Results 71 to 80 of about 548,043 (300)
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
, 2019 Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad +2 more
core +1 more source
During visual word recognition, phonology is accessed within 100 ms and may be mediated by a speech production code: evidence from magnetoencephalography [PDF]
, 2010 Debate surrounds the precise cortical location and timing of access to phonological information during visual word recognition. Therefore, using whole-head magnetoencephalography (MEG), we investigated the spatiotemporal pattern of brain responses ...
Cornelissen, Piers +3 more
core +1 more source
Speech recognition error patterns for steady-state noise and interrupted speech [PDF]
The Journal of the Acoustical Society of America, 2017 Listening in various types of adverse listening conditions may lead to different errors in speech recognition. Young adults repeated sentences degraded by steady-state noise or periodically interrupted by noise preserved at varying proportions. Recognition errors were analyzed according to the noise type and speech proportion.
Kimberly G, Smith, Daniel, Fogerty
openaire +2 more sources
Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley +1 more source
An Evaluate of Pattern Identification Programs and Its Strategies [PDF]
, 2016 At the moment existence, Pattern Recognition has turned into an essential idea from analyst perspective. It is utilized as a part of numerous applications like Speech acknowledgment, facade acknowledgment, Biometrics and numerous other moreover.
Lakshminarasimha, K. (K) +1 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Bloodstream infections due to repeated vascular access (VA) puncture and circuit connections remain major concerns in hemodialysis. Therefore, we examined current practices for glove, disinfectant, and personal protective equipment (PPE) use according to VA type in national university hospitals in Japan.
Aiko Yamada +6 more
wiley +1 more source
Using Voice Technologies to Support Disabled People
Journal of Disability ResearchIn recent years, significant strides have been made in speech and speaker recognition systems, owing to the rapid evolution of data processing capabilities.
H. E. Semary +2 more
doaj +1 more source
Advances in Electrical and Computer Engineering, 2019 A novel binary memristor crossbar architecture based on multilayer neural networks is proposed in the speech recognition application. Here, the memristor crossbar circuit acts as the weights of the neural network combined with the activation function ...
VO, M.-H.
doaj +1 more source
Discrete-level memristive circuits for HTM-based spatiotemporal data classification system
IET Cyber-Physical Systems, 2018 The authors propose a discrete-level memristive memory design for analogue data processing in hardware implementations of hierarchical temporal memory (HTM). In this study, memristors were set to ternary and quaternary states in a sub-cell by application
Aidana Irmanova +2 more
doaj +1 more source
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices [PDF]
, 2016 In recent years, deep neural networks (DNN) have demonstrated significant business impact in large scale analysis and classification tasks such as speech recognition, visual object detection, pattern extraction, etc.
Gokmen, Tayfun, Vlasov, Yurii
core +3 more sources