spoken language recognition
AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... Automatic spoken language recognition refers to a sequence of processes aim to transfer human perception ability of identifying spoken languages to machine using computer ...on language ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... Fingerprint Recognition by Minutia Score Matching mode ...fingerprint recognition system based on a compensating the non-linear distortions may occur in ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... There are some very useful resources for the named entity recognition task such as the early work Benajiba, et al. [19], in which he builds annotated Corpora called, ANERcorp, a manually annotated corpus in Arabic ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... Open new social media channels to increase outreach to the community Increase social media activity by prioritizing social media platform with highest traffic Increase the number of offl[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... Thus the FHB method is appropriate to use when the population sized is very large Based on the application study the FHB provides the estimators better than the direct estimators since t[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... Information technology plays vital task in sustaining knowledge management processes, such as acquisition, sharing, conversion and application of knowledge.. This study explores the real[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... At this stage, the operator used is a stopword filter (dictionary) because of the dataset used in Indonesian language. In this process first made a list of words that include stopwords and then the file will be ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... The hybrid model used the K-means clustering algorithm to discover the strength patterns of the attributes as well minimized data is classified using bagging ensemble techniques to impro[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... Figure 14: Performance Comparison of cosine, Pearson Correlation, angular and Tanimoto, 10 realizations using similar QFM signal under pink noise m=130... Performance cosine, Pearson Cor[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... The obtained results showed that the average time for matching for all NSL-KDD dataset records, based on Brute-force algorithm, Boyer-Moore algorithm, Horspool algorithm, Knuth-Morris-Pr[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... end if end for 𝑟𝑒𝑡𝑢𝑟𝑛 𝑚𝑖𝑛 ℎ 𝑥 𝑒𝑛𝑑 𝑓𝑜𝑟𝑒𝑎𝑐ℎ Apply hash function again ki=MD5𝑚𝑖𝑛 ℎ 𝑥 𝑟𝑒𝑡𝑢𝑟𝑛 𝑘𝑖 Until End Minhash calculate of one shingle } End Minhash Function Choose Cryptography algorit[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... As depicted in Figure 1, when a user submits a medical query, the query is pre-processed using a set of Natural Language Processing (NLP) steps including tokenization, stop words removal and stemming (using Porter ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... The purpose of this study is to examine how technostress negatively affects IT acceptance, more specifically, it is intended to reveal "how the psychological state of technostress at the[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... The quantitative methodology is employed to inspect the information quality of e-services web portals as perceived by students enrolled in Saudi universities in order to explore the rela[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... This paper compares the speed of Baby-step Giant-step method and Pollard Rho with Brent Cycle Detection method to cause Total Break, which in turn is used to attack Digital Signature Alg[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... The research hypothesis for T-2: IT are used to analyze data in the form of numbers, Operations has a positive and significant both the measurement results and the results of transform[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... The empirical study to verify the final framework has proved its results and implementation of the modules related to the operations of the framework and the credibility of the mechanism[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... 5. The results indicated that purchasing decision were influenced by the exchange of information presence of a statistically significant impact after the exchange of information. (Pavalou et al, this result is consistent ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... EXTRACTING THE FACTORS INFLUENCING THE USE OF COMMUNITY-BASED TRAVELER INFORMATION SYSTEMS BY ANALYSING COMMUTING CRITICAL INCIDENTS ABDALLAH NAMOUN Faculty of Computer and Information S[r] ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... Based on the obstacles and ideas of a new innovation in modifying the countenance model, then the formulation of the research problem is “how is the initial concept of countenance evalua[r] ...
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