On the Influence of Automatic Segmentation and Clustering in Automatic Speech Recognition

Author:

Lopez-Otero Paula,Docio-Fernandez Laura,Garcia-Mateo Carmen,Cardenal-Lopez Antonio

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Campbell, W.M., Sturim, D.E., Reynolds, D.A., Solomonoff, A.: SVM based speaker verification using a GMM supervector kernel and NAP variability compensation. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 97–100 (2006)

2. Cardenal-Lopez, A., Dieguez-Tirado, F.J., Garcia-Mateo, C.: Fast LM look-ahead for large vocabulary continuous speech recognition using perfect hashing. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 1, pp. 705–708 (2002)

3. CLUTO - software for clustering high-dimensional datasets, http://glaros.dtc.umn.edu/gkhome/cluto/cluto/overview

4. Garcia-Mateo, C., Dieguez-Tirado, J., Docio-Fernandez, L., Cardenal-Lopez, A.: Transcrigal: A bilingual system for automatic indexing of broadcast news In: Proceedings of LREC 2004: Fourth International Conference on Language Resources and Evaluation, pp. 2061–2064 (2004)

5. Herbig, T., Gerl, F., Minker, W.: Fast Adaptation of Speech and Speaker Characteristics for Enhanced Speech Recognition in Adverse Intelligent Environments. In: Proceedings of 6th International Conference on Intelligent Environments, pp. 100–105 (2010)

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