Now showing items 1-5 of 5

    • 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 ...
    • Neural network models for speech inteligibility assessment in university classroom 

      Paulraj, M. P.; Ahmad Nazri; Sivanandam, S.N.; Thagirarani, M. (Kongu Engineering College, 2008-01-03)
      Adequate speech intelligibility should be the primary goal in acoustical design of classrooms. Typical design parameters are reverberation time and background noise level. However for predicting the Speech Transmission ...
    • Speaker verification based on speech signal 

      Shariffah Fauziah, Jap; Chekima, Ali; Mazlina, Mamat; Wan Mahani, Abdullah (Universiti Malaysia Perlis, 2009-10-11)
      This paper presents the initial effort to perform speaker verification by utilizing the speech signal characteristics found in individual’s voice to recognize its speaker. A total of six speakers from different backgrounds ...
    • Speech processing of Malay Velar words using PSD 

      Mohd Yusof, Baharuddin (Universiti Malaysia Perlis, 2009-10-11)
      Sound classification for Malay words is still in preliminary stage. Velar stops study is the nearest because the usage of word ‘g’ and ‘k’ in ‘kelas’ and ‘gelas’ which is used in this study between male and female subjects. ...
    • A speech recognition system for Malaysian English pronunciation using Neural Network 

      Paulraj, M.P.; Sazali, Yaacob; Ahamad Nazri; Sathees Kumar (Universiti Malaysia Perlis, 2009-10-11)
      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 ...