Search Results - "Yusnita, M. A."

Synergistic role of aluminium sulphate flocculation agent as bi-functional dye additive for Dye-Sensitized Solar Cell (DSSC) by Shahrul, A.M., Abdullah, M.H., Mamat, M.H., Syarifah Adilah, MY, Samat, A.A.A., Hamzah, I.H., Yusnita, M.A., Soh, Z.H. Che

“…In this study, an organic dye sensitizer derived from blackberry fruits was employed, and the influence of aluminium sulphate, Al2(SO4)3·H2O (alum) as a…”
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Phoneme-based or isolated-word modeling speech recognition system? An overview by Yusnita, M A, Paulraj, M P, Yaacob, S, Bakar, Shahriman Abu, Saidatul, A, Abdullah, Ahmad Nazri

“…In this paper speech theories and some methodological concerns about feature extraction and classification techniques widely used in speech recognition system…”
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Feature space reduction in ethnically diverse Malaysian English accents classification by Yusnita, M. A., Paulraj, M. P., Yaacob, S., Shahriman, A. B.

“…In this paper we propose a reduced dimensional space of statistical descriptors of mel-bands spectral energy (MBSE) vectors for accent classification of…”
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Automatic gender recognition using linear prediction coefficients and artificial neural network on speech signal by Yusnita, M. A., Hafiz, A. M., Fadzilah, M. Nor, Zulhanip, Aida Zulia, Idris, Mohaiyedin

“…Automatic Gender Recognition (AGR) system is an intelligent machine inspired by the highly advanced skills of human cognitive and developed through adequate…”
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Analysis of EEG signals during relaxation and mental stress condition using AR modeling techniques by Saidatul, A., Paulraj, M. P., Yaacob, S., Yusnita, M. A.

“…Electroencephalography (EEG) is the most important tool to study the brain behavior. This paper presents an integrated system for detecting brain changes…”
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Short-term load forecasting of 415V, 11kV and 33kV electrical systems using MLP network by Saad, Z., Hazirah, A. J. Nur, Suziana, A., Azhar, M. A. A., Yaacob, Z., Ahmad, F., Yusnita, M. A.

“…This research explores a short-term on-line forecasting for load-flow forecasting of three different voltage systems. Upon completing this study, four training…”
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Malaysian English accents identification using LPC and formant analysis by Yusnita, M. A., Paulraj, M. P., Yaacob, S., Bakar, S. A., Saidatul, A.

“…In Malaysia, most people speak several varieties of English known as Malaysian English (MalE) and there is no uniform version because of the existence of…”
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Classification of speaker accent using hybrid DWT-LPC features and K-nearest neighbors in ethnically diverse Malaysian English by Yusnita, M. A., Paulraj, M. P., Yaacob, S., Shahriman, A. B.

“…Accent is a major cause of variability in automatic speaker-independent speech recognition systems. Under certain circumstances, this event introduces…”
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Statistical formant descriptors with linear predictive coefficients for accent classification by Yusnita, M. A., Paulraj, M. P., Yaacob, Sazali, Shahriman, A. B., Mokhtar, Nor Fadzilah

“…Accent is a special trait of human speech that can deliver some information about a speaker's background. At the same time it is one of the profound factors…”
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Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model by Ma, Yusnita, Paulraj, M. P., Yaacob, S., Shahriman, A. B., Nataraj, S. K.

“…Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The…”
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