AIMC Topic: Speech Perception

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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...
Humans Neural Networks, Computer Language Adult Speech Perception Phonetics Recognition, Psychology Psycholinguistics Speech Cognition Models, Psychological
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Human cortical encoding of pitch in tonal and non-tonal languages.

Nature communications Feb 19, 2021
Languages can use a common repertoire of vocal sounds to signify distinct meanings. In tonal languages, such as Mandarin Chinese, pitch contours of syllables distinguish one word from another, whereas in non-tonal languages, such as English, pitch is...
Speech Perception Linguistics Neural Networks, Computer Pitch Perception Language Female Brain Mapping Electrodes Male Speech Humans
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Biosignal Sensors and Deep Learning-Based Speech Recognition: A Review.

Sensors (Basel, Switzerland) Feb 17, 2021
Voice is one of the essential mechanisms for communicating and expressing one's intentions as a human being. There are several causes of voice inability, including disease, accident, vocal abuse, medical surgery, ageing, and environmental pollution, ...
Speech Perception Humans Voice Deep Learning Speech
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μ-law SGAN for generating spectra with more details in speech enhancement.

Neural networks : the official journal of the International Neural Network Society Dec 25, 2020
The goal of monaural speech enhancement is to separate clean speech from noisy speech. Recently, many studies have employed generative adversarial networks (GAN) to deal with monaural speech enhancement tasks. When using generative adversarial networ...
Speech Speech Recognition Software Data Compression Speech Perception Humans Neural Networks, Computer Deep Learning
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Deep Learning for Voice Gender Identification: Proof-of-concept for Gender-Affirming Voice Care.

The Laryngoscope Nov 21, 2020
OBJECTIVES/HYPOTHESIS: The need for gender-affirming voice care has been increasing in the transgender population in the last decade. Currently, objective treatment outcome measurements are lacking to assess the success of these interventions. This s...
Audiometry Voice Quality Gender-Affirming Procedures Transgender Persons Proof of Concept Study Speech Perception Female Adult Male Sex Factors Datasets as Topic Deep Learning Treatment Outcome Humans Retrospective Studies
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Modelling the effects of transcranial alternating current stimulation on the neural encoding of speech in noise.

NeuroImage Oct 7, 2020
Transcranial alternating current stimulation (tACS) can non-invasively modulate neuronal activity in the cerebral cortex, in particular at the frequency of the applied stimulation. Such modulation can matter for speech processing, since the latter in...
Delta Rhythm Speech Perception Transcranial Direct Current Stimulation Theta Rhythm Humans Signal-To-Noise Ratio Neural Networks, Computer Auditory Cortex Noise
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Linear versus deep learning methods for noisy speech separation for EEG-informed attention decoding.

Journal of neural engineering Aug 19, 2020
OBJECTIVE: A hearing aid's noise reduction algorithm cannot infer to which speaker the user intends to listen to. Auditory attention decoding (AAD) algorithms allow to infer this information from neural signals, which leads to the concept of neuro-st...
Acoustic Stimulation Speech Perception Deep Learning Speech Electroencephalography Attention
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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 ...
Models, Neurological Brain Mapping Signal Processing, Computer-Assisted Speech Perception Phonetics Humans Speech Sound Electrocorticography Neural Networks, Computer Adolescent Auditory Perception Auditory Cortex Female Time Factors Motion Pictures Young Adult Adult Male
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EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.

International journal of neural systems May 28, 2020
The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more temporal rates. The LEEDUCA study conducted a series of Electroencephalography...
Unsupervised Machine Learning Humans Connectome Dyslexia Neural Networks, Computer Speech Perception Electroencephalography Psycholinguistics Language Tests Child Cerebral Cortex
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Visual Speech Recognition: Improving Speech Perception in Noise through Artificial Intelligence.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery May 26, 2020
OBJECTIVES: To compare speech perception (SP) in noise for normal-hearing (NH) individuals and individuals with hearing loss (IWHL) and to demonstrate improvements in SP with use of a visual speech recognition program (VSRP).
Middle Aged Case-Control Studies Noise Prospective Studies Young Adult Visual Perception Humans Adult Artificial Intelligence Sound Spectrography Hearing Loss Speech Perception
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