Results 91 to 100 of about 14,332 (195)
An Attention-Based Convolutional Recurrent Neural Networks for Scene Text Recognition
IEEE AccessText recognition is critical in various domains, including driving assistance, handwriting recognition, and aiding the visually impaired. In recent years, deep learning-based methods have demonstrated outstanding performance in Scene Text Recognition ...
Adil Abdullah Abdulhussein Alshawi +2 more
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Pengenalan Karakter Optikal Aksara Jawa Menggunakan Connectionist Temporal Classification
INTEK : Jurnal Informatika dan Teknologi InformasiAksara Jawa memiliki sejarah panjang dan penting di Pulau Jawa. Sampai saat ini aksara Jawa banyak digunakan untuk obyek penelitian. Salah satunya menggunakan aplikasi OCR. Penelitian ini bertujuan mengembangkan model OCR untuk aksara Jawa menggunakan Metode CTC (Connectionist Temporal Classification.
Ridwan Hidayatullah +2 more
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Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification
, 2015 Final version: Kyuyeon Hwang and Wonyong Sung, "Sequence to Sequence Training of CTC-RNNs with Partial Windowing," Proceedings of The 33rd International Conference on Machine Learning, pp. 2178-2187, 2016.
Hwang, Kyuyeon, Sung, Wonyong
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Deep Learning: Our Miraculous Year 1990-1991
, 2020 In 2020, we will celebrate that many of the basic ideas behind the deep learning revolution were published three decades ago within fewer than 12 months in our "Annus Mirabilis" or "Miraculous Year" 1990-1991 at TU Munich.
Schmidhuber, Juergen
core
International Journal of Engineering & Technology, 2018 Recognition of human handwriting which offers the new way to improve the computer interface with the human and this process is very much useful for documents.Keyword spotting refers the spontaneous recognition of handwritten text, letter, and scripts from historical hand written books and the procedure of recovering all instance of a known keyword from
Pinagadi Venkateswararao, S Murugavalli
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An Input-synchronous Blockwise Decoding Algorithm for CTC-AED Speech Recognition
Информатика и автоматизацияAutomatic speech recognition (ASR) systems for real-life scenarios are required to process audio streams of arbitrary length with stable accuracy under limited computational resources.
Iurii Lezhenin, Natalia Bogach
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Deep learning based 3D residual convolutional and Multi-Head Attention (3D-RMA) for lip-reading
Results in Control and OptimizationLip reading, an essential yet intricate facet of communication, has seen notable progress through the application of advanced deep learning techniques. This research introduces a deep learning-based lip-reading model that integrates Conv3D layers, Multi ...
Archana Chaudhari +6 more
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Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition [PDF]
Interspeech 2019, 2019 Zhao, Ziping +5 more
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Terminal strip detection and recognition based on improved YOLOv7-tiny and MAH-CRNN+CTC models
Frontiers in Energy ResearchFor substation secondary circuit terminal strip wiring, low efficiency, less easy fault detection and inspection, and a variety of other issues, this study proposes a text detection and identification model based on improved YOLOv7-tiny and MAH-CRNN+CTC ...
Guo Zhijun +3 more
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IET Computer Vision, 2018 This study presents a novel approach for Arabic video text recognition based on recurrent neural networks. In fact, embedded texts in videos represent a rich source of information for indexing and automatically annotating multimedia documents.
Oussama Zayene +4 more
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