Comprehensive Phonological Analysis for Clinical Implication Using Self-Attention Based Grapheme to Phoneme Modeling Under Low-Resource Conditions-Reference-Cited by-同舟云学术

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Comprehensive Phonological Analysis for Clinical Implication Using Self-Attention Based Grapheme to Phoneme Modeling Under Low-Resource Conditions

Published:2023-12-07 Issue: Volume: Page:1-4
ISSN:
Container-title:2023 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS)
language:
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Author:

Bawa Puneet¹,Kadyan Virender²,Singh Muskaan³

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Speech and Language Research Centre, University of Petroleum and Energy Studies,Dehradun,India

3. Intelligent Systems Research Centre, School of Computing, Ulster University,Cognitive Analytics Research Lab,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10470453/10470478/10470608.pdf?arnumber=10470608

Reference14 articles.

1. Toward Diagnostic and Phenotype Markers for Genetically Transmitted Speech Delay

2. Multifaceted Role of Matrix Metalloproteinases in Neurodegenerative Diseases: Pathophysiological and Therapeutic Perspectives

3. Applications of Phyto-Nanotechnology for the Treatment of Neurodegenerative Disorders

4. Automatic Speaker Verification System Substantiating Children’s Dialects in School Settings

5. Evaluating the performance of large language models: ChatGPT and Google Bard in generating differential diagnoses in clinicopathological conferences of neurodegenerative disorders

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