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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Hauptverfasser: Mikyong Ji, Sungtak Kim, Hoirin Kim, Ho-Sub Yoon
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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
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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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