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28 results for “Hidden Markov Model”
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Research ArticleOpen accessPhrase in the titleTone 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 keywordsFeature Extraction Method for Improving Speech Recognition in Noisy EnvironmentsYoussef Zouhir, Kaïs OuniThe paper presents a feature extraction method, named as Normalized Gammachirp Cepstral Coefficients (NGCC) that incorporates the properties of the peripheral auditory system to improve robustness in noisy speech recognition. The proposed method is based on a second order low-pass filter and normalized gammachirp filterbank to emulate the mechanisms performed in the outer/middle ear and cochlea. The speech recognition performance … …Journal of Computer Science, Vol. 12, Issue 2 · 25 Mar 2016 · 7,866 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStatistical Parametric Evaluation on New Corpus Design for Malay Speech Articulation Disorder Early DiagnosisMohd Nizam Mazenan, Tan Tian Swee, Tan Hui Ru, Azran AzhimSpeech-to-Text or always been known as speech recognition plays an important role nowadays especially in medical area specifically in speech impairment. In this study, a Malay language speech-to-Text system was been designed by using Hidden Markov Model (HMM) as a statistical engine with emphasizing the way of Malay speech corpus design specifically for Malay articulation speech disorder. This study also … …American Journal of Applied Sciences, Vol. 12, Issue 7 · 4 Aug 2015 · 6,496 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLOW FOOTPRINT HIGH INTELLIGIBILITY MALAY SPEECH SYNTHESIZER BASED ON STATISTICAL DATALau Chee Yong, Tan Tian SweeSpeech synthesis plays a pivotal role nowadays. It can be found in various daily applications such as in mobile phones, navigation systems, languages learning software and so on. In this study, a Malay language speech synthesizer was designed using hidden Markov model to improve the performance of current Malay speech synthesizer and also extend Malay speech technology. Statistical parametric method … …Journal of Computer Science, Vol. 10, Issue 2 · 19 Nov 2013 · 6,722 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA REVIEW ON THE DEVELOPMENT OF INDONESIAN SIGN LANGUAGE RECOGNITION SYSTEMSutarman, Mazlina Abdul Majid, Jasni Mohamad ZainSign language is mainly employed by hearing-impaired people to communicate with each other. However, communication with normal people is a major handicap for them since normal people do not understand their sign language. Sign language recognition is needed for realizing a human oriented interactive system that can perform an interaction like normal communication. Sign language recognition basically uses two approaches: … …Journal of Computer Science, Vol. 9, Issue 11 · 27 Sep 2013 · 8,691 accessesView PDFCite
Research ArticleOpen accessIn the keywordsObservation Modeling for Continuous Predicting Global and Diffuse Solar Radiation on Horizontal SurfaceSomporn Hongkong, Singthong PattanasethanonMathematical modeling for continuous prediction of solar energy is inevitable for energy systems. General, existing models are mostly empirical and data dependent. This article has to present a variable model for predicting global and diffuse solar radiation on the horizontal plane. The model considered in this study has applied Hidden Markov Model (HMM) with two observations. The databases were measured … …American Journal of Environmental Sciences, Vol. 9, Issue 3 · 23 May 2013 · 6,797 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThai Speech Phonology for Development of Speech Synthesis: A ReviewSuphattharachai ChomphanProblem statement: To implementation of the Hidden Markov Model (HMM)-based Thai speech synthesis system, it is necessary to understand the phonology system for a language. Without the phonological information, the contextual factors of tree-based context clustering cannot be completed. Approach: The existing speech units in Thai are studied thoroughly so that the synthesis system can provide all of them in … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 27 Dec 2011 · 6,960 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStatistical Part-of-Speech Tagger for Traditional Arabic TextsYahya O. Mohamed ElhadjProblem statement: This study presented the development of an Arabic part-of-speech tagger that can be used for analyzing and annotating traditional Arabic texts, especially the Quran text. Approach: It is a part of a project related to the computerization of the Holy Quran. One of the main objectives in this project was to build a textual corpus of the Holy … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,026 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Threads to Overcome Synchronization Delays in Parallel Multiple Progressive Alignment AlgorithmsEvandro A. Marucci, Geraldo F.D. Zafalon, Julio C. Momente et al.Problem statement: The parallelization of multiple progressive alignment algorithms is a difficult task. All known methods have strong bottlenecks resulting from synchronization delays. This is even more constraining in distributed memory systems, where message passing also delays the interprocess communication. Despite these drawbacks, parallel computing is becoming increasingly necessary to perform multiple sequence alignment. Approach: In this study, it is … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 8 Mar 2012 · 14,192 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImprovement of Tone Intelligibility for Average-Voice-Based Thai Speech SynthesisSuphattharachai Chomphan, Chutarat ChompunthProblem statement: Tone intelligibility in speech synthesis is an important attribute that should be taken into account. The tone correctness of the synthetic speech is degraded considerably in the average-voice-based HMM-based Thai speech synthesis. The tying mechanism in the decision tree based context clustering without appropriate criterion causes unexpected tone neutralization. Incorporation of the phrase intonation to the context clustering … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 24 Jan 2012 · 6,969 accessesView PDFCite