Results 11 to 20 of about 19,125,289 (344)

SCINOBO: a novel system classifying scholarly communication in a dynamically constructed hierarchical Field-of-Science taxonomy

open access: yesFrontiers in Research Metrics and Analytics, 2023
Classifying scientific publications according to Field-of-Science taxonomies is of crucial importance, powering a wealth of relevant applications including Search Engines, Tools for Scientific Literature, Recommendation Systems, and Science Monitoring ...
Sotiris Kotitsas   +4 more
doaj   +1 more source

Blockchain Applications in Agriculture: A Scoping Review

open access: yesApplied Sciences, 2022
Blockchain is a distributed, immutable ledger technology initially developed to secure cryptocurrency transactions. Following its revolutionary use in cryptocurrencies, blockchain solutions are now being proposed to address various problems in different ...
Andreas Sendros   +3 more
doaj   +1 more source

The semantic and syntactic ingredients of Greek dish names: Are compounds a main choice?

open access: yesOpen Linguistics, 2021
The syntactic and semantic analyses of 2,500 dish names retrieved from 112 restaurant, tavern, and patisserie menus in Eastern Macedonia and in Thrace in Northern Greece show that only a small number of concepts are denoted by the heads of these noun ...
Markantonatou Stella   +3 more
doaj   +1 more source

ESPnet: End-to-End Speech Processing Toolkit [PDF]

open access: yesInterspeech, 2018
This paper introduces a new open source platform for end-to-end speech processing named ESPnet. ESPnet mainly focuses on end-to-end automatic speech recognition (ASR), and adopts widely-used dynamic neural network toolkits, Chainer and PyTorch, as a main
Shinji Watanabe   +11 more
semanticscholar   +1 more source

A web-based application for eliciting narrative discourse from Greek-speaking people with and without language impairments

open access: yesFrontiers in Communication, 2023
In this paper we present a web-based data collection method designed to elicit narrative discourse from adults with and without language impairments, both in an in-person set up and remotely.
Spyridoula Stamouli   +11 more
doaj   +1 more source

A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers

open access: yesAerospace, 2023
In this paper we propose a novel virtual simulation-pilot engine for speeding up air traffic controller (ATCo) training by integrating different state-of-the-art artificial intelligence (AI)-based tools.
Juan Zuluaga-Gomez   +4 more
doaj   +1 more source

The First Multimodal Information Based Speech Processing (Misp) Challenge: Data, Tasks, Baselines And Results

open access: yesIEEE International Conference on Acoustics, Speech, and Signal Processing, 2022
In this paper we discuss the rational of the Multi-model Information based Speech Processing (MISP) Challenge, and provide a detailed description of the data recorded, the two evaluation tasks and the corresponding baselines, followed by a summary of ...
Hang Chen   +12 more
semanticscholar   +1 more source

Dyspnea Severity Assessment Based on Vocalization Behavior with Deep Learning on the Telephone

open access: yesSensors, 2023
In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep learning, is proposed. The method is based on modeling the spontaneous behavior of subjects while pronouncing controlled phonetization.
Eduardo Alvarado   +6 more
doaj   +1 more source

Multimodal Classification of Safety-Report Observations

open access: yesApplied Sciences, 2022
Modern businesses are obligated to conform to regulations to prevent physical injuries and ill health for anyone present on a site under their responsibility, such as customers, employees and visitors.
Georgios Paraskevopoulos   +4 more
doaj   +1 more source

Deep neural networks for automatic speech processing: a survey from large corpora to limited data [PDF]

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2020
Most state-of-the-art speech systems use deep neural networks (DNNs). These systems require a large amount of data to be learned. Hence, training state-of-the-art frameworks on under-resourced speech challenges are difficult tasks.
Vincent Roger   +2 more
semanticscholar   +1 more source

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