Disfluency Assessment Using Deep Super Learners-Reference-Cited by-同舟云学术

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Disfluency Assessment Using Deep Super Learners

Published:2024 Issue: Volume:12 Page:24079-24089
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pravin Sheena Christabel¹^ORCID,Elias Susan¹^ORCID,Sivaraman Vishal Balaji²,Rohith G.¹,Phamila Y. Asnath Victy³^ORCID

Affiliation:

1. School of Electronics Engineering, Vellore Institute of Technology, Chennai, India

2. Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA

3. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India

Funder

Vellore Institute of Technology, Chennai Campus, Chennai, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10409186.pdf?arnumber=10409186

Reference27 articles.

1. Deep ensemble models for speech emotion classification

2. Clinical And Experimental Use of The Iowa Scale Of Severity of Stuttering

3. Hemodynamics of speech production: An fNIRS investigation of children who stutter

4. Timing variability of sensorimotor integration during vocalization in individuals who stutter

5. A Hybrid Deep Ensemble for Speech Disfluency Classification

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Machine Learning-Enhanced IoT Wearable Device for Monitoring and Providing Feedback on Stuttering;2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2024-06-14

2. Insights on the Distribution of Nonverbal and Verbal Oral Presentation Skills in an Educational Institution;SN Computer Science;2024-04-25

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