AIMC Topic: Speech

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Towards audio-based identification of Ethio-Semitic languages using recurrent neural network.

Scientific reports Nov 7, 2023
In recent times, there is an increasing interest in employing technology to process natural language with the aim of providing information that can benefit society. Language identification refers to the process of detecting which speech a speaker app...
Language Speech Neural Networks, Computer Algorithms
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A Korean emotion-factor dataset for extracting emotion and factors in Korean conversations.

Scientific reports Oct 29, 2023
Humans express their emotions in various ways, such as through facial expressions and voices. In particular, emotions are directly expressed or indirectly implied in the text of utterance. Research on the technology to identify emotions included in h...
Humans Speech Emotions Republic of Korea Communication Artificial Intelligence
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Speech extraction from vibration signals based on deep learning.

PloS one Oct 25, 2023
Extracting speech information from vibration response signals is a typical system identification problem, and the traditional method is too sensitive to deviations such as model parameters, noise, boundary conditions, and position. A method was propo...
Vibration Speech Noise Deep Learning
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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...
Dementia Neurodegenerative Diseases Deep Learning Speech Humans Language
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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...
Algorithms Brain Artifacts Deep Learning Humans Speech Electroencephalography Neural Networks, Computer
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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 Disorders Deep Learning Speech Humans Stuttering Speech Production Measurement
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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...
Deep Learning Speech Communication Sensorimotor Cortex Brain-Computer Interfaces Electrocorticography Humans
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Integrating an AI Speech Coach Application Into an Assignment Assessing Therapeutic Communication.

Nurse educator Sep 15, 2023
Communication Speech Nursing Education Research Humans Artificial Intelligence
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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...
Speech Language Humans Artificial Intelligence Brain
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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...
Social Interaction Humans Robotics Delivery of Health Care Health Facilities Speech
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