Listeners normalize speech for contextual speech rate even without an explicit recognition task
, 2019 Speech can be produced at different rates. Listeners take this rate variation into account by normalizing vowel duration for contextual speech rate: An ambiguous Dutch word /m?t/ is perceived as short /mAt/ when embedded in a slow context, but long /ma:t/
Bosker, H., Maslowski, M., Meyer, A.
core +1 more source
Recognizing Multi-talker Speech with Permutation Invariant Training
, 2017 In this paper, we propose a novel technique for direct recognition of multiple speech streams given the single channel of mixed speech, without first separating them.
Chang, Xuankai, Qian, Yanmin, Yu, Dong
core +1 more source
Hyperspectral imaging applied to end-of-life (EOL) concrete recycling [PDF]
, 2015 The recovery of materials from DW is an important target of the recycling industry and it is important to know which materials are presents in order to set up efficient sorting and/or quality control actions.
Bonifazi, Giuseppe +2 more
core +1 more source
Novel Category Discovery Without Forgetting for Automatic Target Recognition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn this article, we explore a cutting-edge concept known as class incremental learning (CIL) in novel category discovery for synthetic aperture radar (SAR) targets (CNTs).
Heqing Huang +5 more
semanticscholar +1 more source
Review of Automatic Target Recognition Evaluation Method Development
Leida xuebao, 2023 Automatic Target Recognition (ATR) is an interdisciplinary technological field related to pattern recognition, artificial intelligence, and information processing. ATR evaluation focuses on accessing ATR algorithms and systems.
Jun HE, Ruigang FU, Qiang FU
doaj +1 more source
Unintentional and intentional recognition rely on dissociable neurocognitive mechanisms [PDF]
, 2016 Distractibility can lead to accidents and academic failures, as well as memory problems. Recent evidence suggests that intentional recognition memory can be biased by unintentional recognition of distracting stimuli in the same environment. It is unknown
Bergström, Zara M +3 more
core +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Leida xuebao, 2016 Nowadays, high-speed sampling and transmission is a foremost challenge of radar system. In order to solve this problem, a compressive sensing approach is proposed for radar target signals in this study.
Zhong Jinrong, Wen Gongjian
doaj +1 more source
Learning Slimming SAR Ship Object Detector Through Network Pruning and Knowledge Distillation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The deployment of deep convolutional neural networks (CNNs) in synthetic aperture radar (SAR) ship real-time detection is largely hindered by huge computational cost.
Shiqi Chen +3 more
doaj +1 more source
Local feature based automatic target recognition for future 3D active homing seeker missiles [PDF]
, 2017 We propose an architecture appropriate for future Light Detection and Ranging (LIDAR) active homing seeker missiles with Automatic Target Recognition (ATR) capabilities.
Aouf, N. +5 more
core +3 more sources