Speaker Clustering by Co-Optimizing Deep Representation Learning and Cluster Estimation

Speaker clustering is a task to merge speech segments uttered by the same speaker into a single cluster, which is an effective tool for alleviating the management of massive amount of audio documents. In this paper, we present a work for co-optimizing the two main steps of speaker clustering, namely...

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Vydáno v:	IEEE transactions on multimedia Ročník 23; s. 3377 - 3387
Hlavní autoři:	Li, Yanxiong, Wang, Wucheng, Liu, Mingle, Jiang, Zhongjie, He, Qianhua
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	audio document analysis Clustering Clustering algorithms Clustering methods Decoding deep convolutional autoencoder network deep representation Estimation Feature extraction Learning Neural networks Representations Speaker clustering Speaker recognition Speech
ISSN:	1520-9210, 1941-0077
On-line přístup:	Získat plný text
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