Applying Hybrid Neural Network For Malay Syllables Speech Recognition

@article{Eng2005ApplyingHN,
  title={Applying Hybrid Neural Network For Malay Syllables Speech Recognition},
  author={Goh Kia Eng and A. M. bin Ahmad},
  journal={TENCON 2005 - 2005 IEEE Region 10 Conference},
  year={2005},
  pages={1-4}
}
  • Goh Kia Eng, A.M. bin Ahmad
  • Published in
    TENCON - IEEE Region 10…
    2005
  • Computer Science
  • 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… CONTINUE READING

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    Citations

    Publications citing this paper.
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    A review: Malay speech recognition and audio visual speech recognition

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    Malay speech recognition in normal and noise condition

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