Browsing Sazali Yaacob, Prof. Dr. by Subject "Speech recognition"

Now showing items 1-5 of 5

    • Development of gender and race recognition system using speech and recognition by using frequency spectrum 

      Ng Siew Fong (School of Mechatronics Engineering, 2008-05)
      In this thesis, the development of an algorithm and system that is able to recognize gender and races by using the speech frequency spectrum is presented. Some of the features extracted are the formant frequency and ...

    • 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 ...

    • 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 ...

    • Vowel classification based on frequency response of vocal tract 

      Paulraj, M.P.; Sazali, Yaacob; Shahrul Azmi, M. Y. (Institute of Electrical and Electronics Engineering (IEEE), 2008-05)
      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 modified feature ...

    • Vowel recognition based on frequency ranges determined by bandwidth approach 

      Paulraj, M. P.; Sazali, Yaacob; Mohd Yusof, S. A. (Institute of Eelectrical and Electronics Engineering (IEEE), 2009-07)
      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 ...