说话人识别的特征提取和建模技术综述

IF 0.6 Q3 Engineering
Spoorti J. Jainar, Pritam Limbaji Sale, B. Nagaraja
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引用次数: 4

摘要

本文综述了一种自动说话人识别技术,重点介绍了近年来出现的最先进的语音活动检测(VAD)、特征提取和说话人建模技术。在语言不匹配环境和数据条件有限的情况下,说话人识别研究人员进行了一些尝试。为了解决鲁棒性问题,我们还详细阐述了语言不匹配和有限数据说话人识别。此外,本文还指出了现有说话人识别系统存在的一些问题,并探讨了说话人识别领域可能改进的领域。最后,我们讨论了未来可能的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VAD, feature extraction and modelling techniques for speaker recognition: a review
This paper reviews an automatic speaker recognition technology, with an emphasis on state-of-the-art voice activity detection (VAD), feature extraction and speaker-modelling techniques that have emerged during the last few years. Researchers in the field of speaker recognition have made a few attempts to recognise the speaker in the language mismatch environment and limited data condition.To address robustness issues, we also elaborate language mismatch and limited data speaker recognition. Further, this paper identified some issues with the existing speaker recognition systems and also investigated areas of possible improvements in speaker recognition field. We conclude the paper with a discussion on the possible future directions.
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2.10
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