Now showing items 1-3 of 3

    • Classroom speech intelligibility prediction using backpropagation Neural Network 

      Paularaj, M. P.; Sazali, Yaacob; Ahmad Nazri; Thagirarani, M. (Coimbatore Institute of Technology, 2007-08-27)
      In terms of individual communication, speech is the most important and efficient means, even in today's multi-media society. Thus, classrooms are mainly used for delivering speech between lecturers and students, it is ...
    • Prediction of classroom speech clarity using backpropagation neural network 

      Paularaj, M. P.; Sazali, Yaacob; Ahmad Nazri; Thagirarani, M (Universiti Kebangsaan Malaysia, 2007-11-27)
      A classroom's acoustic design should be constructed so that the highest possible degree of speech intelligibility is achieved for teachers and students. In achieving the highest possible speech intelligibility, the acoustical ...
    • Prediction of Reverberation time in university classrooms using Neural Network 

      Paularaj, M. P.; Mohd Shukry, Abdul Majid; Sazali, Yaacob; Hariharan, M.; Wan Mohd Ridzuan, Wan Ab Majid (Universiti Kebangsaan Malaysia, 2007)
      Reverberation time is fundamental to the study of the acoustics of an enclosed space. An important objective of architectural acoustics is to predict the reverberation time in an enclosed space. Reverberation time is also ...