Browsing by Author "Yusnita, Mohd Ali"
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Classification of speaker accent using hybrid DWT-LPC features and K-nearest neighbors in ethnically diverse Malaysian English
Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr. (IEEE Conference Publications, 2012-12)Accent is a major cause of variability in automatic speaker-independent speech recognition systems. Under certain circumstances, this event introduces unsatisfactory performance of the systems. In order to circumvent this ... -
Feature space reduction in ethnically diverse Malaysian English accents classification
Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa , Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr. (IEEE Conference Publications, 2013)In this paper we propose a reduced dimensional space of statistical descriptors of mel-bands spectral energy (MBSE) vectors for accent classification of Malaysian English (MalE) speakers caused by diverse ethnics. Principle ... -
Investigation of robust speech feature extraction techniques for accents classification of Malaysian Engllish speakers
Yusnita, Mohd Ali (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2014)Automatic speech recognition (ASR) system is not a new topic in speech processing and human-machine interaction. It has been established for more than five decades. However, accent remains a great challenge closely related ... -
Malaysian English accents identification using LPC and formant analysis
Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr.; Saidatul, A. (IEEE Conference Publications, 2011-11)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 multi-ethnic population. It is a common scenario that Malaysians ... -
Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model
Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr.; Nataraj, Sathees Kumar (IEEE Conference Publications, 2012-10)Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The growth of voice-controlled technologies has becoming part of our ... -
Statistical formant descriptors with linear predictive coefficients for accent classification
Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa , Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr.; Nor Fadzilah, Mokhtar (Institute of Electrical and Electronics Engineers (IEEE), 2013-06)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 that affects the intelligibility and performance of speech ...