis." Naukovyy Visnyk Dnipropetrovs'kogo Derzhavnogo Universytetu Vnutrishnikh Sprav 4, no. 4 (2020): 284–90. http://dx.doi.org/10.31733/2078-3566-2020-4-284-290.

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the problems associated with the improper preparation of materials provided for the examination of video and audio recording, have been studied. The purpose of the article is to analyze the current problems that arise in the appointment of the examination of video, audio and identify ways to solve them. The materials of video, audio analysis, which are provided for examination, are analyzed; two main groups of such records are identified. The first group of records - records made by certain bodies as a result of their professional activities. The second group - records received by ordinary cit

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Kurniawan, Fajri, Mohd Shafry Mohd. Rahim, Mohammed S. Khalil, and Muhammad Khurram Khan. "Statistical Based Audio Forensic on Identical Microphones." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 5 (2016): 2211. http://dx.doi.org/10.11591/ijece.v6i5.12022.

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<p>Microphone forensics has become a challenging field due to the proliferation of recording devices and explosion in video/audio recording. Video or audio recording helps a criminal investigator to analyze the scene and to collect evidences. In this regards, a robust method is required to assure the originality of some recordings. In this paper, we focus on digital audio forensics and study how to identify the microphone model. Defining microphone model will allow the investigators to conclude integrity of some recordings. We perform statistical analysis on the recording that is collect

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Kurniawan, Fajri, Mohd Shafry Mohd. Rahim, Mohammed S. Khalil, and Muhammad Khurram Khan. "Statistical Based Audio Forensic on Identical Microphones." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 5 (2016): 2211. http://dx.doi.org/10.11591/ijece.v6i5.pp2211-2218.

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<p>Microphone forensics has become a challenging field due to the proliferation of recording devices and explosion in video/audio recording. Video or audio recording helps a criminal investigator to analyze the scene and to collect evidences. In this regards, a robust method is required to assure the originality of some recordings. In this paper, we focus on digital audio forensics and study how to identify the microphone model. Defining microphone model will allow the investigators to conclude integrity of some recordings. We perform statistical analysis on the recording that is collect

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alZahir, Saif, and Md Wahedul Islam. "Audio Watermarking Scheme Using IMFs and HHT for Forensic Applications." International Journal of Digital Crime and Forensics 5, no. 4 (2013): 55–67. http://dx.doi.org/10.4018/ijdcf.2013100104.

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Audio signals and applications are numerous and ubiquitous. Most of these applications especially those on the Internet require authentication and proof(s) of ownership. There are several efficient methods in the literature address these crucial and critical concerns. In this paper, the authors present a new non-blind audio watermarking scheme for forensic audio authentication and proof of ownership. The proposed scheme is based on empirical mode decomposition and Hilbert Haung Transformation (HHT). In this method, the audio signal is decomposed into frames of 1024 sample each. These frames ar

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15

O. A., Leonenko, Yesypenko O. H., and Rakhilchuk І.V. "Modern legal and organizational principles for the development of judicial examination in crime investigation." Scientific Herald of Sivershchyna. Series: Law 2020, no. 2 (2020): 93–101. http://dx.doi.org/10.32755/sjlaw.2020.02.093.

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The scientific article is devoted to the problems of using forensic examinations and their results in the pre-trial investigation. Perspective directions of development of criminology according to its components are defined. The current state of develop-ment of forensic technology, tools and cybernetics in general, which is successfully used in forensics makes it possible to use retinal schemes to register criminals. It is noted that the development of forensic technologies involves the develop-ment of information retrieval programs, such as Automated Workplaces (AWP) for pre-trial investigati

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Nour Mohammad, Hasan Fayyad-Kazan, Mohamad Saab. "Anti- Forensics: The Tampering of Media." International Journal on Recent and Innovation Trends in Computing and Communication 8, no. 10 (2020): 06–30. http://dx.doi.org/10.17762/ijritcc.v8i10.5447.

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In the context of forensic investigations, the traditional understanding of evidence is changing where nowadays most prosecutors, lawyers and judges heavily rely on multimedia signs. This modern shift has allowed the law enforcement to better reconstruct the crime scenes or reveal the truth of any critical event.In this paper we shed the light on the role of video, audio and photos as forensic evidences presenting the possibility of their tampering by various easy-to-use, available anti-forensics softwares. We proved that along with the forensic analysis, digital processing, enhancement and au

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17

Bessonov, A. A., A. G. Boyarov, and M. V. Stepanov. "The Electric Network Frequency Based Method of Forensic Audio Analysis." Theory and Practice of Forensic Science 14, no. 2 (2019): 43–50. http://dx.doi.org/10.30764/1819-2785-2019-14-2-43-50.

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The article describes new possibilities for technical authentication of audio recordings and determination of circumstances in which they were made in the context of Russian forensic practice. The proposed method is based on comparing the frequency of the electric current in the grid reflected in the submitted audio evidence with reference electric network frequency (ENF) indicators, which are recorded on a regular basis using a specialized hardware and software suite. This method is known as the Electric Network Frequency (ENF) Criterion (developed by Romanian expert Catalin Grigoras in 2005)

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Godlevskii, A. A. "Determining Vehicle Speed from Dashcam Audio Analysis." Theory and Practice of Forensic Science, no. 4(44) (December 30, 2016): 66–72. http://dx.doi.org/10.30764/1819-2785-2016-4-66-72.

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The article offers a method for determining vehicle speed from the audio track recorded by the dashboard camera mounted on the car in question. The author analyzed the operation of a four-stroke internal combustion engine, and established a dependency between the number of rotations (rpm) of the engine crankshaft and the number of rotations transferred to the wheel by the manual transmission. The author presents a formula that helps to determine the static radius of the wheel from its marking symbols on the tire. He looks at examples from forensic casework and offers options for determining th

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19

Chen, Hung-Tao M., and Megan Thomas. "Effects of Audio Learning on Semi-Autonomous Driving Safety." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 1181–85. http://dx.doi.org/10.1177/1071181320641282.

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Semi-autonomous driving has been found to require less cognitive resources from drivers. It is not immediately clear if engaging in secondary tasks such as audio learning is safe in a semi-autonomous driving situation, especially considering the finding that semi-autonomous drivers tend to be less engaged. The current study investigated the effects of audio learning during a simulated semi-autonomous driving situation. Our results indicated that audio learning could delay warning message reaction time, and drivers had worse audio learning performance in a simulated semi-autonomous driving situ

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Liu, Tianyun, Diqun Yan, Rangding Wang, Nan Yan, and Gang Chen. "Identification of Fake Stereo Audio Using SVM and CNN." Information 12, no. 7 (2021): 263. http://dx.doi.org/10.3390/info12070263.

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The number of channels is one of the important criteria in regard to digital audio quality. Generally, stereo audio with two channels can provide better perceptual quality than mono audio. To seek illegal commercial benefit, one might convert a mono audio system to stereo with fake quality. Identifying stereo-faking audio is a lesser-investigated audio forensic issue. In this paper, a stereo faking corpus is first presented, which is created using the Haas effect technique. Two identification algorithms for fake stereo audio are proposed. One is based on Mel-frequency cepstral coefficient feat

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Lebedeva, A. K. "PROBLEMS OF FORENSIC PHONOSCOPIC EXAMINATION IN THE LIGHT OF THE DEVELOPMENT OF DIGITAL TECHNOLOGIES." Courier of Kutafin Moscow State Law University (MSAL)), no. 6 (July 31, 2020): 62–71. http://dx.doi.org/10.17803/2311-5998.2020.70.6.062-071.

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The article deals with some problems related to the production of forensic speech and audio analysis, taking into account global digitalization of all spheres of human life. Voicechanger, technology of voice synthesis signifi cantly complicate forensic phonoscopic examinations and put before the forensic experts a new, interesting challenges. We consider the algorithm for changing the voice using modern software, as well as features of voice synthesis technologies. Some variants of studying such phonograms are proposed.

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Rao, Shivangi. "Forensic Aspects of Voice Analysis in India." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1990–93. http://dx.doi.org/10.22214/ijraset.2021.37702.

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Abstract: The area of forensic speech and audio analysis encompasses a vast range of operations, the much more prominent of which is, without the need of a doubt, speaker identification. In addition, comprehensibility improvement of the recorded voice signal, analysis of disputed speech, and assessment of the legitimacy of audio recordings are also activities in the field. Using voice analysis, the examiner has two ideas about how to make an identification. Initially, he or she might compare the accent, conversational habits, breathing rhythms, and intonations of the evidence sample with the s

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Singh, Satyanand. "Forensic and Automatic Speaker Recognition System." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 2804. http://dx.doi.org/10.11591/ijece.v8i5.pp2804-2811.

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<span lang="EN-US">Current Automatic Speaker Recognition (ASR) System has emerged as an important medium of confirmation of identity in many businesses, ecommerce applications, forensics and law enforcement as well. Specialists trained in criminological recognition can play out this undertaking far superior by looking at an arrangement of acoustic, prosodic, and semantic attributes which has been referred to as structured listening. An algorithmbased system has been developed in the recognition of forensic speakers by physics scientists and forensic linguists to reduce the probability of

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Afzal, Asmara, Mehdi Hussain, Shahzad Saleem, M. Khuram Shahzad, Anthony T. S. Ho, and Ki-Hyun Jung. "Encrypted Network Traffic Analysis of Secure Instant Messaging Application: A Case Study of Signal Messenger App." Applied Sciences 11, no. 17 (2021): 7789. http://dx.doi.org/10.3390/app11177789.

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Instant messaging applications (apps) have played a vital role in online interaction, especially under COVID-19 lockdown protocols. Apps with security provisions are able to provide confidentiality through end-to-end encryption. Ill-intentioned individuals and groups use these security services to their advantage by using the apps for criminal, illicit, or fraudulent activities. During an investigation, the provision of end-to-end encryption in apps increases the complexity for digital forensics investigators. This study aims to provide a network forensic strategy to identify the potential art

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Apter, Emily. "Shibboleth: Policing by Ear and Forensic Listening in Projects by Lawrence Abu Hamdan." October 156 (May 2016): 100–115. http://dx.doi.org/10.1162/octo_a_00253.

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Drawing on the work of Lawrence Abu Hamdan, a British-Lebanese artist and researcher currently based in Beirut, this essay examines the juridical and conceptual field of critical forensis which is situated at the juncture of security studies, art, and architecture. Abu Hamdan extends forensics to the area of “new audibilities,” with a focus on the politics of juridical hearing in situations of legal-identity profiling and voice authentication (the “shibboleth test”). Abu Hamdan's projects investigate how accent monitoring and audio surveillance, voice recognition, translation technologies, sov

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Renza, Diego, Jaisson Vargas, and Dora M. Ballesteros. "Robust Speech Hashing for Digital Audio Forensics." Applied Sciences 10, no. 1 (2019): 249. http://dx.doi.org/10.3390/app10010249.

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The verification of the integrity and authenticity of multimedia content is an essential task in the forensic field, in order to make digital evidence admissible. The main objective is to establish whether the multimedia content has been manipulated with significant changes to its content, such as the removal of noise (e.g., a gunshot) that could clarify the facts of a crime. In this project we propose a method to generate a summary value for audio recordings, known as hash. Our method is robust, which means that if the audio has been modified slightly (without changing its significant content

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Moon, Sunil K., and Rajeshree D Raut. "INNOVATIVE DATA HIDING SECURITY MODEL USING FORENSIC AUDIO VIDEO CRYPTO-STEGANOGRAPHY." ICTACT Journal on Communication Technology 8, no. 4 (2017): 1633–39. http://dx.doi.org/10.21917/ijct.2017.0240.

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Yang, Il-Ho, Kyung-Wha Kim, Myung-Jae Kim, Rock-Seon Baek, Hee-Soo Heo, and Ha-Jin Yu. "An Automatic Method of Detecting Audio Signal Tampering in Forensic Phonetics." Phonetics and Speech Sciences 6, no. 2 (2014): 21–28. http://dx.doi.org/10.13064/ksss.2014.6.2.021.

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Seo, Yongseok, Jihyun Park, and Wonyoung Yoo. "Audio Forensic Marking System for Copyright Protection of Streaming Music Service." Journal of Digital Contents Society 15, no. 3 (2014): 357–63. http://dx.doi.org/10.9728/dcs.2014.15.3.357.

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Fraser, Helen. "‘Enhancing’ forensic audio: false beliefs and their effect in criminal trials." Australian Journal of Forensic Sciences 52, no. 2 (2018): 165–77. http://dx.doi.org/10.1080/00450618.2018.1491115.

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31

Harrison, Philip. "GSM interference cancellation for forensic audio: a report on work in progress." Forensic Linguistics 8, no. 2 (2001): 9–23. http://dx.doi.org/10.1558/sll.2001.8.2.9.

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Braun, Stefan. "Forensic Evidence of Copyright Infringement by Digital Audio Sampling Analysis - Identification – Marking." International Journal of Cyber-Security and Digital Forensics 3, no. 3 (2014): 170–82. http://dx.doi.org/10.17781/p001337.

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Eckert, William G. "The James Spencer Bell Audio-Visual Center in Forensic Medicine and Pathology." American Journal of Forensic Medicine and Pathology 9, no. 2 (1988): 184. http://dx.doi.org/10.1097/00000433-198806000-00021.

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Li, De, and JongWeon Kim. "Secure Audio Forensic Marking Alogrithm Using 2D Barcode in DWT-DFRNT Domain." International Journal of Distributed Sensor Networks 10, no. 1 (2014): 292650. http://dx.doi.org/10.1155/2014/292650.

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Grigoras, Catalin. "Applications of ENF criterion in forensic audio, video, computer and telecommunication analysis." Forensic Science International 167, no. 2-3 (2007): 136–45. http://dx.doi.org/10.1016/j.forsciint.2006.06.033.

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Rybalsyi, Oleh, Viktor Soloviov, and Vadym Zhuravel. "Ways of Enhancing the Effectiveness of Forensic Identification of Digital Audio Recording Equipment." Modern Special Technics 4(59) (2019): 54–64. http://dx.doi.org/10.36486/mst2411-3816.2019.4(59).6.

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Boyczuk, Jeff. "Factors affecting the intelligibility of recorded speech: Considerations for forensic audio “best evidence”." Journal of the Acoustical Society of America 128, no. 4 (2010): 2379. http://dx.doi.org/10.1121/1.3508455.

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Christinina, E. V. "ON THE USE OF DIGITAL LOGISTICS IN CRIMINAL PROCEEDINGS AND CRIMINALISTICS." Juridical Journal of Samara University 6, no. 3 (2020): 128–32. http://dx.doi.org/10.18287/2542-047x-2020-6-3-128-132.

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The scientific article explores the concept and content of digital forensic logistics. The author substantiates the close relationship of digital forensic logistics with the process of organizing criminal investigations, building forensic versions, planning investigative actions and operational search activities. The author presents several areas of forensic logistics: logistics of evidence in criminal cases; logistics of the overall organization of the investigation of crimes; logistics of planning (selection of means and methods of investigation); logistics of putting forward versions; logis

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Igorevna, Galyashina Elena. "The Challenges of Forensic Linguistic Analysis of False Testimony." European Journal of Social & Behavioural Sciences 30, no. 3 (2021): 236–50. http://dx.doi.org/10.15405/ejsbs.302.

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The present paper arises from wider research which focused on various manifestations of destructive and malicious speech behavior in spontaneous oral or written dialogs, related to the processes of information concealment and falsification in police interviews and court testimonies. A number of analytical methods were used to generate this paper: a retrospective analysis of scientific literature, comparative legal and logical analysis, extrapolation methods, and content analysis. Despite numerous experimental researches devoted to acoustic-phonetic or psycholinguistic features of lies, their r

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Machado, Vieira Filho, and de Oliveira. "Forensic Speaker Verification Using Ordinary Least Squares." Sensors 19, no. 20 (2019): 4385. http://dx.doi.org/10.3390/s19204385.

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In Brazil, the recognition of speakers for forensic purposes still relies on a subjectivity-based decision-making process through a results analysis of untrustworthy techniques. Owing to the lack of a voice database, speaker verification is currently applied to samples specifically collected for confrontation. However, speaker comparative analysis via contested discourse requires the collection of an excessive amount of voice samples for a series of individuals. Further, the recognition system must inform who is the most compatible with the contested voice from pre-selected individuals. Accord

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Petrov, S. M. "Forensic Analysis of Time Markers of Digital Recordings." Theory and Practice of Forensic Science 16, no. 1 (2021): 69–77. http://dx.doi.org/10.30764/1819-2785-2021-1-69-77.

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The article presents the results of summarizing expert practice on the examination of the features of digital video and sound recordings, which make it possible to determine the time of file creation and date of the recorded events. The author introduces the concept of “time marker” and proposes the classification of time markers in the file name, time attributes, and metadata by form and source of origin. The basic principles of time representation by various file systems are stated. The relationships between different time markers for original records and records made in other ways are analy

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Sturken, Marita. "Containing absence, shaping presence at ground zero." Memory Studies 13, no. 3 (2020): 313–21. http://dx.doi.org/10.1177/1750698020914015.

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This essay analyzes the dynamics of absence and presence at the 9/11 memorial and museum in New York, as elements of their design and aspects of the haunting of the site. Of the 2753 victims, 1113 have never been identified, despite a huge and expensive forensic identification process, and this absence has been a shaping force at the site. While the designs of the memorial and the museum both evoke absence, both also attempt to render the dead present, through naming at the memorial and through an array of media, most effectively audio, in the museum. This essay examines the complex forensic i

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Rossinskaya, E. R., and A. I. Semikalenova. "Counterfeit Information and Computer Product as an Object of Forensic Research of Computer Tools and Systems." Lex Russica, no. 8 (August 25, 2020): 86–95. http://dx.doi.org/10.17803/1729-5920.2020.165.8.086-095.

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The paper considers the impact of global digitalization on the detection and investigation of crimes in the field of copyright and related rights violations based on the doctrine of criminalistic research of computer tools and systems, which is part of the private theory of information and computer support for criminalistic activities. It is noted that since the early 2000s, approaches to investigative tactics and forensic research of audio recordings, videos, and software have been considered in isolation from these types of objects. The development of information and computer technologies ha

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Koenig, Bruce E., and Douglas S. Lacey. "An Inconclusive Digital Audio Authenticity Examination: A Unique Case." Journal of Forensic Sciences 57, no. 1 (2011): 239–45. http://dx.doi.org/10.1111/j.1556-4029.2011.01899.x.

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Goyal, Ashu, S. K. Shukla, and R. K. Sarin. "Identification of source mobile hand sets using audio latency feature." Forensic Science International 298 (May 2019): 332–35. http://dx.doi.org/10.1016/j.forsciint.2019.02.031.

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Sekerazh, T. N. "Psychological Analysis of Audio and Video Materials Obtained during Police Operations: Organizational and Methodical Aspects." Theory and Practice of Forensic Science 16, no. 2 (2021): 105–15. http://dx.doi.org/10.30764/1819-2785-2021-2-105-115.

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Abstract:

The article addresses typical expert situations arising in the psychological analysis of video materials from police operations. The author demonstrates that to solve the emerging issues, an expert needs specialized knowledge, especially in forensic psychology and linguistics. Furthermore, the eﬃciency of solving expert tasks in examining video materials of police operations for various categories of detected oﬀenses depends on some organizational and methodological factors. The author also reviews typical expert errors associated with an incorrect recognition of the object of research, the ou

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Capparelli, Amy L., Quincy C. Miller, Daniel B. Wright, and Kamala London. "Canine-Assisted Interviews Bolster Informativeness for Negative Autobiographical Memories." Psychological Reports 123, no. 1 (2019): 159–78. http://dx.doi.org/10.1177/0033294119851803.

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Humans and animals share a unique bond. Professionals are capitalizing on the human–animal bond by incorporating animals into therapy, forensic interviews, and the courtroom. However, the mnemonic consequence for including dogs in forensic interviews has not been empirically evaluated. In the current study, we examined whether the use of dogs increases the quantity of verbal reports for emotional events. Undergraduate participants were randomly assigned to dog or no dog conditions. Participants were interviewed about positive experienced events and negative experienced events. All interviews w

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Moon, Sunil K., and Rajeshree D. Raut. "Innovative data security model using forensic audio video steganography for improving hidden data security and robustness." International Journal of Information and Computer Security 10, no. 4 (2018): 374. http://dx.doi.org/10.1504/ijics.2018.095300.

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MOON, SUNIL. "Innovative Data Security Model Using Forensic Audio Video Steganography for Improving Hidden Data Security and Robustness." International Journal of Information and Computer Security 10, no. 1 (2018): 1. http://dx.doi.org/10.1504/ijics.2018.10007844.

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Boyczuk, Jeff, David Luknowsky, Bradford Gover, and Heping Ding. "Improving the speech intelligibility of forensic audio recordings through adaptive filtering with non‐synchronous interference signals." Journal of the Acoustical Society of America 128, no. 4 (2010): 2393. http://dx.doi.org/10.1121/1.3508579.

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