AI-Powered Wearable Device Restores Natural Speech to Stroke Patients

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A new wearable device has been developed that allows patients with dysarthriamia-motor-speech disorder (motor-speech disorder) stroke to communicate more naturally and fluently.

Created by an international team of researchers, the “intelligent throat” system combines advanced sensors and artificial intelligence (AI) to process silent speech and emotional signals in real time.

The system integrates fabric sensors that detect throat muscle vibrations and carotid pulse signal displays for speech processing with large-scale language models.

Unlike existing technologies, the device translates silent speech into coherent, non-delayed sentences by incorporating emotional and contextual speech.

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Tested on five dysarthria patients, the system achieved a 4.2% word error rate and a 2.9% sentence error rate, a significant improvement over existing silent speech systems.

Additionally, user satisfaction increased by 55%, highlighting his ability to deliver personalized, expressive communications.

“The system generates personalized, contextually appropriate sentences that accurately reflect patients' intended meaning,” one study found. Paper It is read on Wednesday.

The wearable design features a choker equipped with graphene-based stress sensors, providing maximum sensitivity and comfort for daily use.

The built-in wireless module ensures continuous data transmission with low power consumption, enabling all-day operations.

The LMA agents included in the system analyze speech signals and emotional signals, refining and expanding sentences to match the user's intended meaning.

The personalized approach is flexible, real-time expression, bridging the gap between patient communication needs and technology capabilities, the researchers wrote.

The researchers anticipate wider applications, including support for other neurological conditions such as ALS and Parkinson's, and multilingual adaptation.

The team is now focusing on reducing the tool and integrating it into edge computing frameworks for improved usability, they wrote.

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