Speaker indexing using neural network clustering of vowel spectra

被引：3
|
作者：
Roy D.K. [1 ]
机构：
[1] MIT Media Lab., Cambridge, MA 02139
来源：
International Journal of Speech Technology | 1997年 / 1卷 / 2期
关键词：
Audio retrieval; Audio skimming; Speaker indexing;
D O I：
10.1007/BF02277195
中图分类号：
学科分类号：
摘要：
Speaker indexing refers to the process of separating speakers within a recording and assigning indices to each unique speaker. This paper describes a new speaker indexing algorithm which dynamically generates and trains a neural network to model each postulated speaker found within a recording. Each neural network is trained to differentiate the vowel spectra of one specific speaker from all other speakers. A method for combining speaker indexing and other annotations of a recording in a general framework is also presented. The speaker indexing system is currently being incorporated into several application systems in the Speech Group at the MIT Media Lab. © 1997 Kluwer Academic Publishers.
引用
收藏
页码：143 / 149
页数：6
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