Research ArticleOpen accessIn the abstractFish Classification Based on Robust Features Extraction From Color Signature Using Back-Propagation ClassifierMutasem Khalil Alsmadi, Khairuddin Bin Omar, Shahrul Azman Mohd NoahProblem statement: Image recognition was a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractFujisaki's Model of Fundamental Frequency Contours for Thai DialectsSuphattharachai ChomphanProblem statement: In general, there are a number of rural dialects in Thai. However, four dialects are mainly spoken by Thai people residing in four core region including central, north, northeast and south regions. Recognizing and synthesizing Thai speech with different dialects are consequently difficult. Approach: Prosody is an important factor that must be taken into account, since the prosody … …Journal of Computer Science, Vol. 6, Issue 11 · 19 Nov 2010 · 7,263 accessesView PDFCite
Research ArticleOpen accessIn the abstractAcoustic Model Adaptation for Indonesian Language Utterance Training SystemLinda Indrayanti, Yoshifumi Chisaki, Tsuyoshi UsagawaProblem statement: In order to build an utterance training system for Indonesian language, a speech recognition system designed for Indonesian is necessary. However, the system hardly works well due to the pronunciation variants of non-native utterances may lead to substitution/deletion error. This research investigated the pronunciation variant and proposes acoustic model adaptation to improve performance of the system. Approach: The … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,168 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Speaker Recognition: Babylon Levantine Subset Case StudyMansour Alsulaiman, Youssef Alotaibi, Muhammad Ghulam et al.Problem statement: Researchers on Arabic speaker recognition have used local data bases unavailable to the public. In this study we would like to investigate Arabic speaker recognition using a publically available database, namely Babylon Levantine available from the Linguistic Data Consortium (LDC). Approach: Among the different methods for speaker recognition we focus on Hidden Markov Models (HMM). We studied the … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,243 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 abstractA Microscopic Study of Language-Related Cortex in AutismEdith López-Hurtado, Jorge J. PrietoImpaired language function is a principle criterion for the diagnosis of autism. The present study of brain from age-matched autistic and control subjects compared brain regions associated with the production and processing of speech. Wernicke's area (Brodmann 22, speech recognition), Broca's area (Brodmann 44, speech production) andthe gyrus angularis (Brodmann 39, reading) from autistic subjects (7-44 years of age) and … …American Journal of Biochemistry and Biotechnology, Vol. 4, Issue 2 · 30 Jun 2008 · 8,544 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 accessIn the abstractSpeaker Recognition Using Spectral Cross-correlation: A Fast AlgorithmZoubir HamiciThis study presents an original algorithm for computing the cross-correlation function applied for speech recognition A spectral correlation estimation algorithm based on the comparing the magnitude spectrum of the two signals is presented. The number of samples is reduced by a factor of two, after eliminating the image spectrum. A moving average filter is used to smooth the magnitude spectrum … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 5,013 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAddressing Emergency Communication Challenges: Deep Learning Solutions for the Speech and Hearing- ImpairedPoornima B V, Srinath S et al.Emergency communication plays a very important role in ensuring that help reaches people promptly and safely in case of any emergency. However, the biggest problem faced by those who cannot speak and hear properly is to convey their message clearly and understand others. In this regard, the proposed research work focuses on recognizing emergency gestures made in the Indian Sign … …Journal of Computer Science, Vol. 22, Issue 5 · 1 Jun 2026 · 1,063 accessesView PDFCite