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20 articles for “Hidden Markov Model (HMM)”
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Research ArticleOpen accessIn the abstractTowards the Development of Speaker-Dependent and Speaker-Independent Hidden Markov Model-Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: Tone distortion in Thai languages can deteriorate not only the intelligibility of speech but also its naturalness. Therefore, the correctness of tone must be carefully taken into account in continuous speech synthesis. The preliminary work confronted this problem when applying HMM-based speech synthesis to Thai. Approach: This study presented a study on speaker-dependent and speaker-independent Hidden Markov Model … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 6,925 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical 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 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
Research ArticleOpen accessAll words, across the recordEVALUATION 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 accessAll words, across the recordImprovement 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 accessAll words, across the recordDesign of Tree Structure in Context Clustering Process of Hidden Markov Model-Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: In HMM-based Thai speech synthesis, the tone degradation due to the imbalance of training data of all tones. Some distortion of syllable duration is obviously noticeable when the system is trained with a small amount of data. These problems cause the decrement in naturalness and intelligibility of the synthesized speech. Approach: This study proposes an approach to improve … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 14 Jan 2012 · 6,955 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Control of Fundamental Frequency Contour for Hidden Markov Model-Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: In the conventional HMM-based speech synthesis system for Thai, there is no control of fundamental frequency control in the synthesis stage. The tone correctness of the synthesized speech is unacceptable due to the imbalance of training data of all tones. Approach: This study proposes a mathematical model to control the F0 contour of the synthesized speech. This control … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 26 Dec 2011 · 7,053 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordTone 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 accessAll words, across the recordArabic 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