Text-Independent Speaker Iden tification using Soft Channel Selection in a Multi-Microphone Environment
With the aim of improving speaker identification in a multi-microphone environment, we develop a text-independent speaker identification system. It incorporates soft channel selection before the combination of the identification results obtained by multiple microphones. The results demonstrate that...
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creator | Mikyong Ji Sungtak Kim Hoirin Kim Ho-Sub Yoon |
description | With the aim of improving speaker identification in a multi-microphone environment, we develop a text-independent speaker identification system. It incorporates soft channel selection before the combination of the identification results obtained by multiple microphones. The results demonstrate that the proposed system achieves high classification accuracy, thereby providing a speech interface for a wide range of potential hands-free applications in a ubiquitous environment. |
doi_str_mv | 10.1109/ICCE.2008.4588075 |
format | Conference Proceeding |
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It incorporates soft channel selection before the combination of the identification results obtained by multiple microphones. The results demonstrate that the proposed system achieves high classification accuracy, thereby providing a speech interface for a wide range of potential hands-free applications in a ubiquitous environment.</abstract><pub>IEEE</pub><doi>10.1109/ICCE.2008.4588075</doi></addata></record> |
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ispartof | 2008 Digest of Technical Papers - International Conference on Consumer Electronics, 2008, p.1-2 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Degradation Delay effects Delay estimation Entropy Microphone arrays Microwave integrated circuits Speech enhancement Speech recognition Target recognition Voting |
title | Text-Independent Speaker Iden tification using Soft Channel Selection in a Multi-Microphone Environment |
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