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...
| Author: | |
|---|---|
| Format: | Article |
| Status: | Accepted version |
| Publication date: | 2018 |
| Country: | España |
| Institution: | Universitat Pompeu Fabra |
| Repository: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/35866 |
| Online Access: | http://hdl.handle.net/10230/35866 http://dx.doi.org/10.1145/3195832 |
| Access Level: | Open access |
| Keyword: | Speaker recognition Voice disguise Voice imitation Voice conversion Channel degradation Robustness |
| _version_ | 1878732145566941184 |
|---|---|
| author | Farrús, Mireia |
| author_browse | Farrús, Mireia |
| author_facet | Farrús, Mireia |
| author_role | author |
| collection | Repositorio Digital de la UPF |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_3d70c19ba941dd2e09ecd4df3154d3ad |
| institution | Universitat Pompeu Fabra |
| instname_str | Universitat Pompeu Fabra |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:repositori.upf.edu:10230/35866 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| publisher | ACM Association for Computer Machinery |
| publisherStr | ACM Association for Computer Machinery |
| reponame_str | Repositorio Digital de la UPF |
| spelling | Voice disguise in automatic speaker recognition Farrús, Mireia Speaker recognition Voice disguise Voice imitation Voice conversion Channel degradation Robustness 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. ACM Association for Computer Machinery http://hdl.handle.net/10230/35866 http://dx.doi.org/10.1145/3195832 |
| spellingShingle | Voice disguise in automatic speaker recognition Farrús, Mireia Speaker recognition Voice disguise Voice imitation Voice conversion Channel degradation Robustness |
| status_str | acceptedVersion |
| title | Voice disguise in automatic speaker recognition |
| title_full | Voice disguise in automatic speaker recognition |
| title_fullStr | Voice disguise in automatic speaker recognition |
| title_full_unstemmed | Voice disguise in automatic speaker recognition |
| title_short | Voice disguise in automatic speaker recognition |
| title_sort | Voice disguise in automatic speaker recognition |
| topic | Speaker recognition Voice disguise Voice imitation Voice conversion Channel degradation Robustness |
| topic_facet | Speaker recognition Voice disguise Voice imitation Voice conversion Channel degradation Robustness |
| url | http://hdl.handle.net/10230/35866 http://dx.doi.org/10.1145/3195832 |