AIMC Topic: Speech Disorders

Clear Filters Showing 11 to 16 of 16 articles

An intelligent artificial throat with sound-sensing ability based on laser induced graphene.

Nature communications
Traditional sound sources and sound detectors are usually independent and discrete in the human hearing range. To minimize the device size and integrate it with wearable electronics, there is an urgent requirement of realizing the functional integrat...

Towards Artificial Speech Therapy: A Neural System for Impaired Speech Segmentation.

International journal of neural systems
This paper presents a neural system-based technique for segmenting short impaired speech utterances into silent, unvoiced, and voiced sections. Moreover, the proposed technique identifies those points of the (voiced) speech where the spectrum becomes...

Clinical Application of Large Language Models for Intervention Plan Development in Speech-Language Pathology.

American journal of speech-language pathology
PURPOSE: This study investigates the speech and language intervention plan outputs generated by six different artificial intelligence (AI) tools powered by large language models (LLMs), currently available for clinical writing in the field of speech-...

Deep learning-based classification of speech disorder in stroke and hearing impairment.

PloS one
BACKGROUND AND OBJECTIVE: Speech disorders can arise from various causes, including congenital conditions, neurological damage, diseases, and other disorders. Traditionally, medical professionals have used changes in voice to diagnose the underlying ...

Fusion of WPT and MFCC feature extraction in Parkinson's disease diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Parkinson's disease (PD) is a neurological disorder, progressive in nature. In order to provide customized patient care, diagnosis and monitoring using smart gadgets, smartphones, and smartwatches, there is a need for a system that works ...