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
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 ...
Ting Dang, Vidhyasaharan Sethu
exaly +3 more sources
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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Multilingual end-to-end ASR for low-resource Turkic languages with common alphabets [PDF]
Scientific ReportsTo obtain a reliable and accurate automatic speech recognition (ASR) machine learning model, it is necessary to have sufficient audio data transcribed, for training. Many languages in the world, especially the agglutinative languages of the Turkic family,
Akbayan Bekarystankyzy +4 more
doaj +2 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
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On the Proper Treatment of Dynamics in Cognitive Science
Topics in Cognitive Science, EarlyView., 2023 Abstract This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first ...
Randall D. Beer
wiley +1 more source
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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A study on constraining Connectionist Temporal Classification for temporal audio alignment
Interspeech 2022, 2022 Connectionist Temporal Classification (CTC) has become a standard for deep learning-based temporal alignment allowing relevant probabilistic distributions to be learned. However, by nature, CTC is a transcription objective that can be minimized without guaranteeing any alignment properties.
Teytaut, Yann +2 more
openaire +2 more sources
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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