Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children-Reference-Cited by-同舟云学术

Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children

Published:2023 Issue: Volume:11 Page:86025-86037
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Getman Yaroslav¹^ORCID,Phan Nhan¹^ORCID,Al-Ghezi Ragheb¹,Voskoboinik Ekaterina¹,Singh Mittul¹,Grósz Tamás¹^ORCID,Kurimo Mikko¹,Salvi Giampiero²^ORCID,Svendsen Torbjørn²^ORCID,Strömbergsson Sofia³^ORCID,Smolander Anna⁴,Ylinen Sari⁴^ORCID

Affiliation:

1. Department of Information and Communications Engineering, Aalto University, Espoo, Finland

2. Department of Signal Processing, Norwegian University of Science and Technology, Trondheim, Norway

3. Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Huddinge, Sweden

4. Logopedics, Welfare Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland

Funder

NordForsk through funding to technology-enhanced foreign and second-language learning of Nordic languages

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/ielx7/6287639/10005208/10214276.pdf?arnumber=10214276

Reference62 articles.

1. Sensorimotor Integration in Speech Processing: Computational Basis and Neural Organization

2. Understanding the Interaction between Technology and the Learner: The Case of DLL

3. Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks

4. Digital Language Learning (DLL): Insights from Behavior, Cognition, and the Brain

5. Mental imagery of speech and movement implicates the dynamics of internal forward models

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