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5 articles for “Speech Intelligibility Rating”
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Cochlear Implantation in a Late-Implanted Prelingual Child: A Case Report
Abstract: Objective – To evaluate outcomes of unilateral cochlear implantation (CI) in a late implanted patient. Study Design - Prospective Case study. Subject - A young 12 yrs. old girl with congenital bilateral ‘severe to profound sensorineural hearing loss’ with Speech & language delay. Intervention – Unilateral Cochlear Implant with Neubio BOLD CI system done at the age of 11yrs. Main Outcome Measures-“Meaningful Auditory Integration Scale” (MAIS), “Revised Categories of Auditory …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 65–70 Read article
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The Intelligibility in Context Scale in Tamil—Reliability and Validity Measures
Abstract: Objective: The Intelligibility in Context Scale (ICS) was originally developed by Sharynne McLeod, Linda J. Harrison and Jane McCormack in 2012. It is a 7 item parent-rated questionnaire designed to assess speech intelligibility in very young children using a quantitative score out of 5. It is intended to supplement other clinical measures of speech intelligibility in providing a comprehensive picture of the speech of children with several speech impairments (speech …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 3, 2019 · pp. 16–21 Read article
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Dysarthria and Dysphagia in Amyotrophic Lateral Sclerosis: A Case Study
Abstract: Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease affecting the bulbar, limb and respiratory muscles. ALS is generally characterized by progressive degeneration of both upper motor neuron (UMN) and lower motor neuron (LMN) dysfunction leading to a ‘mixed’ spastic-flaccid dysarthria. To date, only a few studies have been published regarding the nature of speech characteristics and dysphagia during the developmental course of ALS. The present study highlighted …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 3, 2020 · pp. 12–19 Read article
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Design And Implementation Of A Multi-Modal Mobile Application Safety Analytics Utilizing Nlp
Abstract: This study suggests a multi-modal mobile app safety analytics platform that uses natural language processing (NLP) to handle voice, text, and SOS messages. For effective intent recognition and decision-making, the platform processes all messages in a standard text or SOS flag format. Tokenization and normalization are used to process text communications, whereas noise reduction and text conversion are used to handle voice messages. For a quicker response, the SOS messages …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Artificial Intelligence in Image Recognition: Context of Machine Vision
Abstract: The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article