Voice disguise in automatic speaker recognition
Humans 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...
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| Tipo de documento: | Artigo |
| Estado: | Accepted version |
| Data de publicação: | 2018 |
| País: | España |
| Recursos: | Universitat Pompeu Fabra |
| Repositório: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/35866 |
| Acesso em linha: | http://hdl.handle.net/10230/35866 http://dx.doi.org/10.1145/3195832 |
| Nível de acesso: | Acesso aberto |
| Palavra-chave: | Speaker recognition Voice disguise Voice imitation Voice conversion Channel degradation Robustness |
| Resumo: | Humans 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. |
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