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Roomprints for forensic audio applications [PDF]

open access: yes2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013
A roomprint is a quantifiable description of an acoustic environment which can be measured under controlled conditions and estimated from a monophonic recording made in that space. We here identify the properties required of a roomprint in forensic audio applications and review the observable characteristics of a room that, when extracted from ...
Alastair H. Moore   +2 more
openaire   +4 more sources

Forensic Investigation of MP3 Audio Recordings

open access: yesТеория и практика судебной экспертизы, 2020
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 ...
A. G. Boyarov, I. S. Siparov
doaj   +3 more sources

Detection of cloned voices in realistic forensic voice comparison scenarios [PDF]

open access: yesFrontiers in Artificial Intelligence
Deepfakes and synthetic audio significantly degrade the performance of automatic speaker recognition systems commonly used in forensic laboratories. We investigate the effectiveness of Mel-Frequency Cepstral Coefficients (MFCCs) for detecting cloned ...
Pedro Univaso, Eugenia San Segundo
doaj   +2 more sources

Explainable AI for forensic speech authentication within cognitive and computational neuroscience [PDF]

open access: yesFrontiers in Neuroscience
The proliferation of deepfake technologies presents serious challenges for forensic speech authentication. We propose a deep learning framework combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks to improve detection
Zhe Cheng   +4 more
doaj   +2 more sources

Audio Forensics on Smartphone with Digital Forensics Research Workshop (DFRWS) Method

open access: yesCommIT Journal, 2021
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 ...
Sunardi Sunardi   +3 more
doaj   +3 more sources

Blind speaker identification for audio forensic purposes

open access: yesDyna, 2017
This paper presents a blind method for speaker identification for audio forensics purposes. It is based on a decision system with fuzzy rules and works with the correlation between the cochleagrams of the audio proof and of the audios of the suspects ...
Dora Maria Ballesteros-Larrota   +2 more
doaj   +4 more sources

Validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools

open access: yesForensic Science International: Synergy, 2022
This paper reports on validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools. This is an open-code human-supervised-automatic forensic-voice-comparison system based on x-vectors extracted using a type of Deep
Philip Weber   +6 more
doaj   +1 more source

Does Automatic Speech Recognition (ASR) Have a Role in the Transcription of Indistinct Covert Recordings for Forensic Purposes?

open access: yesFrontiers in Communication, 2022
The transcription of covert recordings used as evidence in court is a huge issue for forensic linguistics. Covert recordings are typically made under conditions in which the device needs to be hidden, and so the resulting speech is generally indistinct ...
Debbie Loakes, Debbie Loakes
doaj   +1 more source

Deep Audio Analyzer: A Framework to Industrialize the Research on Audio Forensics

open access: yes2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023
Deep Audio Analyzer is an open source speech framework that aims to simplify the research and the development process of neural speech processing pipelines, allowing users to conceive, compare and share results in a fast and reproducible way. This paper describes the core architecture designed to support several tasks of common interest in the audio ...
Valerio Francesco Puglisi   +2 more
openaire   +2 more sources

TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection

open access: yesIEEE Access, 2023
With the rapid development of deep learning techniques, the generation and counterfeiting of multimedia material has become increasingly simple. Current technology enables the creation of videos where both the visual and audio contents are falsified ...
Davide Salvi   +4 more
doaj   +1 more source

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