International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Artificial Intelligence for Speech Classification and Enhancement of Speech and Language Disorders |
|---|---|
| ABSTRACT | To identify the characteristics and outcomes of peer-reviewed literature on the application of Artificial Intelligence (AI) in assessing speech, language, and voice disorders (SLVDs) published in English from 2000 to 2024, we conducted a scoping review following the Arksey and O’Malley framework. Several databases were searched for peer-reviewed journal articles using the terms "artificial intelligence," "language," "speech," and "voice disorders" in their abstract or title. The speech module provides individualized exercises and uses machine learning algorithms and voice-to-text APIs to identify conditions like dysarthria and stuttering with 88–92% accuracy. The system, which was developed using Django and features like DeepSpeech and Whisper API, guarantees both therapeutic help and educational value. It is appropriate for both academic and clinical application because to its high user engagement and diagnostic efficacy. |
| AUTHOR | DR. S. SENTHAMARAISELVI, J. FEMILAROSINE, DR. S. ANITHA Head of Department, Department of Computer Applications, Vivekanandha Institute of Information and Management Studies, Tamil Nadu, India Department of Master of Computer Applications (Second Year), Vivekanandha Institute of Information and Management Studies, Tamil Nadu, India Associate Professor, Department of Computer Applications, Vivekanandha Institute of Information and Management Studies, Tamil Nadu, India |
| VOLUME | 185 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1406066 |
| pdf/66_Artificial Intelligence for Speech Classification and Enhancement of Speech and Language Disorders.pdf | |
| KEYWORDS | |
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