Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech-Reference-Cited by-同舟云学术

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Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech

Published:2019-09-15 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2019
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Author:

Tomashenko Natalia,Caubrière Antoine,Estève Yannick

Publisher

ISCA

Cited by 18 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. Exploring Model-Level Transfer Learning to Improve the Recognition of Sinhala Speech;Signals and Communication Technology;2023-10-26

2. Benefits of pre-trained mono- and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech;EURASIP Journal on Audio, Speech, and Music Processing;2023-04-07

3. Stop: A Dataset for Spoken Task Oriented Semantic Parsing;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09

4. Adversarial Knowledge Distillation For Robust Spoken Language Understanding;Interspeech 2022;2022-09-18

5. Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

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