Farrús, Mireia2018-11-272018-11-272018Farrús M. Voice disguise in automatic speaker recognition. ACM Comput Surv. 2018 Sep 4;51(4):68. DOI: 10.1145/31958320360-0300http://hdl.handle.net/10230/35866Humans are able to identify other people’s voices even in voice disguise conditions. However, we are not immune to all voice changes when trying to identify 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 analyzes some issues for future research.application/pdfeng© ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Computer Surveys2018 Sep 4;51(4):68. http://doi.acm.org/10.1145/10.1145/3195832Voice disguise in automatic speaker recognitioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1145/3195832Speaker recognitionVoice disguiseVoice imitationVoice conversionChannel degradationRobustnessinfo:eu-repo/semantics/openAccess