dc.contributor.author | Paulraj, M.P. | |
dc.contributor.author | Sazali, Yaacob | |
dc.contributor.author | Ahamad Nazri | |
dc.contributor.author | Sathees Kumar | |
dc.date.accessioned | 2009-11-13T02:10:02Z | |
dc.date.available | 2009-11-13T02:10:02Z | |
dc.date.issued | 2009-10-11 | |
dc.identifier.citation | p.2B6 1 - 2B6 5 | en_US |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/7281 | |
dc.description | Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. | en_US |
dc.description.abstract | The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and
its sub-group to another. In this paper, an automatic vowel classification system based on linear predictive coding (LPC) and
neural network is presented to understand the English pronunciation as spoken by Malaysians. A database consisting of
11 words recorded from 10 speakers is created and used in this work. The input signal is pre-emphasised and frames features are extracted using LPC; a simple feedforward neural network trained by conventional backpropagation procedure in four different modes of activation functions is also proposed. To stabilize the cumulative error versus epoch training and to minimize the training time, a systole activation function is also
proposed. The results obtained from the neural network trained by systole activation function are compared with the sigmoidal activation functions. | en_US |
dc.description.sponsorship | Technical sponsored by IEEE Malaysia Section | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis | en_US |
dc.relation.ispartofseries | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) | en_US |
dc.subject | LPC Coefficients | en_US |
dc.subject | Back Propagation Neural Network | en_US |
dc.subject | Systole Activation Function | en_US |
dc.subject | Neural networks (Computer science) | en_US |
dc.subject | Automatic speech recognition | en_US |
dc.subject | Speech perception | en_US |
dc.subject | Speech processing systems | en_US |
dc.title | A speech recognition system for Malaysian English pronunciation using Neural Network | en_US |
dc.type | Working Paper | en_US |
dc.contributor.url | satheesjuly4@gmail.com | en_US |