Web
Education
Viewing 1-6 of 6 total results
M-S Salam, Dzulkifli Mohamad, S-H Salleh Segmentation of ...
Abstract. This study present segmentation of syllables in Malay connected digit speech. Segmentation was done in time domain signal using statistical approaches namely the Brandt’s Generalized Likelihood Ratio (GLR) algorithm and Divergence algorithm....
Improved Statistical Speech Segmentation Using ...
Improved Statistical Speech Segmentation Using Connectionist Approach 1M.S. Salam, 1Dzulkifli Mohamad and 2S.H. Salleh 1Faculty of Computer Science and Information System, 2Faculty of Biomedical Engineering and Science, University Technology Malaysia, 81310 UTM Skudai, Johor, Malaysia...
Dr. Md.Sah Hj Salam - Universiti Teknologi Malaysia
Md Sah Hj Salam, Dzulkifli Mohamad dan S-H Salleh (2007), “ Syllable Segmentation in Malay Connected Digit Using Statistical Approach ”, Proc. Int.Conf. on Instrumentation Communication and Information Technology, ICICI ’07, Bandung, Indonesia....
A Novel Method for Fast Change-Point Detection on ...
Salam M, Mohamad D (2008) Segmentation of Malay Syllables in connected digit speech using statistical approach. International Journal of Computer Science and Security 2: 23–33. View Article Google Scholar 25.
A Fast Method for Abrupt Change Detection ... - SpringerLink
Salam, M., Mohamad, D.: Segmentation of Malay Syllables in connected digit speech using statistical approach. International Journal of Computer Science and Security 2, 23–33 (2008) Google Scholar 11.
Computational Intelligence and Neuroscience - Hindawi
M. Salam and D. Mohamad, “Segmentation of Malay Syllables in connected digit speech using statistical approach,” International Journal of Computer Science and Security, vol. 2, pp. 23–33, 2008. View at Google Scholar
|
iSEEK provides users with a Favorites library that allows them easy access to their most-used websites from any computer. If you have an iSEEK account, the content you just selected can be added to your Favorites page to be revisited any time you want.
If you would like to join the iSEEK community, click the "Register" button below to create your free iSEEK account. The resource you have selected will be added to your new Favorites library after you sign in for the first time.
If you already have an iSEEK account, click the button below to sign in and add the resource to your Favorites library.