Cross-Modal Alignment for End-to-End Spoken Language Understanding Based on Momentum Contrastive Learning-Reference-Cited by-同舟云学术

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Cross-Modal Alignment for End-to-End Spoken Language Understanding Based on Momentum Contrastive Learning

Published:2024-04-14 Issue: Volume:34 Page:10576-10580
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zheng Beida¹,Ablimit Mijit¹,Hamdulla Askar¹

Affiliation:

1. Xinjiang University,School of Computer Science and Technology,Urumqi,China,830017

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448143.pdf?arnumber=10448143

Reference33 articles.

1. Sequential End-to-End Intent and Slot Label Classification and Localization

2. Using Speech Synthesis to Train End-To-End Spoken Language Understanding Models

3. Finstreder: simple and fast spoken language understanding with finite state transducers using modern speech-to-text models;Bermuth,2022

4. Jaco: An Offline Running Privacy-aware Voice Assistant

5. FANS: Fusing ASR and NLU for On-Device SLU

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