A speaker rediarization scheme for improving diarization in large two-speaker telephone datasets
Ghaemmaghami, Houman, Dean, David, & Sridharan, Sridha (2014) A speaker rediarization scheme for improving diarization in large two-speaker telephone datasets. In 22nd European Signal Processing Conference (EUSIPCO 2014), 1-5 September 2014, Lisbon, Portugal.
In this paper we propose a novel scheme for carrying out speaker diarization in an iterative manner. We aim to show that the information obtained through the first pass of speaker diarization can be reused to refine and improve the original diarization results. We call this technique speaker rediarization and demonstrate the practical application of our rediarization algorithm using a large archive of two-speaker telephone conversation recordings. We use the NIST 2008 SRE summed telephone corpora for evaluating our speaker rediarization system. This corpus contains recurring speaker identities across independent recording sessions that need to be linked across the entire corpus. We show that our speaker rediarization scheme can take advantage of inter-session speaker information, linked in the initial diarization pass, to achieve a 30% relative improvement over the original diarization error rate (DER) after only two iterations of rediarization.
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|Item Type:||Conference Paper|
|Keywords:||Speaker rediarization, diarization, speaker linking, complete-linkage clustering, cross-likelihood ratio|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2014 Please consult the authors|
|Deposited On:||08 Sep 2014 03:51|
|Last Modified:||19 Mar 2015 09:54|
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