A new penalty term for the BIC with respect to speaker diarization
In this paper we examine a new penalty term for the Bayesian Information Criterion (BIC) that is suited to the problem of speaker diarization. Based on our previous approach of penalizing each cluster only with its effective sample size - an approach we called segmental - we propose a stricter penal...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2010
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| Online Access: | https://eprints.nottingham.ac.uk/31422/ |
| _version_ | 1848794197730000896 |
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| author | Stafylakis, Themos Tzimiropoulos, Georgios Katsouros, Vassilis Carayannis, George |
| author_facet | Stafylakis, Themos Tzimiropoulos, Georgios Katsouros, Vassilis Carayannis, George |
| author_sort | Stafylakis, Themos |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | In this paper we examine a new penalty term for the Bayesian Information Criterion (BIC) that is suited to the problem of speaker diarization. Based on our previous approach of penalizing each cluster only with its effective sample size - an approach we called segmental - we propose a stricter penalty term. The criterion we derive retains the main property of the Segmental-BIC, i.e. it approximates the evidence of overall partitions of the data and simultaneously leads to a pairwise dissimilarity measure that is completely defined by the pair of clusters in question. The experimental results show significant improvement in diarization accuracy on the ESTER benchmark. |
| first_indexed | 2025-11-14T19:12:22Z |
| format | Conference or Workshop Item |
| id | nottingham-31422 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:12:22Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-314222020-05-04T20:25:56Z https://eprints.nottingham.ac.uk/31422/ A new penalty term for the BIC with respect to speaker diarization Stafylakis, Themos Tzimiropoulos, Georgios Katsouros, Vassilis Carayannis, George In this paper we examine a new penalty term for the Bayesian Information Criterion (BIC) that is suited to the problem of speaker diarization. Based on our previous approach of penalizing each cluster only with its effective sample size - an approach we called segmental - we propose a stricter penalty term. The criterion we derive retains the main property of the Segmental-BIC, i.e. it approximates the evidence of overall partitions of the data and simultaneously leads to a pairwise dissimilarity measure that is completely defined by the pair of clusters in question. The experimental results show significant improvement in diarization accuracy on the ESTER benchmark. 2010 Conference or Workshop Item PeerReviewed Stafylakis, Themos, Tzimiropoulos, Georgios, Katsouros, Vassilis and Carayannis, George (2010) A new penalty term for the BIC with respect to speaker diarization. In: ICASSP 2010 - 2010 IEEE International Conference on Acoustics Speech and Signal Processing, 14-19 March 2010, Dallas, USA. Bayes Methods Speaker Recognition Bayesian Information Criterion Cluster Analysis Speaker Diarization http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5495076 |
| spellingShingle | Bayes Methods Speaker Recognition Bayesian Information Criterion Cluster Analysis Speaker Diarization Stafylakis, Themos Tzimiropoulos, Georgios Katsouros, Vassilis Carayannis, George A new penalty term for the BIC with respect to speaker diarization |
| title | A new penalty term for the BIC with respect to speaker diarization |
| title_full | A new penalty term for the BIC with respect to speaker diarization |
| title_fullStr | A new penalty term for the BIC with respect to speaker diarization |
| title_full_unstemmed | A new penalty term for the BIC with respect to speaker diarization |
| title_short | A new penalty term for the BIC with respect to speaker diarization |
| title_sort | new penalty term for the bic with respect to speaker diarization |
| topic | Bayes Methods Speaker Recognition Bayesian Information Criterion Cluster Analysis Speaker Diarization |
| url | https://eprints.nottingham.ac.uk/31422/ https://eprints.nottingham.ac.uk/31422/ |