AIMC Topic: Speech Perception
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Machine translation of cortical activity to text with an encoder-decoder framework.
Nature neuroscience
Mar 30, 2020
A decade after speech was first decoded from human brain signals, accuracy and speed remain far below that of natural speech. Here we show how to decode the electrocorticogram with high accuracy and at natural-speech rates. Taking a cue from recent a...
Distinct Mechanisms of Imagery Differentially Influence Speech Perception.
eNeuro
Sep 19, 2019
Neural representation can be induced without external stimulation, such as in mental imagery. Our previous study found that imagined speaking and imagined hearing modulated perceptual neural responses in opposite directions, suggesting motor-to-senso...
From manual to artificial intelligence fitting: Two cochlear implant case studies.
Cochlear implants international
Sep 17, 2019
To assess whether CI programming by means of a software application using artificial intelligence (AI), FOX®, may improve cochlear implant (CI) performance. Two adult CI recipients who had mixed auditory results with their manual fitting were selec...
Cortical Tracking of Surprisal during Continuous Speech Comprehension.
Journal of cognitive neuroscience
Sep 3, 2019
Speech comprehension requires rapid online processing of a continuous acoustic signal to extract structure and meaning. Previous studies on sentence comprehension have found neural correlates of the predictability of a word given its context, as well...
A comprehensive study on bilingual and multilingual speech emotion recognition using a two-pass classification scheme.
PloS one
Aug 15, 2019
Emotion recognition plays an important role in human-computer interaction. Previously and currently, many studies focused on speech emotion recognition using several classifiers and feature extraction methods. The majority of such studies, however, a...
Biometric identification of listener identity from frequency following responses to speech.
Journal of neural engineering
Jul 23, 2019
OBJECTIVE: We investigate the biometric specificity of the frequency following response (FFR), an EEG marker of early auditory processing that reflects phase-locked activity from neural ensembles in the auditory cortex and subcortex (Chandrasekaran a...
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...
Simulating speech processing with cochlear implants: How does channel interaction affect learning in neural networks?
PloS one
Feb 27, 2019
We introduce a novel machine learning approach for investigating speech processing with cochlear implants (CIs)-prostheses used to replace a damaged inner ear. Concretely, we use a simple perceptron and a deep convolutional network to classify speech...
Using artificial intelligence to assess clinicians' communication skills.
BMJ (Clinical research ed.)
Jan 18, 2019
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization.
IEEE transactions on neural networks and learning systems
Jun 4, 2018
Inspired by the behavior of humans talking in noisy environments, we propose an embodied embedded cognition approach to improve automatic speech recognition (ASR) systems for robots in challenging environments, such as with ego noise, using binaural ...
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