Potential Applications of Artificial Intelligence for Cross-language Intelligibility Assessment of Dysarthric Speech

• URL: http://arxiv.org/abs/2501.15858v2
• Date: Tue, 04 Feb 2025 10:58:25 GMT
• Title: Potential Applications of Artificial Intelligence for Cross-language Intelligibility Assessment of Dysarthric Speech
• Authors: Eunjung Yeo, Julie Liss, Visar Berisha, David Mortensen,
• Abstract summary: We propose a conceptual framework consisting of a universal model that captures language-universal speech impairments and a language-specific intelligibility model. We identify key barriers to cross-language intelligibility assessment, including data scarcity, annotation complexity, and limited linguistic insights.
• Score: 13.475654818182988
• License:
• Abstract: Purpose: This commentary introduces how artificial intelligence (AI) can be leveraged to advance cross-language intelligibility assessment of dysarthric speech. Method: We propose a conceptual framework consisting of a universal model that captures language-universal speech impairments and a language-specific intelligibility model that incorporates linguistic nuances. Additionally, we identify key barriers to cross-language intelligibility assessment, including data scarcity, annotation complexity, and limited linguistic insights, and present AI-driven solutions to overcome these challenges. Conclusion: Advances in AI offer transformative opportunities to enhance cross-language intelligibility assessment for dysarthric speech by balancing scalability across languages and adaptability by languages.

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