Abstract
This paper investigates various approaches to segmentation of media streams into speaker homogenous segments and approaches to clustering of speakers within a speaker diarization system for processing of broadcast audio. Evaluated segmentation approaches are all based on the widely used Bayesian Information Criterion (BIC). They differ in a strategy for choice of the length of the window (fixed or variable) and in a strategy for estimation of the decision threshold (fixed or adaptive). Further, we compare two bottom-up clustering approaches. The traditional BIC-based clustering is compared with the approach based on a measure of the distance between GMMs estimated for the data of clusters by the Maximum A Posteriori (MAP) adaptation.
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References
Nouza, J., Zdansky, J., Cerva, P., Kolorenc, J.: Continual On-line Monitoring of Czech Spoken Broadcast Programs. In: Proceedings of 7th International Conference on Spoken Language Processing (ICSLP 2006), Pittsburgh, pp. 1650–1653 (2006)
Chen, S.S., Gopalakrishnan, P.S.: Speaker, environment and channel change detection and clustering via the Bayesian information criterion. In: Proceedings 1998 DARPA Broadcast News Transcription and Understanding Workshop, Lansdowne, pp. 127–132 (1998)
Tranter, S.E., Reynolds, D.A.: An overview of automatic speaker diarization systems. IEEE Transactions on Audio, Speech, Language Processing 14(5), 1557–1565 (2006)
Meignier, S., Moraru, D., Fredouille, C., Bonastre, J.-F., Besacier, L.: Step-by-Step and integrated approaches in broadcast news speaker diarization. Computer Speech And Language (20), 303–330 (2005)
Ben, M., Bester, M., Bimbot, F., Gravier, G.: Speaker diarization using bottom-up clustering based on a parameter-derived distance between adapted GMMs. In: Proceedings of 8th International Conference Spoken Language Processing, Jeju Island, pp. 2329–2332 (2004)
Reynolds, D.A., Quatieri, T., Dunn, R.: Speaker verification using adapted Gaussian mixture models. Digital Signal Processing 10(1-3), 19–41 (2000)
Gauvain, J.-L., Lamel, L., Adda, G.: Partitioning and transcription of broadcast news data. In: Proceedings International Conference Spoken Language Processing, Sydney, pp. 1335–1338 (1998)
Lopez-Otero, P., Fernandez, L.D., Garcia-Mateo, C.: Novel strategies for reducing the false alarm rate in a speaker segmentation system. In: Proceedings of ICASSP 2010, Dallas, pp. 4970–4973 (2010)
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Prazak, J., Silovsky, J. (2011). Comparison of Segmentation and Clustering Methods for Speaker Diarization of Broadcast Stream Audio. In: Esposito, A., Vinciarelli, A., Vicsi, K., Pelachaud, C., Nijholt, A. (eds) Analysis of Verbal and Nonverbal Communication and Enactment. The Processing Issues. Lecture Notes in Computer Science, vol 6800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25775-9_21
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DOI: https://doi.org/10.1007/978-3-642-25775-9_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25774-2
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