Speaker linking using complete-linkage clustering

Ghaemmaghami, Houman, Dean, David, & Sridharan, Sridha (2012) Speaker linking using complete-linkage clustering. In SST 2012 14th Australasian International Conference on Speech Science and Technology, Macquarie University, Sydney, Australia .

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Abstract

Speaker diarization determines instances of the same speaker within a recording. Extending this task to a collection of recordings for linking together segments spoken by a unique speaker requires speaker linking. In this paper we propose a speaker linking system using linkage clustering and state-of-the-art speaker recognition techniques. We evaluate our approach against two baseline linking systems using agglomerative cluster merging (AC) and agglomerative clustering with model retraining (ACR). We demonstrate that our linking method, using complete-linkage clustering, provides a relative improvement of 20% and 29% in attribution error rate (AER), over the AC and ACR systems, respectively.

Impact and interest:

8 citations in Web of Science®
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ID Code: 57369
Item Type: Conference Paper
Refereed: Yes
Keywords: speaker diarization, speaker linking, speaker attribution, complete-linkage, joint factor analysis, cross-likelihood ratio, agglomerative clustering
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2012 ASSTA
Deposited On: 19 Feb 2013 02:37
Last Modified: 19 Jun 2014 06:56

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