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Relevant bibliographies by topics / Forensic audio

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Academic literature on the topic 'Forensic audio'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Forensic audio"

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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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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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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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Dissertations / Theses on the topic "Forensic audio"

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Steinhour, Jacob B. "The Social and Pedagogical Advantages of Audio Forensics and Restoration Education." Ohio University Honors Tutorial College / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1276014966.

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Cooper, Alan John. "Detection of copies of digital audio recordings for forensic purposes." Thesis, Open University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430588.

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LeRoi, Jack. "A forensic investigation of the electrical properties of digital audio recording." Thesis, University of Colorado at Denver, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1556863.

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<p> In media forensics, the devices; e.g. computers, smart phones, still/video cameras, audio recorders, and software; e.g. video, audio, and graphics editors, file and disk utilities, mathematical computation applications, are, for the most part, black boxes. The design specifications are usually proprietary and the operating specifications may be incomplete, inaccurate, or unavailable. This makes it difficult to validate the technology, but using it without validation could discredit a practitioner's findings or testimony. The alternative is to test the device or program to determine relevan

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El, Gemayel Tarek. "Feasibility of Using Electrical Network Frequency Fluctuations to Perform Forensic Digital Audio Authentication." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24383.

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Extracting the Electric Network Frequency (ENF) fluctuations from an audio recording and comparing it to a reference database is a new technology intended to perform forensic digital audio authentication. The objective of this thesis is to implement and design a range of programs and algorithms for capturing and extracting ENF signals. The developed C-program combined with a probe can be used to build the reference database. Our implementation of the Short-Time Fourier Transform method is intended for the ENF extraction of longer signals while our novel proposed use of the Autoregressive param

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Távora, Rodrigo Gurgel Fernandes. "Detecção de réplicas em evidências de áudio usando um esquema adaptativo de audio fingerprinting." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/31501.

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Tese (doutorado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2017.<br>Submitted by Raquel Almeida (raquel.df13@gmail.com) on 2018-03-14T19:20:01Z No. of bitstreams: 1 2017_RodrigoGurgelFernandesTávora.pdf: 2499230 bytes, checksum: 872d779c73e9332c7489050b67768913 (MD5)<br>Approved for entry into archive by Raquel Viana (raquelviana@bce.unb.br) on 2018-03-27T12:21:32Z (GMT) No. of bitstreams: 1 2017_RodrigoGurgelFernandesTávora.pdf: 2499230 bytes, checksum: 872d779c73e9332c7489050b67768913 (MD5)<br>Made available in DSpace on 2018-03-27T12:21:32Z (

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Krätzer, Christian [Verfasser], and Jana [Akademischer Betreuer] Dittmann. "Statistical pattern recognition for audio-forensics : empirical investigations on the application scenarios audio steganalysis and microphone forensics / Christian Krätzer. Betreuer: Jana Dittmann." Magdeburg : Universitätsbibliothek, 2013. http://d-nb.info/1054420408/34.

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Hinostroza, Grijalva Clorinda Miriam, and Yucra Alicia Palomino. "Impacto de la auditoría forense como herramienta de apoyo para detectar y reducir el fraude financiero y tributario en las empresas de transporte de carga terrestre Lima, distrito de Ate, 2018." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/652084.

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La presente investigación busca entender la importancia de la aplicación de la Auditoría Forense como herramienta de apoyo en empresas del sector transporte. Para tal fin se analizó conceptos, métodos y herramientas que son utilizados para la reducción del fraude financiero y tributario, además se revisaron los conceptos de Control, Fraude Financiero y Tributario del sector de transporte de carga terrestre. Para el plan de investigación, se plantea la hipótesis del Impacto de la Auditoría Forense como herramienta de apoyo, para detectar y reducir el fraude financiero y tributario en las e

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Benešová, Barbora. "Externí a interní audit." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-81898.

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The thesis attends to the issue of audit and is divided into two parts. The theoretical part deals with the definition of external (statutory) audit and internal audit and is divided to the chapters of the history, legislation, definition and role. Thereinafter describes a person of auditor, his activities, principles, methods and procedures which auditor uses. The end of the first part is about forensic audits and frauds. The application section includes at first comparison of professions and specifies the same as well as different features. The second part focuses on the relation and coopera

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Martinka, Jan. "Digitální forenzní věda a její aplikace při forenzním auditu účetnictví." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-193055.

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This thesis aims to describe a process framework suitable for conducting digital forensics investigation projects as support for forensic audit. Selection of existing digital forensics investigation framework was a subject of criterial comparison. Described new framework is a result of combination and enhancement of those frameworks, which were suitable for the characteristics of forensic audit. Thesis also discusses digital forensics methods for fraud examination and risk assessment as a part of external audit.

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Vacek, David. "Forenzní audit a protikorupční legislativa." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-74132.

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This paper deals with the subject of fraud investigation. Fraud investigation and forensic audit as such are defined in the first part of the paper. Requirements to become a fraud investigator are described in the next part. A theory surrounding frauds is also presented (incl. most common fraud schemes, fraud triangle etc.). The author also describes foreign anti-corruption legislation which has power to punish corruption which took place on the soil of Czech Republic. An example of how breach of FCPA in the Czech Republic has been investigated is presented by the end of the paper.

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Books on the topic "Forensic audio"

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Maher, Robert C. Principles of Forensic Audio Analysis. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99453-6.

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Petre, Adrian, and Cătălin Grigoraș. Înregistrările audio și audio-video: Mijloace de probă în procesul penal, expertiza judiciară. Editura C.H. Beck, 2010.

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Zjalic, James. Digital Audio Forensics Fundamentals. Focal Press, 2020. http://dx.doi.org/10.4324/9780429292200.

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Canada. Commission of Inquiry into the Sponsorship Program and Advertising Activities. Who is responsible?: Forensic audit. Commission of Inquiry into the Sponsorship Program & Advertising Activities, 2005.

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Gadzhiev, Nazirhan, Ol'ga Kiseleva, Ol'ga Skripkina, and Sergey Konovalenko. Forensic economic expertise. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1138889.

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The textbook contains five chapters that reveal the specifics of the discipline "Forensic Economic Expertise". The study of the material will allow you to master the theoretical and methodological aspects of forensic economic expertise, as well as to master the organization and methodology of certain types of expert research. Meets the federal state educational standards of higher education of the latest generation. For students studying in the specialties 38.05.01 "Economic Security", 40.05.03 "Forensic Examination", as well as for specialists-auditors of the Ministry of Internal

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Vona, Leonard W. Fraud risk assessment: Building a fraud audit program. J. Wiley & Sons, 2008.

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Vona, Leonard W. Fraud risk assessment: Building a fraud audit program. John Wiley & Sons, 2008.

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Anti-fraud audit and control workbook. John Wiley & Sons, 2009.

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Audit forensik: Penggunaan dan kompetensi auditor dalam pemberantasan tindak pidana korupsi. Graha Ilmu, 2013.

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Montana. Legislature. Office of the Legislative Auditor. Performance audit report, Department of Justice, Forensic Science Division: Office of the Legislative Auditor. The Office, 1988.

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Book chapters on the topic "Forensic audio"

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Zjalic, James. "Forensic reporting." In Digital Audio Forensics Fundamentals. Focal Press, 2020. http://dx.doi.org/10.4324/9780429292200-12.

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Zjalic, James. "Forensic principles." In Digital Audio Forensics Fundamentals. Focal Press, 2020. http://dx.doi.org/10.4324/9780429292200-3.

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Braun, Almut. "Interview with visually impaired forensic audio analysts." In The Speaker Identification Ability of Blind and Sighted Listeners. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15198-0_8.

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Koenig, Bruce E., and Douglas S. Lacey. "Forensic Authentication of Digital Audio and Video Files." In Handbook of Digital Forensics of Multimedia Data and Devices. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118705773.ch4.

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Maher, Robert C. "Introduction to Forensic Audio Analysis: Authenticity, Enhancement, and Interpretation." In Modern Acoustics and Signal Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99453-6_1.

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Schindler, Alexander, Martin Boyer, Andrew Lindley, David Schreiber, and Thomas Philipp. "Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks." In MultiMedia Modeling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05716-9_9.

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Zjalic, James. "Speech forensics." In Digital Audio Forensics Fundamentals. Focal Press, 2020. http://dx.doi.org/10.4324/9780429292200-9.

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Zjalic, James. "Audio enhancement." In Digital Audio Forensics Fundamentals. Focal Press, 2020. http://dx.doi.org/10.4324/9780429292200-10.

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Zjalic, James. "Audio authentication." In Digital Audio Forensics Fundamentals. Focal Press, 2020. http://dx.doi.org/10.4324/9780429292200-11.

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Zjalic, James. "Audio encoding." In Digital Audio Forensics Fundamentals. Focal Press, 2020. http://dx.doi.org/10.4324/9780429292200-6.

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Conference papers on the topic "Forensic audio"

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Steinebach, Martin, Sascha Zmudzinski, and Dirk Petrautzki. "Forensic audio watermark detection." In IS&T/SPIE Electronic Imaging, edited by Nasir D. Memon, Adnan M. Alattar, and Edward J. Delp III. SPIE, 2012. http://dx.doi.org/10.1117/12.907869.

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Moore, Alastair H., Mike Brookes, and Patrick A. Naylor. "Roomprints for forensic audio applications." In 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, 2013. http://dx.doi.org/10.1109/waspaa.2013.6701854.

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Jinhua Zeng, Shaopei Shi, Xu Yang, et al. "Audio recorder forensic identification in 21 audio recorders." In 2015 IEEE International Conference on Progress in Informatics and Computing (PIC). IEEE, 2015. http://dx.doi.org/10.1109/pic.2015.7489828.

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Jihyun Park, Yongseok Seo, Wonyoung Yoo, and Youngho Suh. "Audio forensic marking for music streaming service." In 2013 International Conference on ICT Convergence (ICTC). IEEE, 2013. http://dx.doi.org/10.1109/ictc.2013.6675487.

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Oermann, Andrea, Andreas Lang, and Jana Dittmann. "Verifier-tuple for audio-forensic to determine speaker environment." In the 7th workshop. ACM Press, 2005. http://dx.doi.org/10.1145/1073170.1073181.

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Karakoc, Mehmet Mehdi, and Asaf Varol. "Can erase montage traces permanently in audio files." In 2018 6th International Symposium on Digital Forensic and Security (ISDFS). IEEE, 2018. http://dx.doi.org/10.1109/isdfs.2018.8355347.

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Avci, Derya, Turker Tuncer, and Engin Avci. "A new information hiding method for audio signals." In 2018 6th International Symposium on Digital Forensic and Security (ISDFS). IEEE, 2018. http://dx.doi.org/10.1109/isdfs.2018.8355361.

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Sarman, Sercan, and Mustafa Sert. "Audio based violent scene classification using ensemble learning." In 2018 6th International Symposium on Digital Forensic and Security (ISDFS). IEEE, 2018. http://dx.doi.org/10.1109/isdfs.2018.8355393.

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Ozkan, Yusuf, and Buket D. Barkana. "Forensic Audio Analysis and Event Recognition for Smart Surveillance Systems." In 2019 IEEE International Symposium on Technologies for Homeland Security (HST). IEEE, 2019. http://dx.doi.org/10.1109/hst47167.2019.9032996.

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Vatansever, Saffet, and Ahmet Emir Dirik. "Forensic analysis of digital audio recordings based on acoustic mains hum." In 2016 24th Signal Processing and Communication Application Conference (SIU). IEEE, 2016. http://dx.doi.org/10.1109/siu.2016.7495982.

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Reports on the topic "Forensic audio"

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Furbish, Glenn D., William F. Bedwell, David Childress, et al. Forensic Audit Methodologies Used To Collect and Analyze Electronic Disbursements of Iraq Reconstruction Funds. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada545958.

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