Speaker attribution of Australian broadcast news data

Ghaemmaghami, Houman, Dean, David, & Sridharan, Sridha (2013) Speaker attribution of Australian broadcast news data. In Proceedings of the First Workshop on Speech, Language and Audio in Multimedia (SLAM): CEUR Workshop Proceedings, Volume 1012, Sun SITE Central Europe , Marseille, France, pp. 72-77.

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Speaker attribution is the task of annotating a spoken audio archive based on speaker identities. This can be achieved using speaker diarization and speaker linking. In our previous work, we proposed an efficient attribution system, using complete-linkage clustering, for conducting attribution of large sets of two-speaker telephone data. In this paper, we build on our proposed approach to achieve a robust system, applicable to multiple recording domains. To do this, we first extend the diarization module of our system to accommodate multi-speaker (>2) recordings. We achieve this through using a robust cross-likelihood ratio (CLR) threshold stopping criterion for clustering, as opposed to the original stopping criterion of two speakers used for telephone data. We evaluate this baseline diarization module across a dataset of Australian broadcast news recordings, showing a significant lack of diarization accuracy without previous knowledge of the true number of speakers within a recording. We thus propose applying an additional pass of complete-linkage clustering to the diarization module, demonstrating an absolute improvement of 20% in diarization error rate (DER). We then evaluate our proposed multi-domain attribution system across the broadcast news data, demonstrating achievable attribution error rates (AER) as low as 17%.

Impact and interest:

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ID Code: 63498
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISSN: 1613-0073
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
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2013 [please consult the author]
Deposited On: 20 Oct 2013 22:19
Last Modified: 11 Apr 2014 17:17

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