Automatic speech recognition in neurodegenerative disease

نویسندگان

چکیده

Abstract Automatic speech recognition (ASR) could potentially improve communication by providing transcriptions of in real time. ASR is particularly useful for people with progressive disorders that lead to reduced intelligibility or difficulties performing motor tasks. services are usually trained on healthy and may not be optimized impaired speech, creating a barrier accessing augmented assistance devices. We tested the performance three state-of-the-art platforms two groups neurodegenerative disease controls. further examined individual differences explain errors within groups, such as age sex. Speakers were recorded while reading standard text. Speech was elicited from individuals multiple sclerosis, Friedreich’s ataxia, Recordings manually transcribed compared using Amazon Web Services, Google Cloud, IBM Watson. Accuracy measured proportion words correctly classified. accuracy higher controls than clinical sclerosis ataxia all services. Services Cloud yielded decreased increased duration. Age sex did significantly affect accuracy. faces challenges neuromuscular disorders. Until improvements made recognizing less intelligible true value requiring devices alternative remains unrealized. suggest potential methods those speech.

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