Text-Independent Speaker Identification in a Distant-Talking Multi-Microphone Environment(Speech and Hearing)
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概要
- 論文の詳細を見る
With the aim of improving speaker identification, we propose a likelihood-based integration method to combine the speaker identification results obtained through multiple microphones. In many cases, the composite result has lower error rate than that by any single channel. The proposed integration method can achieve more reliable identification performance in the ubiquitous robot companion (URC) environment in which the robot is connected to a server through an extremely high broadband penetration rate.
- 社団法人電子情報通信学会の論文
- 2007-11-01
著者
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KIM HoiRin
Information and Communications University
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Kim Hoirin
Korea Advanced Inst. Sci. And Technol. Daejeon Kor
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Kim Hoirin
School Of Engineering At Information And Communications University
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KIM Sungtak
School of Engineering at Information and Communications University
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JI Mikyong
School of Engineering at Information and Communications University
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JI Mikyong
Information and Communications University
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KIM Sungtak
Information and Communications University
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