Review discusses how automatic speech recognition enhances diagnostics in neurodegenerative disorders, suggesting improvements for hearing and learning impairments.
The last few years have brought significant advances in Automatic Speech Recognition (ASR) technology due to the rise of deep learning technology. The paper discusses various challenges relating to memory usage and computing power required for ASR are discussed as well as novel methods for combating them. It also highlights the implementation of ASR in embedded devices in the medical field. It discusses its diagnostics capabilities for various neurodegenerative disorders and its role in improving life for those afflicted with deafness or dyslexia through cochlear implants and reading therapy. Despite significant improvements in such medical technology, there are still challenges such as lack of availability of data or noisy environments with reverberant conditions.
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Sood et al. (2025) studied this question.
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