Now showing items 1-4 of 4

    • Malaysian vowel recognition based on spectral envelope using bandwidth approach 

      Fadzilah, Siraj; Shahrul Azmi, M. Y.; Paulraj, Murugesapandian; Sazali, Yaacob (Institute of Electrical and Electronics Engineering (IEEE), 2009-05-25)
      Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice. In this paper, a new feature extraction ...
    • Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA 

      Phak Len, Eh Kan; Rafikha Aliana, Raof; Ahmad Nasir, Che Rosli; Razaidi, Hussin (Universiti Malaysia Perlis, 2009-10-11)
      Feature extraction of speech is one of the most important issues in the field of speech recognition and representative of the speech. Mel Frequency Cepstral Coefficient (MFCC) is one the most important features required ...
    • Recognition of speech processing based on arabic pronunciation: A review 

      N.S.Z. Zainon; Muhamad Asmi, Romli; Sazali, Yaacob, Prof. Dr.; Zahari, Awang Ahmad (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This paper come out with a review on the speech processing research based on Arabic words. It aim to give a better review on the speech processing based on the Arabic words focusing on the specialty of the language due to ...
    • A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm 

      Tahereh Hassanzadeh; Karim Faez; Golnaz Seyfi (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Speech recognition technology is a technology that allows a computer to recognize the speech and the words that express through the microphone or speaks by phone. A Fuzzy Neural Network (FNN) is a learning approach that ...