Artificial intelligence would be used to detect changes in the vocals of each patient after a laryngectomy.
Researchers from Kaunas University of Technology Faculty of Informatics and Lithuanian University of Health Sciences in Lithuania have created a new substitute voice evaluation index that can detect pathologies in patients’ voices more quickly and efficiently. Voice pathologies include a variety of disorders such as growths on the vocal cords, spasms, swelling or paralysis in the vocal cords.Laryngectomy is a surgery that requires the removal of the larynx.
“For some, the voice changes only slightly, while for others, it can be a life-changing situation. Imagine calling someone on the phone, emergency services, police, etc. – and the one you’re calling does not understand anything. Or even not hear you – as the phone’s noise removal system will cut it out,” said Dr. Rytis Maskeliunas, professor with the Department of Multimedia Engineering, Faculty of Informatics and chief researcher at Kaunas University of Technology Faculty of Informatics.
Often, these types of surgeries require the removal of one or both vocal cords, and sometimes, the entire larynx, to remove a malignant laryngeal tumor. This causes a patient to use the part of the laryngeal structure left after the operation, what the researchers call a “substitute voice.” The team also noted that the quality of the voice and speech declines after the operation, making it more difficult for the patient to communicate.
Dr. Maskeliūnas mentioned the uniqueness of the study. “Previous studies have never successfully used artificial intelligence as an expert assistant in voice analysis,” he stated. Due to the innovation, the process after surgery is now automated. This allows for the researchers to install automated screening solutions, allowing medical professionals to follow the course of the disease and diagnose pathologies.
“Until now, in medical practice, there was no suitable method to objectively and quantitatively evaluate the “substitute” voice. Our proposed ASVI algorithm allows the evaluation process to be done automatically in a concise time,” said Virgilijus Ulozas, professor at the Lithuanian University of Health Sciences .
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