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Locality constrained transitive distance clustering on speech data

Publication ,  Conference
Liu, W; Yu, Z; Raj, B; Li, M
Published in: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
January 1, 2015

The idea of developing unsupervised learning methods has received significant attention in recent years. An important application is whether one can train a high quality speaker verification model given large quantities of unlabeled speech data. Unsupervised learning methods such as data clustering often play a central role since they are able to analyze the underlying latent patterns without any supervision information. In this paper, we focus on developing an effective clustering method for speech data. We propose the locality constrained transitive distance, a distance measure which better models speech data with arbitrarily shaped clusters. We also propose a robust top-down clustering framework on top of the distance measure to generate accurate cluster labels. Experimental results show the good performance of the proposed method.

Duke Scholars

Published In

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

EISSN

1990-9772

ISSN

2308-457X

Publication Date

January 1, 2015

Volume

2015-January

Start / End Page

2917 / 2921
 

Citation

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MLA
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Liu, W., Yu, Z., Raj, B., & Li, M. (2015). Locality constrained transitive distance clustering on speech data. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (Vol. 2015-January, pp. 2917–2921).
Liu, W., Z. Yu, B. Raj, and M. Li. “Locality constrained transitive distance clustering on speech data.” In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2015-January:2917–21, 2015.
Liu W, Yu Z, Raj B, Li M. Locality constrained transitive distance clustering on speech data. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2015. p. 2917–21.
Liu, W., et al. “Locality constrained transitive distance clustering on speech data.” Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, vol. 2015-January, 2015, pp. 2917–21.
Liu W, Yu Z, Raj B, Li M. Locality constrained transitive distance clustering on speech data. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2015. p. 2917–2921.

Published In

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

EISSN

1990-9772

ISSN

2308-457X

Publication Date

January 1, 2015

Volume

2015-January

Start / End Page

2917 / 2921