Cluster-based voice activity detection for mobile devices
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Park, Sangjun | ko |
| dc.contributor.author | Lee, Seunghyung | ko |
| dc.contributor.author | Park, Jinuk | ko |
| dc.contributor.author | Hahn, Minsoo | ko |
| dc.date.accessioned | 2023-10-11T03:00:49Z | - |
| dc.date.available | 2023-10-11T03:00:49Z | - |
| dc.date.created | 2023-10-11 | - |
| dc.date.issued | 2016-01 | - |
| dc.identifier.citation | IEEE International Conference on Consumer Electronics, ICCE 2016, pp.149 - 150 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/313148 | - |
| dc.description.abstract | A voice activity detection in mobile environments is not performed well due to arbitrary noises. In this paper, a robust voice activity detection framework for mobile devices is proposed. The unsupervised clustering and discriminative weight training of each cluster is employed to model various characteristics of arbitrary noises. | - |
| dc.language | English | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.title | Cluster-based voice activity detection for mobile devices | - |
| dc.type | Conference | - |
| dc.identifier.wosid | 000386327000060 | - |
| dc.identifier.scopusid | 2-s2.0-84965104191 | - |
| dc.type.rims | CONF | - |
| dc.citation.beginningpage | 149 | - |
| dc.citation.endingpage | 150 | - |
| dc.citation.publicationname | IEEE International Conference on Consumer Electronics, ICCE 2016 | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | Las Vegas, NV | - |
| dc.identifier.doi | 10.1109/ICCE.2016.7430558 | - |
| dc.contributor.localauthor | Hahn, Minsoo | - |
| dc.contributor.nonIdAuthor | Lee, Seunghyung | - |
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