Results 21 to 30 of about 76,886 (181)
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 EMNLP ...
Libovický, Jindřich, Helcl, Jindřich
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Audio Tagging With Connectionist Temporal Classification Model Using Sequentially Labelled Data
International Conferences on Communications, Signal Processing, and Systems, 2019 Audio tagging aims to predict one or several labels in an audio clip. Many previous works use weakly labelled data (WLD) for audio tagging, where only presence or absence of sound events is known, but the order of sound events is unknown. To use the order information of sound events, we propose sequential labelled data (SLD), where both the presence or
Yuanbo Hou, Qiuqiang Kong, Shengchen Li
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Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach [PDF]
AAAI Conference on Artificial Intelligence, 2023 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
Ziyin Zhang +6 more
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Context Conditioning via Surrounding Predictions for Non-Recurrent CTC Models
IEEE Access, 2023 Connectionist Temporal Classification (CTC) loss has become widely used in sequence modeling tasks such as Automatic Speech Recognition (ASR) and Handwritten Text Recognition (HTR) due to its ease of use.
Burin Naowarat +2 more
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A study of transformer-based end-to-end speech recognition system for Kazakh language
Scientific Reports, 2022 Today, the Transformer model, which allows parallelization and also has its own internal attention, has been widely used in the field of speech recognition.
Mamyrbayev Orken +4 more
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Modeling Intra-label Dynamics and Analyzing the Role of Blank in Connectionist Temporal Classification [PDF]
Computer and Knowledge Engineering, 2018 The goal of many tasks in the realm of sequence processing is to map a sequence of input data to a sequence of output labels. Long short-term memory (LSTM), a type of recurrent neural network (RNN), equipped with connectionist temporal classification ...
Ashkan Sadeghi Lotfabadi +2 more
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Fast offline transformer-based end-to-end automatic speech recognition for real-world applications
ETRI Journal, 2022 With the recent advances in technology, automatic speech recognition (ASR) has been widely used in real-world applications. The efficiency of converting large amounts of speech into text accurately with limited resources has become more vital than ever ...
Yoo Rhee Oh, Kiyoung Park, Kiyoung Park
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Sensors, 2020 Advanced automatic pronunciation error detection (APED) algorithms are usually based on state-of-the-art automatic speech recognition (ASR) techniques. With the development of deep learning technology, end-to-end ASR technology has gradually matured and ...
Long Zhang +7 more
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IEEE Access, 2021 Offline handwritten Chinese text recognition is one of the most challenging tasks in that it involves various writing styles, complex character-touching, and large number of character categories.
Yintong Wang +3 more
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