Zobrazeno 1 - 10
of 595
pro vyhledávání: '"Synthetic speech"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-25 (2024)
Abstract In this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research. First, we pioneer an evaluation of the impact of prior information on deepfake recogn
Externí odkaz:
https://doaj.org/article/a3afdb0ac65f447bb3429767907a6bed
Publikováno v:
Dianxin kexue, Vol 40, Pp 63-71 (2024)
Due to the convenience of speech synthesis, synthesized disguised speech poses a great threat to the security of speaker verification systems.In order to further enhance the ability of detecting the camouflage to the speaker verification system, a me
Externí odkaz:
https://doaj.org/article/216103d3695e41288ec9b5ed0c1ddff4
Publikováno v:
Dianxin kexue, Vol 39, Pp 107-115 (2023)
In response to the low accuracy of synthetic speech spoofing detection based on traditional acoustic feature parameters, poor detection performance for unknown types of synthetic speech, and performance degradation in noisy environments, a method for
Externí odkaz:
https://doaj.org/article/0240a5ff5b6e472d9a143c9ded81297c
Publikováno v:
Dianxin kexue, Vol 39, Pp 85-95 (2023)
In order to further improve the accuracy of synthetic speech detection, a synthetic speech detection method using texture feature based on circumferential local ternary pattern (CLTP) was proposed.The method extracted the texture information from the
Externí odkaz:
https://doaj.org/article/42dfacb5921a41899a81fd185178d05b
Autor:
P. Abdzadeh, H. Veisi
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 1, Pp 119-129 (2023)
Automatic Speaker Verification (ASV) systems have proven to bevulnerable to various types of presentation attacks, among whichLogical Access attacks are manufactured using voiceconversion and text-to-speech methods. In recent years, there has beenloa
Externí odkaz:
https://doaj.org/article/c364644f051743b7bf77d2249993350b
Publikováno v:
IEEE Access, Vol 11, Pp 140443-140450 (2023)
The online hard example mining (OHEM) algorithm has been successfully applied for object detection in images. In this paper, we propose an innovative application of the OHEM algorithm for training synthetic speech spoofing detection models, which add
Externí odkaz:
https://doaj.org/article/d013094b9e994b7f9321df2802d17b28
Publikováno v:
IEEE Access, Vol 11, Pp 50851-50866 (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.
Externí odkaz:
https://doaj.org/article/c2020c402d934e3390f647ffb9456fb3
Publikováno v:
Journal of Otorhinolaryngology, Hearing and Balance Medicine, Vol 5, Iss 1, p 5 (2024)
Speech intelligibility is a concern for public health, especially in non-ideal listening conditions where listeners often listen to the target speech in the presence of background noise. With advances in technology, synthetic speech has been increasi
Externí odkaz:
https://doaj.org/article/bface462b9e64fdc887059f172bc2b6b
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