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22 articles for “Part of Speech”
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Research ArticleOpen accessIn the abstractAn Enhancement of Dyslexic Mobile Application using Sight Word Reading Strategy: Results and FindingsNoor Hazlini Borhan, Cheah Wai Shiang, Po-Chan Chiu et al.Dyslexia is an indicating term for learning disorder due to the difficulty in identifying speech and sound of letters and words, causing reading difficulty. Most children with dyslexia utilise the greater part of their senses to connect with their environment. One of the difficulties faced by dyslexic children is their troubles expressing their emotion or thought through verbal or written … …Journal of Computer Science, Vol. 14, Issue 7 · 28 May 2018 · 8,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractStructural Modeling of Fundamental Frequency contour for Thai TonesSuphattharachai ChomphanProblem statement: In Thai, tone is an essential feature of a prosodic syllable to identify the meanings of that syllable or that part of word. To generate the tonal speech with natural prosody, it is needed to manage the fundamental frequency (F0) of the speech appropriately. A successful approach of structural modeling from Mandarin Chinese has been adapted to model … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,122 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalytical Study of Fujisaki’s Model of Fundamental Frequency Contour for Thai TonesSuphattharachai Chomphan, Chutarat ChompunthProblem statement: Tone of a tonal language is an important feature of a prosodic syllable to identify the meanings of that syllable or that part of word. Ii is very crucial to model the feature related to tone of speech to achieve the most naturalness in speech communication. Approach: The study presents an approach to analyze the model parameters of … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 16 Aug 2012 · 6,991 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrontal Arabic Fricative Consonants Characteristics among Primary School Children: Spectral Density Function ApproachNurul Ashikin Abdul-Kadir, Rubita SudirmanProblem statement: Arabic speech recognition system is un-developed until today. By using people of non-Arab nationality, the set of frontal fricative of Arabic consonants are study as the earlier step to develop the recognition system for Malaysian. As most of the developed Arabic speech recognition system for Malaysian are rarely found. Approach: The characteristic of each of the phonemes were … …Journal of Computer Science, Vol. 7, Issue 10 · 9 Aug 2011 · 7,175 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Decision Trees in Context Clustering of Hidden Markov Model Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: In Thai speech synthesis using Hidden Markov model (HMM) based synthesis system, the tonal speech quality is degraded due to tone distortion. This major problem must be treated appropriately to preserve the tone characteristics of each syllable unit. Since tone brings about the intelligibility of the synthesized speech. It is needed to establish the tone questions and other … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 6,844 accessesView PDFCite
Research ArticleOpen accessIn the abstractTone Question of Tree Based Context Clustering for Hidden Markov Model Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: In HMM-based Thai speech synthesis, tone is an important issue that brings about the intelligibility of the synthesized speech. Tone distortion resulted from imbalance of the training data should be appropriately treated. Approach: This study described an HMM-based speech synthesis system for Thai language. In the system, spectrum, pitch and state duration are modeled simultaneously in a unified … …Journal of Computer Science, Vol. 6, Issue 12 · 9 Nov 2010 · 6,820 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Statistical Speech Segmentation Using Connectionist ApproachM. S. Salam, Dzulkifli Mohamad, S. H. SallehProblem statement: Speech segmentation is an important part for speech recognition, synthesizing and coding. Statistical based approach detects segmentation points via computing spectral distortion of the signal without prior knowledge of the acoustic information proved to be able to give good match, less omission but lot of insertion. These insertion points dropped segmentation accuracy. Approach: This study proposed a fusion … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,680 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Software Agent for Speech Abiding SystemsR. Manoharan, K. Vivekanandan, V. SundaramProblem statement: In order to bring speech into the mainstream of business process an efficient digital signal processor is necessary. The Fast Fourier Transform (FFT) and the butter fly structure symmetry will enable the harwaring easier. With the DSP and software proposed, togetherly established by means of a system, named here as “Speech Abiding System (SAS)”, a software agent, which … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,744 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Speech Recognition Using Fusion Techniques and Adaptive FilteringS. A.R. Al-Haddad, S. A. Samad, A. Hussain et al.The study proposes an algorithm for noise cancellation by using recursive least square (RLS) and pattern recognition by using fusion method of Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). Speech signals are often corrupted with background noise and the changes in signal characteristics could be fast. These issues are especially important for robust speech recognition. Robustness is a … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,993 accessesView PDFCite
Research ArticleOpen accessIn the abstractIsolated Malay Digit Recognition Using Pattern Recognition Fusion of Dynamic Time Warping and Hidden Markov ModelsS.A.R. Al-Haddad, S.A. Samad, A. Hussain, K.A. IshakThis paper is presents a pattern recognition fusion method for isolated Malay digit recognition using Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). The aim of the project is to increase the accuracy percentage of Malay speech recognition. This study proposes an algorithm for pattern recognition fusion of the recognition models. The endpoint detection, framing, normalization, Mel Frequency Cepstral … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,049 accessesView PDFCite