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25 results for “HMM”
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Research ArticleOpen accessIn the keywordsAdvances in Electromyogram Signal Classification to Improve the Quality of Life for the Disabled and Aged PeopleMd. R. Ahsan, Muhammad I. Ibrahimy, Othman O. KhalifaProblem statement: The social demands for the Quality Of Life (QOL) are increasing with the exponentially expanding silver generation. To improve the QOL of the disabled and elderly people, robotic researchers and biomedical engineers have been trying to combine their techniques into the rehabilitation systems. Various biomedical signals (biosignals) acquired from a specialized tissue, organ, or cell system like the … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 8,813 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArabic Speech Pathology Therapy Computer Aided SystemZ. A. Benselama, M. Guerti, M. A. BencherifThis article concerns a computer aided pathological speech therapy program, based on speech models such as the hidden Markov model and artificial intelligence networks, in order to help persons, suffering from language pathologies, follow a correction learning process, with different interactive feedbacks, aiming to evaluate the degree of evolution of the illness or the therapy. We dealt with the Arabic … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,934 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CNN-KNN Based Recognition of Online Handwritten Symbols within Physics Expressions Using Contour-Based Bounding Box (CBBS) Segmentation TechniqueUjwala Kolte, Sachin Naik, Vidya KumbharArtieres, T., Marukatat, S., & Gallinari, P. (2007). Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2), 205–217. https://doi.org/10.1109/tpami.2007.38 Baró, A., Riba, P., Calvo-Zaragoza, J., & Fornés, A. (2019). From Optical Music Recognition to Handwritten Music Recognition: A baseline. Pattern Recognition Letters, 123, 1–8. https://doi.org/10.1016/j.patrec.2019.02.029 Bresler, M., Prua, D., & Hlavác, … …Journal of Computer Science, Vol. 20, Issue 7 · 7 May 2024 · 6,278 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical 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 abstractEVALUATION OF HIDDEN MARKOV MODEL BASED ADAPTIVE PROVISIONING OF OPTICAL BURST SWITCHING NETWORKS AMENABLE FOR UPGRADATION TO GREEN FLEXIGRID NETWORKSP. G.V. Ramesh, Prita NairCatering to the evolving bandwidth-on-demand applications requires flexible provisioning architectures that ensure fairness to both high end and low end users of internet. Dynamic classification of network paths into long and short, based on traffic dependent connection holding times and a wavelength allocation from different subsets for these categories is a necessity for implementing energy saving hybrid switching, loss recovery … …Journal of Computer Science, Vol. 10, Issue 5 · 16 Jan 2014 · 6,517 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Speech Recognition System with Hidden Markov Model and Radial Basis Function Neural NetworkJudith Justin, Ila VennilaWe analyze the performance of continuous speech recognition of a speaker independent system using Hidden Markov Model and Artificial Neural Network. Modern speech recognition systems use different combinations of the standard techniques over the basic approach to improve performance accuracy. One such combination which has gained more attention is the hybrid model. Our hybrid system for continuous speech recognition consists … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,819 accessesView PDFCite
Research ArticleOpen accessIn the abstractObservation 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 abstractImprovement 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
Research ArticleOpen accessIn the abstractThai 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 abstractA New Speaker Recognition System with Combined Feature Extraction TechniquesM. G. Sumithra, K. Thanuskodi, A. Helen Jenifer ArchanaProblem statement: This study introduces a new method for speaker verification system by fusing two different feature extraction methods to improve the recognition accuracy and security. Approach: The proposed system uses Mel frequency cepstral coefficients for speaker identification and Modified MFCC for verification. For speaker modeling vector quantization is used. Results: The proposed system was investigated the effect of the … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,424 accessesView PDFCite