On the application of quantum clustering on speech data

Author:

Farouk M. Hesham

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference22 articles.

1. Aïmeur, E., Brassard, G., & Gambs, S. (2013). Quantum speed-up for unsupervised learning. Machine Learning, 90(2), 261–287.

2. Alotaibi, Y. A., & Husain, A., (2009). Formant Based Analysis of Spoken Arabic Vowels, in Biometric ID Management and Multimodal Communication: Joint COST 2101 and 2102 International Conference, BioID{_}MultiComm 2009, Madrid, Spain, September 16–18, 2009. Proceedings, J. Fierrez, J. Ortega-Garcia, A. Esposito, A. Drygajlo, and M. Faundez-Zanuy, Eds. Berlin: Springer Berlin Heidelberg, pp. 162–169.

3. Benesty, J., Sondhi, M. M., Huang, Y., & Greenberg, S. (2009). Springer handbook of speech processing., Vol. 126, 4.

4. Demir, G. K., (2005). Clustering Within Quantum Mechanical Framework,” in Pattern Recognition and Machine Intelligence: First International Conference, PReMI 2005, Kolkata, India, December 20–22, 2005. Proceedings, S. K. Pal, S. Bandyopadhyay, and S. Biswas, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 182–187.

5. Duda, R. O., Hart, P. E., & Stork, D. G. (2001). Pattern classification. Hoboken, Wiley, p. 680.

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