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Effects of voice disguise on speaking fundamental frequency
The International Journal of Speech, Language and the Law, 2000Patterns of voice disguise in forensic cases involving speaker identification or speaker profiling may contain clues to features of the undisguised voice of a speaker. In a longitudinal and synchronous study, 100 subjects were asked to read a text on five occasions during a period of six months, first using their normal voices, and subsequently with ...
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Detection of Voice Transformation Disguise Based on Deep Residual Net
Proceedings of the 2020 4th International Conference on Cryptography, Security and Privacy, 2020Voice transformation (VT) disguise is used for de-identification which can easily deceive state-of-the-art automatic speaker verification (ASV) systems by dramatically increasing false reject rates, and thus it presents serious threats to social security. However, the researches on VT detection are insufficient.
Yong Wang, Mengge Zhang, Zhengyu Zhu
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Voice Disguise and Automatic Detection: Review and Perspectives
2007This study focuses on the question of voice disguise and its detection. Voice disguise is considered as a deliberate action of the speaker who wants to falsify or to conceal his identity; the problem of voice alteration caused by channel distortion is not presented in this work.
Patrick Perrot +2 more
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Detecting the presence of vocal disguise in the male voice
The Journal of the Acoustical Society of America, 1981This research examined the ability of naive and sophisticated listeners to detect extemporaneous disguise in the male voice. The experimental stimuli were sentences uttered in an undisguised and in a freely disguised fashion. The listeners were asked to decide whether a sentence was disguised or undisguised and to rate his/her degree of confidence in ...
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Blind Detection of Electronic Voice Transformation with Natural Disguise
2013Electronic voice transformation with natural disguise ability is a common operation to change a person's voice and conceal his or her identity, which can easily cheat human ears and automatic speaker recognition(ASR) systems and thus presents threaten to security. Till now, few efforts have been reported on detection of electronic transformation, which
Yong Wang +3 more
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Identification of Electronic Disguised Voices in the Noisy Environment
2017Since voice disguise has been an increasing tendency in illegal application, which brings great negative impact on establishing the authenticity of audio evidence for audio forensics, especially in noisy environment. Thus it is very important to have the capability of identifying whether a suspected voice has been disguised or not. However, few studies
Wencheng Cao +4 more
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The effect of voice disguise on Automatic Speaker Recognition
2010 3rd International Congress on Image and Signal Processing, 2010In this paper the effect of 10 kinds of disguise voices on the performance of a Forensic Automatic Speaker Recognition System (FASRS) was studied. 10 types of disguised voices and normal voices from 20 male college students were used as test samples.
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Voice Disguise Using a Foreign Accent: Phonetic and Linguistic Variation
The International Journal of Speech, Language and the Law, 2009Voice disguise can potentially occur in every recording that is associated with an offence. One possible manner is the use of voice disguise by adopting a foreign accent. The aim of the presented study was to examine how well native German speakers could produce a foreign accent (French) and in particular to describe the accent’s main features.
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A Voice Disguise Communication System Based on Real-Time Voice Conversion
2023 8th International Conference on Computer and Communication Systems (ICCCS), 2023Yang Li +7 more
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Influence of Natural Voice Disguise Techniques on Automatic Speaker Recognition
2018 Joint Conference - Acoustics, 2018The problem of voice disguise is usually investigated in the context of surveillance and forensics. The biometric techniques applied for automatic or subj ective speaker recognition can be deliberately or non-deliberately misled by technical or natural methods.
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