Results 111 to 120 of about 1,501,555 (284)
Episodic memory rehabilitation for HIV‐associated neurocognitive disorders: A scoping review
Journal of Neuropsychology, EarlyView.Abstract Despite extensive research on HIV‐associated neurocognitive disorders (HAND), interest in cognitive rehabilitation has emerged only within the past 15 years. HAND are characterised by mild‐to‐moderate impairments in multiple cognitive domains: attention, episodic memory and executive functions.
Signe Andersen, Sylvane Faure
wiley +1 more source
Individual differences in set‐shifting and levodopa responsiveness in Parkinson's disease
Journal of Neuropsychology, EarlyView.Abstract Perseveration (PE) and learned irrelevance (LI) are two distinct processes that shape attentional set‐shifting in Parkinson's disease (PD). Whether LI and PE are dopamine‐dependent remains unclear. We investigated whether PE and LI may be dissociated in early PD and whether these switch conditions are associated with an individual motor ...
Aleksandra Fijałkiewicz +5 more
wiley +1 more source
The phoneme set influence for lithuanian speech commands recognition accuracy
, 2017 The phoneme set influence for Lithuanian speech commands recognition accuracy is investigated. Four phoneme sets are discussed. LIEPA speech corpus for training of Acoustic Model is used.
Telksnys, Laimutis +5 more
core +1 more source
Journal of Neuropsychology, EarlyView.Abstract Network psychometrics has emerged as a promising framework for modelling the structure of neuropsychological data, offering a complementary perspective to traditional latent variable approaches or single test approaches. In neuropsychology, test performance is rarely interpreted in isolation, but rather as reflecting interacting cognitive ...
Giorgia Tosi, Daniele Romano
wiley +1 more source
Phoneme-Based Persian Speech Recognition
CoRR, 2019 Undoubtedly, one of the most important issues in computer science is intelligent speech recognition. In these systems, computers try to detect and respond to the speeches they are listening to, like humans. In this research, presenting of a suitable method for the diagnosis of Persian phonemes by AI using the signal processing and classification ...
openaire +3 more sources
Feature Extracting in the Presence of Environmental Noise, using Subband Adaptive Filtering [PDF]
, 2009 In this work, a new feature extracting method in noisy environments is proposed. The approach is based on subband decomposition of speech signals followed by adaptive filtering in the noisiest subbbands of speech.
Samad, Salina Abdul
core
The Sounds of Trust: The Bouba–Kiki Effect in Political Leaders' Names
Kyklos, EarlyView.ABSTRACT Prior research has found evidence for the bouba–kiki effect according to which individuals associate sounds related to “bouba” and “kiki” with shapes and feelings. Using individual data from the World Values Survey, we investigate whether political leaders with names that sound “bouba” or “kiki” are associated with higher or lower trust.
Caroline Perrin, Laurent Weill
wiley +1 more source
Seeing the Speaker's Face Enhances Second Language Shadowing: Neural and Behavioral Evidence
Language Learning, EarlyView.Abstract This functional magnetic resonance imaging (fMRI) study investigated how facial cues influence second language (L2) shadowing among 42 Japanese learners of English. Participants completed four conditions that varied by task type (listening vs. shadowing) and visual input (face vs. mosaic).
Hyeonjeong Jeong +7 more
wiley +1 more source
Automated phoneme mapping for cross-language speech recognition [PDF]
, 2005 Dissertation (MEng (Computer Engineering))--University of Pretoria, 2006.This dissertation explores a unique automated approach to map one phoneme set to another, based on the acoustic distances between the individual phonemes. Although the focus of this
core +1 more source
Echo State Networks for Arabic Phoneme Recognition
, 2013 This paper presents an ESN-based Arabic phoneme recognition system trained with supervised, forced and combined supervised/forced supervised learning algorithms.
Nadia Hmad, Tony Allen
core +1 more source