Automated Prosody Classification for Oral Reading Fluency with Quadratic Kappa Loss and Attentive X-Vectors-Reference-Cited by-同舟云学术

Automated Prosody Classification for Oral Reading Fluency with Quadratic Kappa Loss and Attentive X-Vectors

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
Short-container-title:

Author:

Sammit George¹,Wu Zhongjie¹,Wang Yihao¹,Wu Zhongdi¹,Kamata Akihito²,Nese Joseph³,Larson Eric C.¹

Affiliation:

1. Southern Methodist University,Department of Computer Science,Dallas,TX,USA

2. Southern Methodist University,Simmons School of Education,Dallas,TX,USA

3. University of Oregon,College of Education,Eugene,OR,USA

Publisher

IEEE

Link

Reference36 articles.

1. Nces. cdp05.1 and cdp05.3: 2014-18, geography: United states, population group: Relevant children – enrolled (public),0

2. Interrater agreement and interrater reliability: Key concepts, approaches, and applications;gisev;RSAP,2012

4. easycbm® reading criterion related validity evidence;lai;Behav Research and Teach,2013

Cited by 5 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. Improving Oral Reading Fluency Assessment Through Sub-Sequence Matching of Acoustic Word Embeddings;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14