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Relevant bibliographies by topics / Audio Forensics

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Academic literature on the topic 'Audio Forensics'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Audio Forensics"

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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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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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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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Qamhan, Mustafa, Yousef A. Alotaibi, and Sid-Ahmed Selouani. "Source Microphone Identification Using Swin Transformer." Applied Sciences 13, no. 12 (2023): 7112. http://dx.doi.org/10.3390/app13127112.

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Microphone identification is a crucial challenge in the field of digital audio forensics. The ability to accurately identify the type of microphone used to record a piece of audio can provide important information for forensic analysis and crime investigations. In recent years, transformer-based deep-learning models have been shown to be effective in many different tasks. This paper proposes a system based on a transformer for microphone identification based on recorded audio. Two types of experiments were conducted: one to identify the model of the microphones and another in which identical m

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Ghane, Mohamed C., Maider D. Uribarri, Ramzi Djemai, Dipo Dunsin, and Istteffanny I. Araujo. "A Novel Hybrid Method for Effective Identification and Extraction of Digital Evidence Masked by Steganographic Techniques in WAV and MP3 Files." Journal of Information Security and Cybercrimes Research 6, no. 2 (2023): 89–104. http://dx.doi.org/10.26735/izbk9372.

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Anti-forensics techniques, particularly steganography and cryptography, have become increasingly pressing issues affecting current digital forensics practices. This paper advances the automation of hidden evidence extraction in audio files by proposing a novel multi-approach method. This method facilitates the correlation between unprocessed artefacts, indexed and live forensics analysis, and traditional steganographic and cryptographic detection techniques. In this work, we opted for experimental research methodology in the form of a quantitative analysis of the efficiency of the proposed aut

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N, Rahmawati. "ANALISIS STATISTIK PITCH PADA AUDIO FORENSIK UNTUK BUKTI DIGITAL." Cyber Security dan Forensik Digital 5, no. 2 (2023): 66–70. http://dx.doi.org/10.14421/csecurity.2022.5.2.2345.

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Teknologi informasi dan komputer terus berkembang dan telah dimanfaatkan secara luas maupun mendalam. Komputer/digital forensik merupkan aplikasi dari teknologi komputer untuk pembuktian hukum terkait dengan kejahatan berteknologi tinggi hingga bisa mendapatkan bukti bukti digital untuk menjerat para pelaku kejahatan. Wilayah forensik digital cukup luas karena jenis dari konten digital itu sendiri ada banyak, seperti website, email, gambar, audio, video, dan lain-lain. Pada kasus pidana maupun perdata diperlukan barang bukti, salah satunya adalah barang bukti digital/ elektronik. Barang bukti

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Muhammad, Ghulam, and Khalid Alghathbar. "Environment Recognition for Digital Audio Forensics Using MPEG-7 and MEL Cepstral Features." Journal of Electrical Engineering 62, no. 4 (2011): 199–205. http://dx.doi.org/10.2478/v10187-011-0032-0.

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Environment Recognition for Digital Audio Forensics Using MPEG-7 and MEL Cepstral FeaturesEnvironment recognition from digital audio for forensics application is a growing area of interest. However, compared to other branches of audio forensics, it is a less researched one. Especially less attention has been given to detect environment from files where foreground speech is present, which is a forensics scenario. In this paper, we perform several experiments focusing on the problems of environment recognition from audio particularly for forensics application. Experimental results show that the

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Dzulfikar, Helmy, Sisdarmanto Adinandra, and Erika Ramadhani. "The Comparison of Audio Analysis Using Audio Forensic Technique and Mel Frequency Cepstral Coefficient Method (MFCC) as the Requirement of Digital Evidence." Jurnal Online Informatika 6, no. 2 (2021): 145. http://dx.doi.org/10.15575/join.v6i2.702.

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Audio forensics is the application of science and scientific methods in handling digital evidence in the form of audio. In this regard, the audio supports the disclosure of various criminal cases and reveals the necessary information needed in the trial process. So far, research related to audio forensics is more on human voices that are recorded directly, either by using a voice recorder or voice recordings on smartphones, which are available on Google Play services or iOS Store. This study compares the analysis of live voices (human voices) with artificial voices on Google Voice and other ar

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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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Sonali, Ekhande, Patil Uttam, and Vishwanath Kulhalli Kshama. "Review on effectiveness of deep learning approach in digital forensics." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 5481–92. https://doi.org/10.11591/ijece.v12i5.pp5481-5492.

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Cyber forensics is use of scientific methods for definite description of cybercrime activities. It deals with collecting, processing and interpreting digital evidence for cybercrime analysis. Cyber forensic analysis plays very important role in criminal investigations. Although lot of research has been done in cyber forensics, it is still expected to face new challenges in near future. Analysis of digital media specifically photographic images, audio and video recordings are very crucial in forensics This paper specifically focus on digital forensics. There are several methods for digital fore

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Dissertations / Theses on the topic "Audio Forensics"

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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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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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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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Paino, Halil. "Impairment of audit quality: An investigation of factors leading to dysfunctional audit behaviour." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2010. https://ro.ecu.edu.au/theses/1841.

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This thesis studies dysfunctional audit behaviour in the Malaysian context; to date, no previous study has examined this issue. Within this context, the thesis sets outto accomplish two main goals: (1) to investigate the factors contributing to dysfunctional audit behaviour, and (2) to examine whether audit firm, audit team and individual factors affect dysfunctional audit behaviour. This study was carried out to coincide with the Practice Review currently undertaken by the Malaysian Institute of Accountants (M.I.A.), while the current incidence of auditing and accounting scandals in Malaysia

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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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Othman, Rani Diana. "The impact of forensic accounting, investigation and audit on tax compliance in Malaysia." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2011. https://ro.ecu.edu.au/theses/453.

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Evidence of success in improving taxpayers‟ compliance behaviour reflects the effectiveness of the enforcement activities of the tax system. The implementation of a Selfassessment System (SAS), together with improvements in tax enforcement functions, are among the recent tax reforms undertaken in Malaysia as part of this effort. Three levels of compliance, namely filing, reporting and payment have been established as performance indicators for international tax administrator (IRS, 2003). Therefore, by applying three compliance models: Return Per Capita (RCAP), Reported Tax Per Return (RTR) and

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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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Books on the topic "Audio Forensics"

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

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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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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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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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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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Koteneva, Tat'yana. Methodological foundations of forensic economic examination. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2169734.

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The monograph examines the conceptual and legal foundations of forensic economic expertise, taking into account recent changes in the regulatory framework, including accounting and tax accounting. The article highlights the theory of forensic economic expertise, its essence, subject, tasks and organization, issues of methodology and purpose. It is intended for a wide range of readers: researchers, university professors, graduate students, students of the specialties "Jurisprudence", "Economic Security", "Accounting, analysis and Audit", as well as economists, experts, arbitration managers, law

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

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

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Wells, Joseph T. Fraud examination: Investigative and audit procedures. Quorum Books, 1992.

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Wells, Joseph T. Fraud examination: Investigative and audit procedures. Quorum Books, 1992.

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Book chapters on the topic "Audio Forensics"

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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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Zjalic, James. "Audio acoustics." In Digital Audio Forensics Fundamentals. Focal Press, 2020. http://dx.doi.org/10.4324/9780429292200-8.

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Maher, Robert C. "History of Audio Forensics." In Modern Acoustics and Signal Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99453-6_3.

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Maher, Robert C. "Overview of Audio Forensics." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11756-5_6.

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Zjalic, James. "Key audio principles." In Digital Audio Forensics Fundamentals. Focal Press, 2020. http://dx.doi.org/10.4324/9780429292200-5.

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Piva, Alessandro, and Massimo Iuliani. "Integrity Verification Through File Container Analysis." In Multimedia Forensics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7621-5_14.

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AbstractIn the previous chapters, multimedia forensics techniques based on the analysis of the data stream, i.e., the audio-visual signal, aimed at detecting artifacts and inconsistencies in the (statistics of the) content were presented. Recent research highlighted that useful forensic traces are also left in the file structure, thus offering the opportunity to understand a file’s life-cycle without looking at the content itself. This chapter is then devoted to the description of the main forensic methods for the analysis of image and video file formats.

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Wang, Qingqing, and Dengpan Ye. "Robust Anti-forensics on Audio Forensics System." In Lecture Notes in Computer Science. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4761-4_50.

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Conference papers on the topic "Audio Forensics"

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Pimentel, Arthur, Yi Zhu, Heitor R. Guimarães, and Tiago H. Falk. "Efficient Audio Deepfake Detection using WavLM with Early Exiting." In 2024 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE, 2024. https://doi.org/10.1109/wifs61860.2024.10810699.

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Moussa, Denise, Leon Huber, Germans Hirsch, and Christian Riess. "Now ForReal: Towards Practical Forensic Room Identification with Real-World Audio Data." In 2024 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE, 2024. https://doi.org/10.1109/wifs61860.2024.10810676.

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Renukadevi, P., Sincy John, and N. Shivani. "Forensic Science: AI-Powered Image and Audio Analysis." In 2024 5th International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2024. http://dx.doi.org/10.1109/icosec61587.2024.10722068.

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Ullah, Rahmat, Ikram Asghar, Hassan Malik, Gareth Evans, Jawad Ahmad, and Dorothy Anne Roberts. "Enhancing Forensic Audio Transcription with Neural Network-Based Speaker Diarization and Gender Classification." In 2024 International Conference on Engineering and Emerging Technologies (ICEET). IEEE, 2024. https://doi.org/10.1109/iceet65156.2024.10913726.

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Kraetzer, Christian, Andrea Oermann, Jana Dittmann, and Andreas Lang. "Digital audio forensics." In the 9th workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1288869.1288879.

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Malik, Hafiz, and Hany Farid. "Audio forensics from acoustic reverberation." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495479.

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Ikram, Sohaib, and Hafiz Malik. "Digital audio forensics using background noise." In 2010 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2010. http://dx.doi.org/10.1109/icme.2010.5582981.

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Zhao, Hong, and Hafiz Malik. "Audio forensics using acoustic environment traces." In 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319707.

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Kirill, Trapeznikov, Paul Cummer, Pranay Pherwani, et al. "SAFE: Synthetic Audio Forensics Evaluation Challenge." In IH&MMSEC '25: ACM Workshop on Information Hiding and Multimedia Security. ACM, 2025. https://doi.org/10.1145/3733102.3736707.

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Rodgers, Jason, Dr Karl O. Jones, Colin Robinson, Dr Sebastian Chandler Crnigoj, Dr Helen Burrell, and Dr Suzzanne McColl. "Evaluating the Threshold of Authenticity in Deepfake Audio and Its Implications Within Criminal Justice." In 3rd SLIIT International Conference on Engineering and Technology. SLIIT, 2024. http://dx.doi.org/10.54389/jiku1539.

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Deepfake technology has come a long way in recent years and the world has already seen cases where it has been used maliciously. After a deepfake of UK independent financial advisor and poverty champion Martin Lewis was released on social media, a theory has been proposed where the deepfake target is accompanied by additional media to increase the authenticity of the file, for instance, ambient noise or processing to match how the deepfake would sound if it was recorded from a specific device such as a cellular/mobile phone. Focussing on deepfake audio, a critical listening experiment was cond

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Reports on the topic "Audio Forensics"

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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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Issues in Data Processing and Relevant Population Selection. OSAC Speaker Recognition Subcommittee, 2022. http://dx.doi.org/10.29325/osac.tg.0006.

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In Forensic Automatic Speaker Recognition (FASR), forensic examiners typically compare audio recordings of a speaker whose identity is in question with recordings of known speakers to assist investigators and triers of fact in a legal proceeding. The performance of automated speaker recognition (SR) systems used for this purpose depends largely on the characteristics of the speech samples being compared. Examiners must understand the requirements of specific systems in use as well as the audio characteristics that impact system performance. Mismatch conditions between the known and questioned

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