Applying Hybrid Neural Network For Malay Syllables Speech Recognition

  title={Applying Hybrid Neural Network For Malay Syllables Speech Recognition},
  author={G. K. Eng and A. bin Ahmad},
  journal={TENCON 2005 - 2005 IEEE Region 10 Conference},
We proposed a hybrid technique for speech recognition which applying 2 different neural network architecture. The proposed technique combines self-organizing map (SOM) which known as unsupervised network and multilayer perceptron (MLP) which known as supervised network for Malay syllables speech recognition. We used a 2D self-organizing feature map as a feature extractor which acts as a sequential mapping function in order to transform the acoustic vector sequences of speech signal into… Expand
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