Spoken Language Understanding of Human-Machine Conversations for Language Learning Applications

Autor: Patrick Lange, Frank K. Soong, Vikram Ramanarayanan, Rutuja Ubale, Yao Qian, Keelan Evanini

Publikováno v: Journal of Signal Processing Systems. 92:805-817

Spoken language understanding (SLU) in human machine conversational systems is the process of interpreting the semantic meaning conveyed by a user’s spoken utterance. Traditional SLU approaches transform the word string transcribed by an automatic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::78843ca50f9817a42fd932adbd74cdca
https://doi.org/10.1007/s11265-019-01484-3

Automatic Detection of Word-Level Reading Errors in Non-native English Speech Based on ASR Output

Autor: Keelan Evanini, Patrick Lange, Anastassia Loukina, Tan Lee, Yao Qian, Ying Qin, Abhinav Misra

Publikováno v: ISCSLP

Automated reading error detection has attracted a lot of interest in the area of computer-assisted language learning and auto-mated reading tutors. This paper presents preliminary experimental results on automatic detection of word-level reading erro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d922d3ae864f00048259dc676f167cc
https://doi.org/10.1109/iscslp49672.2021.9362102

Do Face Masks Introduce Bias in Speech Technologies? The Case of Automated Scoring of Speaking Proficiency

Autor: Klaus Zechner, Keelan Evanini, Ian Blood, Anastassia Loukina, Matthew Mulholland

Publikováno v: INTERSPEECH

The COVID-19 pandemic has led to a dramatic increase in the use of face masks worldwide Face coverings can affect both acoustic properties of the signal as well as speech patterns and have unintended effects if the person wearing the mask attempts to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f546c95f43f14e54fe3038dbb230c60c
https://doi.org/10.21437/interspeech.2020-1264

Using Automated Scoring in K–12 English Language Proficiency Assessments

Autor: Yoko Futagi, Keelan Evanini, Maurice Cogan Hauck

Publikováno v: Assessing English Language Proficiency in U.S. K–12 Schools ISBN: 9780429491689

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2116eb0a49dced5aa252e40e80bcf71d
https://doi.org/10.4324/9780429491689-11

Mobile-Assisted Prosody Training for Limited English Proficiency. Learner Background and Speech Learning Pattern

Autor: Kevin Hirschi, John H. L. Hansen, Okim Kang, Keelan Evanini, Helmer Strik, Catia Cucchiarini

Publikováno v: Proceedngs of Interspeech 2020, 4452-4456. [S.l.] : [S.n.]
STARTPAGE=4452;ENDPAGE=4456;TITLE=Proceedngs of Interspeech 2020
INTERSPEECH
Proceedngs of Interspeech 2020, pp. 4452-4456

Contains fulltext : 228191.pdf (Publisher’s version ) (Open Access) Interspeech 2020, 25 oktober 2020

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c9ebf523d83c539fd3c0651b1cde107
http://hdl.handle.net/2066/228191