The attention-based encoder-decoder technique,known as the trans-former,is used to enhance the performance of end-to-end automatic speech recognition(ASR).This research focuses on applying ASR end-toend transformer-ba...
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The attention-based encoder-decoder technique,known as the trans-former,is used to enhance the performance of end-to-end automatic speech recognition(ASR).This research focuses on applying ASR end-toend transformer-based models for the Arabic language,as the researchers’community pays little attention to *** Muslims Holy Qur’an book is written using Arabic diacritized *** this paper,an end-to-end transformer model to building a robust Qur’an *** is *** acoustic model was built using the transformer-based model as deep learning by the PyTorch framework.A multi-head attention mechanism is utilized to represent the encoder and decoder in the acoustic *** filter bank is used for feature *** build a language model(LM),the Recurrent Neural Network(RNN)and Long short-term memory(LSTM)were used to train an n-gram word-based *** a part of this research,a new dataset of Qur’an verses and their associated transcripts were collected and processed for training and evaluating the proposed model,consisting of 10 h *** recitations performed by 60 *** experimental results showed that the proposed end-to-end transformer-based model achieved a significant low character error rate(CER)of 1.98%and a word error rate(WER)of 6.16%.We have achieved state-of-the-art end-to-end transformer-based recognition for Qur’an reciters.
Cross-Site Scripting (XSS) is one of the most grievous vulnerabilities-a pitfall through which web applications are affected. These types of attacks are complex, and the available threat landscape is always changing, ...
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The Vehicle Routing Problem with Time Windows (VRPTW) is a challenging combinatorial optimization problem with many real-world applications. In this paper, we propose a Deep Reinforcement Learning (DRL) approach for s...
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The utilization of Data-Driven Machine Learning (DDML) models in the healthcare sector poses unique challenges due to the crucial nature of clinical decision-making and its impact on patient outcomes. A primary concer...
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The multi-skills resource-constrained project scheduling problem (MS-RCPSP) is assigning tasks to employees while considering predecessor tasks and multi-skills constraints to create a feasible schedule with both the ...
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Handwritten Digit Recognition (HDR) is a widely used technology that has been demonstrated in various research topics. However, there are many limitations because everyone's handwriting is different, including imp...
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Cancer is one of the most devastating health conditions in the world. In the diagnosis and treatment of the various forms of cancer illness, studies have shown that early detection of the cancer by clinical methods us...
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The transitions individuals make between roles are critical for navigating professional and private life domains. These role transitions involve physical and psychological movements between positions and statuses in s...
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作者：
Ratanavilisagul, Chiabwoot
Faculty of Applied Science Department of Computer and Information Science Bangkok Thailand
multi-skills resource-constrained project scheduling problem (MS-RCPSP) is assigned to employees under the predecessor tasks constraint and the multi-skills constraint in order to create the feasible schedule with bot...
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Clean water requires accurate water quality categorization. A water potability (WP) dataset with pH, hardness, solids, chloramines, sulfate, conductivity, and other metrics for 3276 water bodies was used in this paper...
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