Roziati Zainuddin

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In the present paper, a fuzzy rule-based system (FRBS) is designed to serve as a decision support system for Coronary heart disease (CHD) diagnosis that not only considers the decision accuracy of the rules but also their transparency at the same time. To achieve the two above mentioned objectives, we apply a multi-objective genetic algorithm to optimize(More)
This research paper aims to develop an isolated-word automatic speech recognition (IWASR) system based on vector quantization (VQ). This system receives, analyzes, searches and matches an input speech signal with the trained set of speech signals which are stored in the database/codebook, and returns matching results to users. IWASR is meant to assist(More)
Automatic Speaker Recognition technology has recently been implemented in large number of commercial areas successfully. Speaker recognition is being used in voice based biometrics; voice controlled appliances, security control for confidential information, remote access to computers and many more interesting areas. This paper introduces text dependent(More)
Reduction of feature space of visual descriptors has become important due to the ‘curse of dimensionality’ problem. This paper reports the efficiency and effectiveness of the Compacted Dither Pattern Code (CDPC) combined with the Bhattacharyya classifier over MPEG-7 Dominant Colour Descriptor (DCD). Both the CDPC and DCD syntactic features use a compact(More)
This paper describes and proposes an efficient and effective framework for the design and development of a speaker-independent continuous automatic Arabic speech recognition system based on a phonetically rich and balanced speech corpus. The speech corpus contains a total of 415 sentences recorded by 40 (20 male and 20 female) Arabic native speakers from 11(More)
Speech recognition has provided limited converted speech into text as query for cross language information retrieval (CLIR). Therefore, in this study, speech recognition to be integrated with cross language information retrieval system to investigate the Quran system results performance using semantic and stemmers as stemming semantic spoken query (SSSQ).(More)