Auditory discrimination of natural speech and synthetic speech used as voice disguise

Amino, Kanae; Makinae, Hisanori; Kamada, Toshiaki

doi:10.1250/ast.39.48

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Automatic or Human Identification?1

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2018

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“…As TTS improve over time, the generated voices are closer to human voice than some decades ago. Therefore, current studies should be performed, as the one pointed out in [Amino et al 2018].…”

Section: Automatic or Human Identification?mentioning

confidence: 99%

Voice Disguise in Automatic Speaker Recognition

Farrús

2018

ACM Comput. Surv.

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We, humans, are able to identify other people even in voice disguise conditions. However, we are not immune to all voice changes when trying to identifying people from voice. Likewise, automatic speaker recognition systems can also be deceived by voice imitation and other types of disguise. Taking into account the voice disguise classification into the combination of two different categories (deliberate/non-deliberate and electronic/non-electronic), this survey provides a literature review on the influence of voice disguise in the automatic speaker recognition task and the robustness of these systems to such voice changes. Additionally, the survey addresses existing applications dealing with voice disguise and analyses some issues for future research.

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Section: Automatic or Human Identification?mentioning

confidence: 99%

Voice Disguise in Automatic Speaker Recognition

Farrús

2018

ACM Comput. Surv.

View full text Add to dashboard Cite

show abstract

Auditory discrimination of natural speech and synthetic speech used as voice disguise

Cited by 1 publication

References 12 publications

Voice Disguise in Automatic Speaker Recognition

Voice Disguise in Automatic Speaker Recognition

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