AIMC Topic: Phonetics
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Decoding Single and Paired Phonemes Using 7T Functional MRI.
Brain topography
Jan 23, 2024
Several studies have shown that mouth movements related to the pronunciation of individual phonemes are represented in the sensorimotor cortex. This would theoretically allow for brain computer interfaces that are capable of decoding continuous speec...
What Can Network Science Tell Us About Phonology and Language Processing?
Topics in cognitive science
Apr 9, 2021
Contemporary psycholinguistic models place significant emphasis on the cognitive processes involved in the acquisition, recognition, and production of language but neglect many issues related to the representation of language-related information in t...
Predicting risk of dyslexia with an online gamified test.
PloS one
Dec 2, 2020
Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online gamified ...
A deep learning model for detecting mental illness from user content on social media.
Scientific reports
Jul 16, 2020
Users of social media often share their feelings or emotional states through their posts. In this study, we developed a deep learning model to identify a user's mental state based on his/her posting information. To this end, we collected posts from m...
Brain-optimized extraction of complex sound features that drive continuous auditory perception.
PLoS computational biology
Jul 2, 2020
Understanding how the human brain processes auditory input remains a challenge. Traditionally, a distinction between lower- and higher-level sound features is made, but their definition depends on a specific theoretical framework and might not match ...
Improving clinical named entity recognition in Chinese using the graphical and phonetic feature.
BMC medical informatics and decision making
Dec 23, 2019
BACKGROUND: Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese language is quite different with English language, the machine cannot simply get the graphical and ...
Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson's Disease.
Biosensors
Dec 20, 2019
In this paper, we have investigated the differences in the voices of Parkinson's disease (PD) and age-matched control (CO) subjects when uttering three phonemes using two complexity measures: fractal dimension (FD) and normalised mutual information (...
Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese.
Journal of biomedical semantics
Nov 12, 2019
BACKGROUND: There is an increasing amount of unstructured medical data that can be analysed for different purposes. However, information extraction from free text data may be particularly inefficient in the presence of spelling errors. Existing appro...
Cimind: A phonetic-based tool for multilingual named entity recognition in biomedical texts.
Journal of biomedical informatics
Apr 11, 2019
BACKGROUND: Extracting concepts from biomedical texts is a key to support many advanced applications such as biomedical information retrieval. However, in clinical notes Named Entity Recognition (NER) has to deal with various types of errors such as ...
Learning mechanisms in cue reweighting.
Cognition
Mar 28, 2019
Feedback has been shown to be effective in shifting attention across perceptual cues to a phonological contrast in speech perception (Francis, Baldwin & Nusbaum, 2000). However, the learning mechanisms behind this process remain obscure. We compare t...
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