Digital multimedia audio forensics: past, present and future

M Zakariah, MK Khan, H Malik - Multimedia tools and applications, 2018 - Springer
Digital audio forensics is used for a variety of applications ranging from authenticating audio
files to link an audio recording to the acquisition device (eg, microphone), and also linking to …

Machine learning in digital forensics: a systematic literature review

T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

A novel audio forensic data-set for digital multimedia forensics

MK Khan, M Zakariah, H Malik… - Australian Journal of …, 2018 - Taylor & Francis
Today, digital multimedia (audio, video, images) is a common evidential source in litigation
and criminal justice proceedings, and, not surprisingly, multimedia forensics is an active …

Audio recording device identification based on deep learning

S Qi, Z Huang, Y Li, S Shi - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
In this paper we present a research on identification of audio recording devices from
background noise, thus providing a method for forensics. The audio signal is the sum of …

A cross-verification approach for protecting world leaders from fake and tampered audio

M Shan, TJ Tsai - arXiv preprint arXiv:2010.12173, 2020 - arxiv.org
This paper tackles the problem of verifying the authenticity of speech recordings from world
leaders. Whereas previous work on detecting deep fake or tampered audio focus on …

Substantiating the fundamental fitness of deep learning neural networks for construction of a phonogram digital processing detection system

VI Solovyov, OV Rybalskiy, VV Zhuravel - Cybernetics and Systems …, 2020 - Springer
The authors use the model of a deep learning neuron network to substantiate and verify
principal applicability of such network to create a highly effective examination tool for …

Snoring sound classification using efficient spectral features and SVM for smart pillow

BM Kim, CB Moon - Journal of the Korea Industrial Information …, 2018 - koreascience.kr
Severe snoring can lead to OSA (Obstructive Sleep Apnea), which can lead to life-
threatening cases, and snoring can lead to serious pernicious relationships. In order to solve …

[PDF][PDF] Обоснование принципиальной возможности применения нейронных сетей глубокого обучения для построения системы выявления следов цифровой …

ВИ Соловьев, ОВ Рыбальский… - … и системный анализ, 2020 - jnas.nbuv.gov.ua
На модели нейронной сети глубокого обучения обоснована и проверена
принципиальная пригодность данной сети для создания высокоr эффективного …

[PDF][PDF] ОБЩАЯ МЕТОДИКА ВЫСОКОЭФФЕКТИВНОЙ ДИАГНОСТИКИ СЛЕДОВ МОНТАЖА В ЦИФРОВЫХ ФОНОГРАММАХ. GENERAL METHODOLOGY OF …

ОВ Рыбальский, ВИ Соловьев, ВВ Журавель - 2019 - suchasnaspectehnika.com
Диагностика аутентичности фонограмм обúединяет исследования оригинальности (т.
е. первичности) фонограммы и наличия (или отсутствия) в ней следов монтажа …

[PDF][PDF] USE OF TECHNOLOGICAL ERRORS OF EQUIPMENT MANUFACTURING: DIGITAL SOUNDTRACKS AND DIGITAL RECORDING

O Rybalskyi, V Sereda, V Solovyov, Z Zhyvko - mest.meste.org
The article deals with the theoretical bases of creating examination tools for the authenticity
of digital soundtracks and identification of digital recording equipment based on a new …