A channel-blind system for speaker verification
A channel-blind system for speaker verification
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DOI：
10.1109/icassp.2011.5947363
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发表时间：
2011-05
期刊：
影响因子：
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通讯作者：
N. Dehak;Z. Karam;D. Reynolds;Réda Dehak;W. Campbell;James R. Glass
中科院分区：
文献类型：
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作者：
N. Dehak;Z. Karam;D. Reynolds;Réda Dehak;W. Campbell;James R. Glass
NIST说话人识别评估中提出的大多数说话人验证系统都以要处理的数据类型为条件：电话或麦克风。在本文中，我们提出了一个新的说话人确认系统，可以适用于这两种类型的数据。该系统是基于总变异框架的扩展，称为盲系统。建议的通道独立系统的识别结果与需要对通道类型进行调节的最新系统的状态相当。我们提出的系统的另一个优点是，它允许在同一个可视化中组合来自多个通道的数据，以探索不同麦克风和收集环境的影响。
The majority of speaker verification systems proposed in the NIST speaker recognition evaluation are conditioned on the type of data to be processed: telephone or microphone. In this paper, we propose a new speaker verification system that can be applied to both types of data. This system, named blind system, is based on an extension of the total variability framework. Recognition results with the proposed channel-independent system are comparable to state of the art systems that require conditioning on the channel type. Another advantage of our proposed system is that it allows for combining data from multiple channels in the same visualization in order to explore the effects of different microphones and collection environments.