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15 results for “hidden Markov models”
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Research ArticleOpen accessPhrase in the titleIsolated 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 accessPhrase in the titleHIDDEN MARKOV MODELS WITH COVARIATES FOR ANALYSIS OF DEFECTIVE INDUSTRIAL MACHINE PARTSPornpit Sirima, Premysl PokornyMonthly counts of industrial machine part errors are modeled using a two-state Hidden Markov Model (HMM) in order to describe the effect of machine part error correction and the amount of time spent on the error correction on the likelihood of the machine part to be in a &#34defective&#34 or &#34non-defective&#34 state. The number of machine parts errors were collected … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 26 Jul 2014 · 6,859 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 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
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 keywordsTowards 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 abstractA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 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