AIMC Topic: Speech Disorders

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Image classification-driven speech disorder detection using deep learning technique.

SLAS technology Mar 6, 2025
Speech disorders affect an individual's ability to generate sounds or utilize the voice appropriately. Neurological, developmental, physical, and trauma may cause speech disorders. Speech impairments influence communication, social interaction, educa...
Image Processing, Computer-Assisted Humans Speech Disorders Deep Learning
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Is there any room for ChatGPT AI bot in speech-language pathology?

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Mar 1, 2025
PURPOSE: This study investigates the potential of the ChatGPT-4.0 artificial intelligence bot to assist speech-language pathologists (SLPs) by assessing its accuracy, comprehensiveness, and relevance in various tasks related to speech, language, and ...
Humans Artificial Intelligence Female Generative Artificial Intelligence Speech-Language Pathology Speech Disorders Cross-Sectional Studies Male Adult
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Classification of speech arrests and speech impairments during awake craniotomy: a multi-databases analysis.

International journal of computer assisted radiology and surgery Dec 9, 2024
PURPOSE: Awake craniotomy presents a unique opportunity to map and preserve critical brain functions, particularly speech, during tumor resection. The ability to accurately assess linguistic functions in real-time not only enhances surgical precision...
Humans Female Aged Wakefulness Craniotomy Male Adult Brain Neoplasms Speech Disorders Middle Aged Deep Learning
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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...
Deep Learning Speech Stuttering Humans Speech Production Measurement Speech Disorders
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Deep learning applications in telerehabilitation speech therapy scenarios.

Computers in biology and medicine Jul 12, 2022
Nowadays, many application scenarios benefit from automatic speech recognition (ASR) technology. Within the field of speech therapy, in some cases ASR is exploited in the treatment of dysarthria with the aim of supporting articulation output. However...
Speech Therapy Deep Learning Telerehabilitation Dysarthria Speech Disorders Speech Recognition Software Humans
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Swarm of micro flying robots in the wild.

Science robotics May 4, 2022
Aerial robots are widely deployed, but highly cluttered environments such as dense forests remain inaccessible to drones and even more so to swarms of drones. In these scenarios, previously unknown surroundings and narrow corridors combined with requ...
Sports Speech Disorders Robotics Benchmarking Humans Algorithms
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Trajectory Planner CDT-RRT* for Car-Like Mobile Robots toward Narrow and Cluttered Environments.

Sensors (Basel, Switzerland) Jul 15, 2021
In order to achieve the safe and efficient navigation of mobile robots, it is essential to consider both the environmental geometry and kinodynamic constraints of robots. We propose a trajectory planner for car-like robots on the basis of the Dual-Tr...
Automobiles Robotics Humans Speech Disorders Algorithms Computer Simulation
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A Methodology to Differentiate Parkinson's Disease and Aging Speech Based on Glottal Flow Acoustic Analysis.

International journal of neural systems Sep 3, 2020
Speech is controlled by axial neuromotor systems, therefore, it is highly sensitive to the effects of neurodegenerative illnesses such as Parkinson's Disease (PD). Patients suffering from PD present important alterations in speech, which are manifest...
Aging Support Vector Machine Diagnosis, Differential Speech Acoustics Parkinson Disease Female Aged Male Humans Phonation Speech Disorders
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Recognition of words from brain-generated signals of speech-impaired people: Application of autoencoders as a neural Turing machine controller in deep neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 9, 2019
There is an essential requirement to support people with speech and communication disabilities. A brain-computer interface using electroencephalography (EEG) is applied to satisfy this requirement. A number of research studies to recognize brain sign...
Speech Disorders Humans Electroencephalography Neural Networks, Computer Brain Deep Learning Brain-Computer Interfaces Speech Recognition Software
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Automatic prediction of intelligible speaking rate for individuals with ALS from speech acoustic and articulatory samples.

International journal of speech-language pathology Nov 8, 2018
: This research aimed to automatically predict intelligible speaking rate for individuals with Amyotrophic Lateral Sclerosis (ALS) based on speech acoustic and articulatory samples. Twelve participants with ALS and two normal subjects produced a tot...
Speech Disorders Middle Aged Speech Acoustics Support Vector Machine Aged Speech Recognition Software Speech Production Measurement Humans Amyotrophic Lateral Sclerosis Adult Speech Intelligibility Female Male
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