Explainable Connectionist-Temporal-Classification-Based Scene Text Recognition [PDF]
Journal of Imaging, 2023 Connectionist temporal classification (CTC) is a favored decoder in scene text recognition (STR) for its simplicity and efficiency. However, most CTC-based methods utilize one-dimensional (1D) vector sequences, usually derived from a recurrent neural ...
Rina Buoy +3 more
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CTCModel: a Keras Model for Connectionist Temporal Classification [PDF]
CoRR, 2019 We report an extension of a Keras Model, called CTCModel, to perform the Connectionist Temporal Classification (CTC) in a transparent way. Combined with Recurrent Neural Networks, the Connectionist Temporal Classification is the reference method for dealing with unsegmented input sequences, i.e.
Yann Soullard +2 more
core +7 more sources
Information, 2021 Out-of-vocabulary (OOV) words are the most challenging problem in automatic speech recognition (ASR), especially for morphologically rich languages.
Eshete Derb Emiru +4 more
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Integrating international Chinese visualization teaching and vocational skills training: leveraging attention-connectionist temporal classification models [PDF]
PeerJ Computer ScienceThe teaching of Chinese as a second language has become increasingly crucial for promoting cross-cultural exchange and mutual learning worldwide. However, traditional approaches to international Chinese language teaching have limitations that hinder ...
Yuan Yao, Zhujun Dai, Muhammad Shahbaz
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Advancing Connectionist Temporal Classification with Attention Modeling [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 Accepted at ICASSP ...
Amit Das, Jinyu Li
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A CTC-Based Speech Recognition Network Fusing Local Convolution and Global Attention [PDF]
SensorsIntegrating wav2vec 2.0 with Connectionist Temporal Classification (CTC) for automatic speech recognition (ASR) often involves a trade-off between capturing global semantic consistency and maintaining local feature discriminability.
Huijuan Hu +3 more
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IET Image ProcessingLicense plate recognition is crucial in Intelligent Transportation Systems (ITS) for vehicle management, traffic monitoring, and security inspection.
Liru Hua +5 more
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A Study of All-Convolutional Encoders for Connectionist Temporal Classification [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 Accepted to ICASSP ...
Liang Lu, Kevin Gimpel, Karen Livescu
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Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition [PDF]
Interspeech 2019, 2019 Discrete speech emotion recognition (SER), the assignment of a single emotion label to an entire speech utterance, is typically performed as a sequence-to-label task. This approach, however, is limited, in that it can result in models that do not capture temporal changes in the speech signal, including those indicative of a particular emotion.
Ziping Zhao 0001 +5 more
openaire +5 more sources
Training LDCRF model on unsegmented sequences using connectionist temporal classification [PDF]
2016 6th International Conference on Computer and Knowledge Engineering (ICCKE), 2016 Many machine learning problems such as speech recognition, gesture recognition, and handwriting recognition are concerned with simultaneous segmentation and labeling of sequence data. Latent-dynamic conditional random field (LDCRF) is a well-known discriminative method that has been successfully used for this task.
Ahad Harati, Amir Atashin
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