Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models
Advanced Intelligent Systems, EarlyView.Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses +3 more
wiley +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
LanguagesThe relative weighting of f0 and vowel reduction in English spoken word recognition at the sentence level were investigated in one two-alternative forced-choice word identification experiment.
Fenqi Wang +3 more
doaj +1 more source
Free Allophonic Variation in Native and Second Language Spoken Word Recognition: The Case of the German Rhotic. [PDF]
Front Psychol, 2021 Llompart M, Eger NA, Reinisch E.
europepmc +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
Advanced Intelligent Systems, EarlyView.This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
Delayed Lexical Access and Cascading Effects on Spreading Semantic Activation During Spoken Word Recognition in Children With Hearing Aids and Cochlear Implants: Evidence From Eye-Tracking. [PDF]
Ear Hear, 2023 Klein KE, Walker EA, McMurray B.
europepmc +1 more source
The Presence of Background Noise Extends the Competitor Space in Native and Non-Native Spoken-Word Recognition: Insights from Computational Modeling. [PDF]
Cogn Sci, 2022 Karaminis T, Hintz F, Scharenborg O.
europepmc +1 more source
Concurrent collaborative captioning
, 2013 Captioned text transcriptions of the spoken word can benefit hearing impaired people, non native speakers, anyone if no audio is available (e.g. watching TV at an airport) and also anyone who needs to review recordings of what has been said (e.g.
Wald, Mike
core
Structural problems without structural solutions? Youth leaders' perceptions of their community
American Journal of Community Psychology, EarlyView.Abstract As young people explore and reflect on the conditions of their neighborhoods and communities, they can forge a critical consciousness—merging their perspectives and analysis to direct both individual and collective actions. Photovoice is a methodological tool that allows participants to document their perspectives and analysis and discuss with
Linnea L. Hjelm +4 more
wiley +1 more source
SAGE OpenThis study explores the relationship between the Hanzi recognition performance and the home literacy environments of 351 children aged 3 to 6 based on Montessori’s philosophy of education.
Mei-Ling Wang +2 more
doaj +1 more source