AIMC Topic: Speech

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Speech and language processing with deep learning for dementia diagnosis: A systematic review.

Psychiatry research Oct 10, 2023
Dementia is a progressive neurodegenerative disease that burdens the person living with the disease, their families, and medical and social services. Timely diagnosis of dementia could be followed by introducing interventions that may slow down its p...
Humans Language Deep Learning Speech Dementia Neurodegenerative Diseases
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A Deep Learning Model for Correlation Analysis between Electroencephalography Signal and Speech Stimuli.

Sensors (Basel, Switzerland) Sep 23, 2023
In recent years, the use of electroencephalography (EEG) has grown as a tool for diagnostic and brain function monitoring, being a simple and non-invasive method compared with other procedures like histological sampling. Typically, in order to extrac...
Deep Learning Speech Electroencephalography Artifacts Algorithms Brain Neural Networks, Computer Humans
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TranStutter: A Convolution-Free Transformer-Based Deep Learning Method to Classify Stuttered Speech Using 2D Mel-Spectrogram Visualization and Attention-Based Feature Representation.

Sensors (Basel, Switzerland) Sep 22, 2023
Stuttering, a prevalent neurodevelopmental disorder, profoundly affects fluent speech, causing involuntary interruptions and recurrent sound patterns. This study addresses the critical need for the accurate classification of stuttering types. The res...
Speech Stuttering Humans Deep Learning Speech Production Measurement Speech Disorders
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Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models.

Journal of neural engineering Sep 20, 2023
Development of brain-computer interface (BCI) technology is key for enabling communication in individuals who have lost the faculty of speech due to severe motor paralysis. A BCI control strategy that is gaining attention employs speech decoding from...
Communication Deep Learning Speech Brain-Computer Interfaces Humans Electrocorticography Sensorimotor Cortex
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Integrating an AI Speech Coach Application Into an Assignment Assessing Therapeutic Communication.

Nurse educator Sep 15, 2023
Humans Artificial Intelligence Nursing Education Research Communication Speech
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Artificial intelligence based multimodal language decoding from brain activity: A review.

Brain research bulletin Jul 23, 2023
Decoding brain activity is conducive to the breakthrough of brain-computer interface (BCI) technology. The development of artificial intelligence (AI) continually promotes the progress of brain language decoding technology. Existent research has main...
Humans Artificial Intelligence Speech Brain Language
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How can social robot use cases in healthcare be pushed - with an interoperable programming interface.

BMC medical informatics and decision making Jul 11, 2023
INTRODUCTION: Research into current robot middleware has revealed that most of them are either too complicated or outdated. These facts have motivated the development of a new middleware to meet the requirements of usability by non-experts. The propo...
Robotics Delivery of Health Care Health Facilities Speech Social Interaction Humans
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Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer.

Sensors (Basel, Switzerland) Jul 7, 2023
Speech emotion recognition (SER) is a challenging task in human-computer interaction (HCI) systems. One of the key challenges in speech emotion recognition is to extract the emotional features effectively from a speech utterance. Despite the promisin...
Neural Networks, Computer Emotions Algorithms Humans Speech Computer Systems
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Efficient Self-Attention Model for Speech Recognition-Based Assistive Robots Control.

Sensors (Basel, Switzerland) Jun 30, 2023
Assistive robots are tools that people living with upper body disabilities can leverage to autonomously perform Activities of Daily Living (ADL). Unfortunately, conventional control methods still rely on low-dimensional, easy-to-implement interfaces ...
Activities of Daily Living Speech Perception Self-Help Devices Speech Humans Robotics
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A Speech Recognition Method Based on Domain-Specific Datasets and Confidence Decision Networks.

Sensors (Basel, Switzerland) Jun 29, 2023
This paper proposes a speech recognition method based on a domain-specific language speech network (DSL-Net) and a confidence decision network (CD-Net). The method involves automatically training a domain-specific dataset, using pre-trained model par...
Sound Spectrography Neural Networks, Computer Datasets as Topic Speech Models, Theoretical Speech Recognition Software Speech Perception
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