Low resource end-to-end spoken language understanding with capsule networks-Reference-Cited by-同舟云学术

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Low resource end-to-end spoken language understanding with capsule networks

Published:2021-03 Issue: Volume:66 Page:101142
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Poncelet Jakob^ORCID,Renkens Vincent^ORCID,Van hamme Hugo^ORCID

Funder

Flemish Government

Research Foundation Flanders

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference32 articles.

1. Structured learning for spoken language understanding in human-robot interaction;Bastianelli;Int J Rob Res,2017

2. Attention-based models for speech recognition;Chorowski,2015

3. A comparative study of adaptive, automatic recognition of disordered speech;Christensen,2012

4. Spoken language understanding;De Mori;IEEE Signal Process. Mag.,2008

5. Towards end-to-end spoken intent recognition in smart home;Desot,2019

Cited by 12 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. A Novel Capsule Network with Attention Routing for Text Classification;2024-09-12

2. A Quantum-Like Tensor Compression Sentence Representation Based on Constraint Functions for Semantics Analysis;International Journal of Computational Intelligence Systems;2024-01-03

3. Models and Approaches for Comprehension of Dysarthric Speech Using Natural Language Processing: Systematic Review;JMIR Rehabilitation and Assistive Technologies;2023-10-27

4. Pareto-Optimized Non-Negative Matrix Factorization Approach to the Cleaning of Alaryngeal Speech Signals;Cancers;2023-07-16

5. On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09

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