Results 81 to 90 of about 938 (162)

An Input-synchronous Blockwise Decoding Algorithm for CTC-AED Speech Recognition

Информатика и автоматизация
Automatic 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
doaj   +1 more source

Segmentation-free Connectionist Temporal Classification loss based OCR Model for Text Captcha Classification

CoRR
17 pages, 5 ...
Vaibhav Khatavkar, Makarand Velankar, Sneha Petkar   +2 more
openaire   +2 more sources

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

Deep learning based 3D residual convolutional and Multi-Head Attention (3D-RMA) for lip-reading

Results in Control and Optimization
Lip 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, Masuk Abdullah, Vivek Deshpande, Tushar Zanke, Samrudhi Wath, Snehashish Mulgir, Stuti Jagtap   +6 more
doaj   +1 more source

Terminal strip detection and recognition based on improved YOLOv7-tiny and MAH-CRNN+CTC models

Frontiers in Energy Research
For 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, Luo Weiming, Chen Qiujie, Zou Hongbo   +3 more
doaj   +1 more source

Pengenalan Karakter Optikal Aksara Jawa Menggunakan Connectionist Temporal Classification

INTEK : Jurnal Informatika dan Teknologi Informasi
Aksara 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, Wahju Tjahjo Saputro, Dewi Chirzah   +2 more
openaire   +1 more source

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

HCVEA: Personalized Residential Layout Generation via an Improved Conditional Variational Autoencoder with Reinforcement Learning

Designs
With the growing demand for personalized design, residential layout generation has become a key research area in architecture and artificial intelligence.
Hongting He, Zunyue Liu, Fei Xiao
doaj   +1 more source

ResNet18-BLSTM-CTC-Based OCR Model for Extracting Technical Parameter Data from Digital Television Analyzer Screenshots

Teknika
Monitoring digital television broadcasting stations requires accurate extraction of technical measurement parameters from screenshot images generated by television analyzer devices.
Henrian Robby Fakhriannur, Alva Hendi Muhammad   +1 more
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