Results 171 to 180 of about 537 (208)
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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 0252 +7 more
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Detecting voice disguise from speech variability: Analysis of three glottal and vocal tract measures
Proceedings of Meetings on Acoustics, 2014 The deliberate attempt by speakers to conceal their identity (voice disguise) presents a challenge for forensics and for automated speaker identification systems.
Pina Marziliano
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Identification of Electronic Disguised Voices
IEEE Transactions on Information Forensics and Security, 2014Since voice disguise has been an increasing tendency in illegal applications, and it has a great negative impact on establishing the authenticity of audio evidence for audio forensics, it is important to be able to identify whether a suspected voice has been disguised or not. However, few studies on such identification have been reported. In this paper,
Haojun Wu, Yong Wang, Jiwu Huang
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The question of disguised voice
The Journal of the Acoustical Society of America, 2008State of the art automatic speaker recognition systems show very good results in the discrimination between different speakers under controlled recording conditions. In a forensic context, the conditions are uncontrolled and voice can be disguised. In cases of terrorism claim, extortion or kidnapping, it is of great interest for offenders to conceal ...
Patrick Perrot, Gerard Chollet
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Voice Spectrograms as a Function of Age, Voice Disguise, and Voice Imitation
The Journal of the Acoustical Society of America, 1971In order to determine if speech spectrograms can be used to identify human beings, two questions must be studied: (1) does the formant structure of phonemes uttered by a certain speaker change over a long interval of time, and (2) can the formant structure be changed by disguise, or is it even possible to imitate the formant structure of another ...
W, Endres, W, Bambach, G, Flösser
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Blind detection of electronic disguised voice
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013Since voice disguise has great negative impact on establishing authenticity of audio evidence in forensics, and has shown an increasing tendency in illegal applications, it is important to identify whether a suspected voice has been disguised or not. However, research on such detection has not been reported.
Haojun Wu, Yong Wang, Jiwu Huang
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Multistyle Training and Fusion for Speaker Identification of Disguised Voice
, 2013 Speaker identification research faces challenges due to mismatched training and test conditions, arising out of several factors. Non-electronic voice disguise is one of such factor and is commonly seen in crimes. This paper presents a study of the effect of three different types of voice disguises, taken from the CHAINS speech corpus for the speaker ...
Prasad, Swati +2 more
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The effects of voice disguise upon formant transition
ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005The second degree polynomial approximation coefficients of formant transition and transition duration, as the speaker specific aspects, have been studied under normal and diguised speech conditions. The speech material in this study consists of 10 segments occuring in a text read by twenty speakers.
Lü Shinan, A. Almeida
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Multimedia analysis for disguised voice and classification efficiency
Multimedia Tools and Applications, 2018For multimedia analysis of electronic disguised method is a speech editing process in which the characteristics of voice have been changed. Frequency spectrum characteristics of the speech signal during electronic disguised have also changed. In this paper proposed a method for deriving an algorithm for extracted the efficiency of disguised voice from ...
Mahesh K. Singh +2 more
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Speaker Identification for Disguised Voices Based on Modified SVM Classifier
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), 2021Since voice disguise forms a significant threat in the plethora of illegal applications, it is essential to be able to identify the unknown speaker. This work focuses on scheming a modified Support Vector Machine (SVM) as a classifier to enhance the degraded speaker identification performance for disguised voices under an extreme high-pitched condition
Noor Ahmad Al Hindawi +2 more
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