Comparison of Tied-Mixture and State-Clustered HMMs with Respect to Recognition Performance and Training Method

By  

Journal of Information Technology Research (JITR), Vol. 7, Iss. 3, 2014-07 ,pp. : 15-31

IGI Global_journal

Access to resources Recommend Favorite

Extended Tied-Mixture HMMs for Both Labeled and Unlabeled Time Series Data

By  

Journal of VLSI Signal Processing, Vol. 37, Iss. 2-3, 2004-06 ,pp. : 189-197

Springer Publishing Company

Access to resources Recommend Favorite

Efficient speech recognition using subvector quantization and discrete-mixture HMMS

By Digalakis V.   Tsakalidis S.   Harizakis C.   Neumeyer L.  

Computer Speech & Language, Vol. 14, Iss. 1, 2000-01 ,pp. : 33-46

Academic Press

Access to resources Recommend Favorite

Unstable density stratification in binary mixture

By Shevtsova V.   Melnikov D.   Legros J.C.  

Progress in Computational Fluid Dynamics, An International Journal, Vol. 6, Iss. 6, 2006-08 ,pp. : 348-356

Inderscience Publishers

Access to resources Recommend Favorite

Task segmentation in a mobile robot by mnSOM: a new approach to training expert modules

By Aziz Muslim M.   Ishikawa Masumi   Furukawa Tetsuo  

Neural Computing & Applications, Vol. 16, Iss. 6, 2007-10 ,pp. : 571-580

Springer Publishing Company

Access to resources Recommend Favorite