Browsing Sazali Yaacob, Prof. Dr. by Subject "Neural networks (Computer science)"

Now showing items 1-10 of 10

    • 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 ...

    • Damage detection in steel plates using discrete cosine transformation techniques and artificial neural network 

      Paulraj, M.P.; Mohd Shukry, Abdul Majid; Sazali, Yaacob; Mohd Hafiz, Fazalul Rahiman; R Pranesh, Krishnan (Universiti Malaysia Perlis, 2009-10-11)
      In this paper, a simple method for crack identification in steel plates based on the Frame Energy based Discrete Cosine Transformation [DCT] moments is presented. A simple experimental procedure is also proposed to measure ...

    • Motorbike engine faults diagnosing system using Entropy and Functional Link Neural Network in wavelet domain 

      Paulraj, M.P.; Sazali, Yaacob; Mohd Zubir, Md Zin (Universiti Malaysia Perlis, 2009-10-11)
      The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ...

    • Overview of automatic stuttering recognition system 

      Lim, Sin Chee; Ooi, Chia Ai; Sazali, Yaacob (Universiti Malaysia Perlis, 2009-10-11)
      Stuttering is a speech disorder. The flow of speech is disrupted by involuntary repetitions and prolongation of sounds, syllables, words or phrases, and involuntary silent pauses or blocks in communication. Stuttering 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 psychoacoustic parameters using radial basic functions neural network 

      Paulraj, M.P.; Sazali, Yaacob; Ahmad Nazri; M., Thagirarani (Karpagam College of Engineering, 2008-02-01)
      The ability of human listeners to estimate psychoacoustic parameters from the speakers speech levels at different listener's positions in a classroom is an interesting and not yet thoroughly examined phenomenon. The goal ...

    • 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 ...

    • Segmentation and location computation of bin objects 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Ars International, 2007)
      In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the ...

    • 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 ...

    • Stereo vision system for a bin picking adept robot 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Universiti Malaya, 2007)
      In bin picking applications, robots are required to pick up an object from a pile of stacked or scattered objects placed in a bin. To perform such tasks, identification of the objects to be picked using a vision system is ...