AIMC Topic: Speech

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Two Distinct Neural Timescales for Predictive Speech Processing.

Neuron Dec 2, 2019
During speech listening, the brain could use contextual predictions to optimize sensory sampling and processing. We asked if such predictive processing is organized dynamically into separate oscillatory timescales. We trained a neural network that us...
Humans Neural Networks, Computer Brain Time Factors Brain Waves Uncertainty Magnetoencephalography Female Male Speech
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Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing.

Advanced materials (Deerfield Beach, Fla.) Oct 16, 2019
Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice technologies. Speech recognition based on advanced acoustic sensors and optimized machine lear...
Acoustics Mechanical Phenomena Electricity Humans Machine Learning Speech Signal Processing, Computer-Assisted
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Companion robots for older people: importance of user-centred design demonstrated through observations and focus groups comparing preferences of older people and roboticists in South West England.

BMJ open Sep 26, 2019
OBJECTIVE: Companion robots, such as Paro, may reduce agitation and depression for older people with dementia. However, contradictory research outcomes suggest robot design is not always optimal. While many researchers suggest user-centred design is ...
Male Middle Aged Speech Female Aged Aged, 80 and over Attitude Focus Groups Patient Preference Friends Qualitative Research Dementia Robotics Humans Engineering
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Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex.

PLoS computational biology Sep 16, 2019
A fundamental challenge in neuroscience is to understand what structure in the world is represented in spatially distributed patterns of neural activity from multiple single-trial measurements. This is often accomplished by learning a simple, linear ...
Electrocorticography Sensorimotor Cortex Speech Humans Deep Learning Computational Biology Signal Processing, Computer-Assisted
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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...
Multilingualism Speech Emotions Speech Perception Humans Neural Networks, Computer Machine Learning
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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...
Speech Electroencephalography Biometric Identification Speech Perception Auditory Perception Female Adult Male Humans Machine Learning Language
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HypernasalityNet: Deep recurrent neural network for automatic hypernasality detection.

International journal of medical informatics May 23, 2019
BACKGROUND: Cleft palate patients have inability to produce adequate velopharyngeal closure, which results in hypernasal speech. In clinic, hypernasal speech is assessed through subject assessment by speech language pathologists. Automatic hypernasal...
Neural Networks, Computer Female Male Speech Adolescent Child, Preschool Humans Child Cleft Palate Nose Diseases
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Machine learning in the clinical and language characterisation of primary progressive aphasia variants.

Cortex; a journal devoted to the study of the nervous system and behavior May 18, 2019
INTRODUCTION: Primary progressive aphasia (PPA) is a clinical syndrome of neurodegenerative origin with 3 main variants: non-fluent, semantic, and logopenic. However, there is some controversy about the existence of additional subtypes. Our aim was t...
Female Aged Male Language Tests Aphasia, Primary Progressive Middle Aged Speech Humans Machine Learning Brain
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Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood.

IEEE journal of biomedical and health informatics Apr 26, 2019
Childhood anxiety and depression often go undiagnosed. If left untreated these conditions, collectively known as internalizing disorders, are associated with long-term negative outcomes including substance abuse and increased risk for suicide. This p...
Child Signal Processing, Computer-Assisted Psychopathology Humans Speech Female Machine Learning Depression Male Child, Preschool Anxiety
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Speech synthesis from neural decoding of spoken sentences.

Nature Apr 24, 2019
Technology that translates neural activity into speech would be transformative for people who are unable to communicate as a result of neurological impairments. Decoding speech from neural activity is challenging because speaking requires very precis...
Speech Acoustics Speech Articulation Tests Cerebral Cortex Movement Speech Intelligibility Adult Humans Biomechanical Phenomena Male Neural Networks, Computer Female Speech
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