Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom

Wenquan Chang; Dongxing Li; Zuying Luo

doi:doi:10.11648/j.si.20170503.14

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Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom

Wenquan Chang, Dongxing Li, Zuying Luo

Published in Science Innovation (Volume 5, Issue 3)

Received: 20 April 2017 Published: 20 April 2017

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Abstract

Question-and-aswer (Q&A) is the important content of classroom evaluation. In order to meet the needs of large-scale class evaluation, this work uses voice analysis technology to implement exploratory research on automatic Q&A analyse, mainly on speaker recognition based on MFCC Gaussian mixture model and closed/open question identification based on the logistic regression method. The Q&A auto-analysis system developed in this work can perform automatic analyses for several classroom evaluation indexes including Q&A times, speaking durations of the teacher and his students, and the number of open questions and closed questions. For the real classroom teaching video down-loaded from “CCTV network Chinese public class”, both the speaker recognition and closed/open questions identification of this work have obtained satisfied recognition accuracy with recognition rates above 93%.

Published in	Science Innovation (Volume 5, Issue 3)
DOI	10.11648/j.si.20170503.14
Page(s)	144-150
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Classroom Evaluation, Interaction Among a Teacher and Students, Logistic Regression Model, Speaker Recognition

References

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[7]	Lu Z, Liu B, Shen L. Speech endpoint detection in strong noisy environment based on the Hilbert-Huang Transform [C]// International Conference on Mechatronics and Automation. IEEE, 2009: 4322-4326.
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[12]	Xinxing Ling. Ling Zhan. Hong Zhao. Ping Zhou. Speaker Recognition System Using the Improved GMM-based Clustering Algorithm [C]. Intelligent Computing and Integrated Systems (ICISS), 2010(10):22-24.
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APA Style

Wenquan Chang, Dongxing Li, Zuying Luo. (2017). Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom. Science Innovation, 5(3), 144-150. https://doi.org/10.11648/j.si.20170503.14

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ACS Style

Wenquan Chang; Dongxing Li; Zuying Luo. Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom. Sci. Innov. 2017, 5(3), 144-150. doi: 10.11648/j.si.20170503.14

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AMA Style

Wenquan Chang, Dongxing Li, Zuying Luo. Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom. Sci Innov. 2017;5(3):144-150. doi: 10.11648/j.si.20170503.14

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@article{10.11648/j.si.20170503.14,
  author = {Wenquan Chang and Dongxing Li and Zuying Luo},
  title = {Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom},
  journal = {Science Innovation},
  volume = {5},
  number = {3},
  pages = {144-150},
  doi = {10.11648/j.si.20170503.14},
  url = {https://doi.org/10.11648/j.si.20170503.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20170503.14},
  abstract = {Question-and-aswer (Q&A) is the important content of classroom evaluation. In order to meet the needs of large-scale class evaluation, this work uses voice analysis technology to implement exploratory research on automatic Q&A analyse, mainly on speaker recognition based on MFCC Gaussian mixture model and closed/open question identification based on the logistic regression method. The Q&A auto-analysis system developed in this work can perform automatic analyses for several classroom evaluation indexes including Q&A times, speaking durations of the teacher and his students, and the number of open questions and closed questions. For the real classroom teaching video down-loaded from “CCTV network Chinese public class”, both the speaker recognition and closed/open questions identification of this work have obtained satisfied recognition accuracy with recognition rates above 93%.},
 year = {2017}
}

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TY  - JOUR
T1  - Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom
AU  - Wenquan Chang
AU  - Dongxing Li
AU  - Zuying Luo
Y1  - 2017/04/20
PY  - 2017
N1  - https://doi.org/10.11648/j.si.20170503.14
DO  - 10.11648/j.si.20170503.14
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 144
EP  - 150
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20170503.14
AB  - Question-and-aswer (Q&A) is the important content of classroom evaluation. In order to meet the needs of large-scale class evaluation, this work uses voice analysis technology to implement exploratory research on automatic Q&A analyse, mainly on speaker recognition based on MFCC Gaussian mixture model and closed/open question identification based on the logistic regression method. The Q&A auto-analysis system developed in this work can perform automatic analyses for several classroom evaluation indexes including Q&A times, speaking durations of the teacher and his students, and the number of open questions and closed questions. For the real classroom teaching video down-loaded from “CCTV network Chinese public class”, both the speaker recognition and closed/open questions identification of this work have obtained satisfied recognition accuracy with recognition rates above 93%.
VL  - 5
IS  - 3
ER  -

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Author Information

Wenquan Chang

College of Information Science and Technology, Beijing Normal University, Beijing, China
Dongxing Li

College of Information Science and Technology, Beijing Normal University, Beijing, China
Zuying Luo

College of Information Science and Technology, Beijing Normal University, Beijing, China

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APA Style

Wenquan Chang, Dongxing Li, Zuying Luo. (2017). Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom. Science Innovation, 5(3), 144-150. https://doi.org/10.11648/j.si.20170503.14

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ACS Style

Wenquan Chang; Dongxing Li; Zuying Luo. Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom. Sci. Innov. 2017, 5(3), 144-150. doi: 10.11648/j.si.20170503.14

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AMA Style

Wenquan Chang, Dongxing Li, Zuying Luo. Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom. Sci Innov. 2017;5(3):144-150. doi: 10.11648/j.si.20170503.14

Copy | Download

@article{10.11648/j.si.20170503.14,
  author = {Wenquan Chang and Dongxing Li and Zuying Luo},
  title = {Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom},
  journal = {Science Innovation},
  volume = {5},
  number = {3},
  pages = {144-150},
  doi = {10.11648/j.si.20170503.14},
  url = {https://doi.org/10.11648/j.si.20170503.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20170503.14},
  abstract = {Question-and-aswer (Q&A) is the important content of classroom evaluation. In order to meet the needs of large-scale class evaluation, this work uses voice analysis technology to implement exploratory research on automatic Q&A analyse, mainly on speaker recognition based on MFCC Gaussian mixture model and closed/open question identification based on the logistic regression method. The Q&A auto-analysis system developed in this work can perform automatic analyses for several classroom evaluation indexes including Q&A times, speaking durations of the teacher and his students, and the number of open questions and closed questions. For the real classroom teaching video down-loaded from “CCTV network Chinese public class”, both the speaker recognition and closed/open questions identification of this work have obtained satisfied recognition accuracy with recognition rates above 93%.},
 year = {2017}
}

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TY  - JOUR
T1  - Research on Automatic Speech Analysis for Teacher’s Q&A in Classroom
AU  - Wenquan Chang
AU  - Dongxing Li
AU  - Zuying Luo
Y1  - 2017/04/20
PY  - 2017
N1  - https://doi.org/10.11648/j.si.20170503.14
DO  - 10.11648/j.si.20170503.14
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 144
EP  - 150
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20170503.14
AB  - Question-and-aswer (Q&A) is the important content of classroom evaluation. In order to meet the needs of large-scale class evaluation, this work uses voice analysis technology to implement exploratory research on automatic Q&A analyse, mainly on speaker recognition based on MFCC Gaussian mixture model and closed/open question identification based on the logistic regression method. The Q&A auto-analysis system developed in this work can perform automatic analyses for several classroom evaluation indexes including Q&A times, speaking durations of the teacher and his students, and the number of open questions and closed questions. For the real classroom teaching video down-loaded from “CCTV network Chinese public class”, both the speaker recognition and closed/open questions identification of this work have obtained satisfied recognition accuracy with recognition rates above 93%.
VL  - 5
IS  - 3
ER  -

Copy | Download