Results 101 to 110 of about 14,332 (195)

End-to-end handwritten Ge’ez multiple numerals recognition using deep learning

SICE Journal of Control, Measurement, and System Integration
Ge'ez has been used in Ethiopian churches for centuries to read and interpret the Bible. As a part of the liturgy and religious ceremonies, it is also utilized in prayer and chanting.
Ruchika Malhotra, Maru Tesfaye Addis
doaj   +1 more source

Deep Multilevel Cascade Residual Recurrent Framework (MCRR) for Sheet Music Recognition

IEEE Access
Sheet music recognition is a vital technology aimed at converting printed or handwritten musical scores into digital or machine-readable formats.
Ping Yu, Hailing Chen
doaj   +1 more source

LipSyncNet: A Novel Deep Learning Approach for Visual Speech Recognition in Audio-Challenged Situations

IEEE Access
In recent lip-reading technologies, deep learning methodologies have emerged as the key, transcending the limitations of traditional hybrid Deep Neural Network-Hidden Markov Model (DNN-HMM) frameworks based on Discrete Cosine Transform (DCT) features ...
S. A. Amutha Jeevakumari, Koushik Dey
doaj   +1 more source

Machine Learning Approach for Arabic Handwritten Recognition

Applied Sciences
Text recognition is an important area of the pattern recognition field. Natural language processing (NLP) and pattern recognition have been utilized efficiently in script recognition.
A. M. Mutawa, Mohammad Y. Allaho, Monirah Al-Hajeri   +2 more
doaj   +1 more source

Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach

Proceedings of the AAAI Conference on Artificial Intelligence
Text recognition methods are gaining rapid development. Some advanced techniques, e.g., powerful modules, language models, and un- and semi-supervised learning schemes, consecutively push the performance on public benchmarks forward. However, the problem of how to better optimize a text recognition model from the perspective of loss functions is ...
Zhang, Ziyin, Lu, Ning, Liao, Minghui, Huang, Yongshuai, Li, Cheng, Wang, Min, Peng, Wei   +6 more
openaire   +2 more sources

Helium Speech Recognition Method Based on Spectrogram with Deep Learning

Big Data and Cognitive Computing
With the development of the marine economy and the increase in marine activities, deep saturation diving has gained significant attention. Helium speech communication is indispensable for saturation diving operations and is a critical technology for deep
Yonghong Chen, Shibing Zhang, Dongmei Li
doaj   +1 more source

Enhancing Arabic handwritten word recognition: a CNN-BiLSTM-CTC architecture with attention mechanism and adaptive augmentation

Discover Applied Sciences
Optical character recognition (OCR) for Arabic presents unique challenges due to the script's cursive nature, contextual letter forms, multiple ligatures, the presence of diacritics, and the high variability in handwritten styles. This work introduces an
Bounour Imane, Ammour Alae, Khaissidi Ghizlane, Mostafa Mrabti   +3 more
doaj   +1 more source

Detection and Recognition of Bilingual Urdu and English Text in Natural Scene Images Using a Convolutional Neural Network-Recurrent Neural Network Combination with a Connectionist Temporal Classification Decoder. [PDF]

Sensors (Basel)
Kubra KT, Umair M, Zubair M, Naseem MT, Lee CS.   +4 more
europepmc   +1 more source

Low-resource Lingao dialect speech recognition method based on multi-feature transfer learning

Tongxin xuebao
To address the challenges of data scarcity and high character error rate in low-resource Lingao dialect automatic speech recognition, an end-to-end speech recognition method based on multi-feature transfer learning was proposed.
WANG Zhong, CAO Chunjie, XIE Xia, Muhammad Ahmad Raza, CHEN Yongqing, CHEN Yujue   +5 more
doaj  

Local Self-Attention based Connectionist Temporal Classification for Speech Recognition

Computer Science & Information Technology (CS & IT), 2020
Deng Huizhen, Zhang zhaogong
openaire   +1 more source