Word Beam Search: A Connectionist Temporal Classification Decoding Algorithm [PDF]
2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2018 Recurrent Neural Networks (RNNs) are used for sequence recognition tasks such as Handwritten Text Recognition (HTR) or speech recognition. If trained with the Connectionist Temporal Classification (CTC) loss function, the output of such a RNN is a matrix containing character probabilities for each time-step.
Harald Scheidl +2 more
openaire +4 more sources
MPSA-Conformer-CTC/Attention: A High-Accuracy, Low-Complexity End-to-End Approach for Tibetan Speech Recognition [PDF]
SensorsThis study addresses the challenges of low accuracy and high computational demands in Tibetan speech recognition by investigating the application of end-to-end networks. We propose a decoding strategy that integrates Connectionist Temporal Classification
Changlin Wu +3 more
doaj +2 more sources
SqueezeCall: nanopore basecalling using a Squeezeformer network [PDF]
GigaByteNanopore sequencing, a third-generation sequencing technique, enables direct RNA sequencing, real-time analysis, and long-read length. Nanopore sequencers measure electrical current changes as nucleotides pass through nanopores; a basecaller identifies ...
Zhongxu Zhu
doaj +2 more sources
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
openaire +5 more sources
Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)5 pages, 3 figures ...
Vidhyasaharan Sethu, Ting Dang
exaly +4 more sources
Pengenalan Karakter Optikal Aksara Jawa Menggunakan Connectionist Temporal Classification [PDF]
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
openaire +2 more sources
Breaking the 'Glass Ceiling' of Risk Prediction in Recidivism: An Application of Connectionist Modelling to Offender Data [PDF]
, 2011 The present thesis explored the capability of connectionist models to break through the ‘glass ceiling’ of accuracy currently in operation in recidivism prediction (e.g., Yang, Wong, & Coid, 2010).
Pearson, Dominic
core +6 more sources
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 +5 more
europepmc +2 more sources
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
doaj +1 more source