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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19454
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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Published Paper Details
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| Paper Title: | Personalized AI-Powered Therapy for Dysarthria |
| Authors Name: | Ahileshwar S U , Harwin S , Purandhar S , Balaji Prasath M |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_205601
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| Published Paper Id: | IJRTI2508026 |
| Published In: | Volume 10 Issue 8, August-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i8.205601 |
| Abstract: | Dysarthria, a motor speech disorder caused by neurological impairments, affects speech intelligibility due to weakened articulatory muscles. Traditional speech therapy relies on labor-intensive, in-person sessions with speech-language pathologists (SLPs), posing accessibility challenges. This paper presents an AI-driven therapy system that automates dysarthria severity classification and delivers personalized exercises via an interactive chatbot. Our approach combines acoustic feature extraction (MFCC, Chroma, Spectral Contrast) with a Deep Neural Network (DNN) model, achieving 98% AUC in severity detection. The system includes a Streamlit-based web interface for real-time feedback, progress tracking, and adaptive exercise generation. Evaluated on the TORGO dataset, the solution demonstrates 96% accuracy and scalability, addressing critical gaps in remote speech rehabilitation. This work bridges AI and clinical speech therapy, offering a cost-effective, accessible alternative to traditional methods. |
| Keywords: | Dysarthria, AI-Powered Therapy, Speech Recognition, Deep Learning, Tele-Rehabilitation, Speech Disorder Classification, MFCC Features, Neural Network, Real-Time Feedback, TORGO Dataset. |
| Cite Article: | "Personalized AI-Powered Therapy for Dysarthria", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.a164-a168, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508026.pdf |
| Downloads: | 000775 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2508026
Registration ID:205601
Published In: Volume 10 Issue 8, August-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i8.205601
Page No: a164-a168 Country: Tiruchirappalli, Tamil Nadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2508026 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2508026 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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