Pronunciation Scoring With Goodness of Pronunciation and Dynamic Time Warping-Reference-Cited by-同舟云学术

Pronunciation Scoring With Goodness of Pronunciation and Dynamic Time Warping

Published:2023 Issue: Volume:11 Page:15485-15495
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sheoran Kavita¹^ORCID,Bajgoti Arpit¹^ORCID,Gupta Rishik¹^ORCID,Jatana Nishtha¹,Dhand Geetika¹,Gupta Charu²^ORCID,Dadheech Pankaj³^ORCID,Yahya Umar⁴^ORCID,Aneja Nagender⁵^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India

2. Department of Computer Science and Engineering, Bhagwan Parhsuram Institute of Technology, New Delhi, India

3. Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Management and Gramothan, Rajasthan, Jaipur, India

4. Department of Computer Science and Information Technology, Faculty of Science, Islamic University in Uganda, Kampala, Uganda

5. School of Digital Science, Univerisiti Brunei Darussalam, Gadong, Brunei Darussalam

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10042421.pdf?arnumber=10042421

Reference40 articles.

1. Phone-level pronunciation scoring and assessment for interactive language learning

2. 3M: An Effective Multi-view, Multi-granularity, and Multi-aspect Modeling Approach to English Pronunciation Assessment

3. ASR error detection using recurrent neural network language model and complementary ASR

4. The Modular Design of an English Pronunciation Level Evaluation System Based on Machine Learning

5. Improved approaches of modeling and detecting Error Patterns with empirical analysis for Computer-Aided Pronunciation Training