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Human and automatic speaker recognition over telecommunication channels

机译:通过电信渠道进行人工和自动说话人识别

摘要

This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions caused by bandwidth limitation, codecs, and electro-acoustic user interfaces, among other impairments. Its main contribution is the demonstration of the benefits of communication channels of extended bandwidth, together with an insight into how speaker-specific characteristics of speech are preserved through different transmissions. It provides sufficient motivation for considering speaker recognition as a criterion for the migration from narrowband to enhanced bandwidths, such as wideband and super-wideband.
机译:这项工作解决了在由带宽限制,编解码器和电声用户界面等引起的不同通道失真下,对人类和自动说话者识别性能的评估。它的主要贡献是展示了扩展带宽的通信信道的好处,并深入了解了如何通过不同的传输来保留特定于说话者的语音特性。它为考虑将说话者识别作为从窄带到增强带宽(例如宽带和超宽带)的迁移标准提供了充分的动力。

著录项

  • 作者

    Fernández Gallardo Laura;

  • 作者单位
  • 年度 2016
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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