Recognising speakers from the topics they talk about

Author:

Baum Doris

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference31 articles.

1. Baum, D., December 2009. Topic-based speaker recognition for german parliamentary speeches. In: IEEE Automatic Speech Recognition and Understanding Workshop (ASRU ’09). Merano, Italy.

2. Biatov, K., Köhler, J., June 2002. Methods and tools for speech data acquisition exploiting a database of german parliamentary speeches and transcripts from the internet. In: Proceedings of the 3rd International Conference on Language Resources and Evaluation (LREC ’02). Las Palmas, Spain.

3. Blei, D.M., Jordan, M.I., 2003. Modeling annotated data. In: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in information retrieval. SIGIR ’03. ACM, New York, NY, USA, pp. 127–134.

4. Latent dirichlet allocation;Blei;Journal of Machine Learning Research,2003

5. Branavan, S., Chen, H., Eisenstein, J., Barzilay, R., June 2008. Learning document-level semantic properties from free-text annotations. In: Proceedings of ACL-08: HLT. Association for Computational Linguistics, Columbus, Ohio, pp. 263–271.

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