A Machine Learning-Enhanced IoT Wearable Device for Monitoring and Providing Feedback on Stuttering

Author:

Suttarwala Hussain1,Kumar Ritesh2,Deorankar Madhavi L.3,Daulat Sarpate Dikshendra4,Shingade Pallavi5,Kumar Sharma Surender6,More Vrushali7,Patkar Uday Chandrakant8,Sharma Deepak K.9

Affiliation:

1. American Express,Senior Software Engineer,Phoenix,AZ,USA,85054

2. Dr. Akhilesh Das Gupta Institute of Professional Studies,Dept. of AI and Data Science,New Delhi, Delhi,India,110053

3. Marathwada Mitramandal College of Engineering,Dept. of Electronics and Telecommunications,Pune,Maharashtra,India,411052

4. Zeal College of Engineering and Research,Dept. of AI and Data Science,Narhe Pune,Maharashtra,India,411041

5. D Y Patil College of Engineering,Dept. of AI and Data Science,Akurdi,Pune,India,411041

6. Poornima University,Dept. of Electrical Engineering,Jaipur,India

7. Genba Sopanrao Moze College of Engineering,Dept. of AI and Data Science,Balewadi, Pune,Maharashtra,India,411045

8. Bharati Vidyapeeth’s College of Engineering,Department of Computer Engineering,Lavale Pune,412115

9. Savitribai Phule Pune University,Dept. of AI and Data Science,Pune,Maharashtra,India

Publisher

IEEE

Reference22 articles.

1. Automatic Framework to Aid Therapists to Diagnose Children who Stutter;Alharbi,2018

2. Computational Intelligence-Based Stuttering Detection: A Systematic Review

3. Smart watches: A review of evolution in bio-medical sector

4. Boosting Object Representation Learning via Motion and Object Continuity

5. Towards an mlops architecture for xai in industrial applications;Faubel,2023

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