Classroom Audio Analysis for Estimating Engagement of the Students-Reference-Cited by-同舟云学术

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Classroom Audio Analysis for Estimating Engagement of the Students

Published:2023-11-28 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)
language:
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Author:

Devi Hidangmayum Bebina¹,Bhatia Piyush²,Yuan Xiaohui³,Duraisamy Prakash⁴,Sandhan Tushar¹

Affiliation:

1. EE Indian Institute of Technology,Perception and Intelligence Lab,Kanpur

2. Indian Institute of Technology,Dept. of Electrical Engineering,Kanpur

3. University of North Texas,Dept. of Computer Science and Engg.,U.S.A.

4. University of Wisconsin-Green Bay,Dept. of Computer Science,U.S.A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10398281/10398232/10398346.pdf?arnumber=10398346

Reference23 articles.

1. Real-Time Attention Monitoring System for Classroom: A Deep Learning Approach for Student’s Behavior Recognition

2. A Deep-Learning Based Method for Analysis of Students’ Attention in Offline Class

3. Voice recognition algorithms using mel frequency cepstral coefficient (mfcc) and dynamic time warping (dtw) techniques;Muda,2010

4. Effect of MFCC normalization on vector quantization based speaker identification

5. Vector quantization

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