Results 51 to 60 of about 14,332 (195)
IET Image ProcessingLicense plate recognition is crucial in Intelligent Transportation Systems (ITS) for vehicle management, traffic monitoring, and security inspection.
Liru Hua +5 more
doaj +1 more source
A Linear Memory CTC-Based Algorithm for Text-to-Voice Alignment of Very Long Audio Recordings
Applied Sciences, 2023 Synchronisation of a voice recording with the corresponding text is a common task in speech and music processing, and is used in many practical applications (automatic subtitling, audio indexing, etc.).
Guillaume Doras +2 more
doaj +1 more source
Neurons and symbols: a manifesto [PDF]
, 2010 We discuss the purpose of neural-symbolic integration including its principles, mechanisms and applications. We outline a cognitive computational model for neural-symbolic integration, position the model in the broader context of multi-agent systems ...
Garcez, A.
core
CTCModel: a Keras Model for Connectionist Temporal Classification
, 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.
Soullard, Yann +2 more
openaire +2 more sources
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
Applied AI Letters, Volume 7, Issue 2, June 2026.This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Accented Speech Recognition Based on End-to-End Domain Adversarial Training of Neural Networks
Applied Sciences, 2021 The performance of automatic speech recognition (ASR) may be degraded when accented speech is recognized because the speech has some linguistic differences from standard speech.
Hyeong-Ju Na, Jeong-Sik Park
doaj +1 more source
Character-Level Incremental Speech Recognition with Recurrent Neural Networks
, 2016 In real-time speech recognition applications, the latency is an important issue. We have developed a character-level incremental speech recognition (ISR) system that responds quickly even during the speech, where the hypotheses are gradually improved ...
Hwang, Kyuyeon, Sung, Wonyong
core +1 more source
Language machines: Toward a linguistic anthropology of large language models
Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux +2 more
wiley +1 more source
A deep neural network-based automatic mispronunciation detection in Bengali accented English speech
Discover ComputingLearning a second language, especially English, became necessary as globalisation started. One crucial component of language learning resources is computer-assisted pronunciation training, or CAPT.
Puja Bharati +5 more
doaj +1 more source
Improving End-to-End Speech Recognition with Policy Learning
, 2017 Connectionist temporal classification (CTC) is widely used for maximum likelihood learning in end-to-end speech recognition models. However, there is usually a disparity between the negative maximum likelihood and the performance metric used in speech ...
Socher, Richard +2 more
core +1 more source