Towards Reducing the Need for Speech Training Data to Build Spoken Language Understanding Systems-Reference-Cited by-同舟云学术

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Towards Reducing the Need for Speech Training Data to Build Spoken Language Understanding Systems

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Thomas Samuel¹,Kuo Hong-Kwang J.¹,Kingsbury Brian¹,Saon George¹

Affiliation:

1. IBM Research AI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747555.pdf?arnumber=9747555

Reference28 articles.

1. Improved End-To-End Spoken Utterance Classification with a Self-Attention Acoustic Classifier

2. End-to-End Neural Transformer Based Spoken Language Understanding

3. Improving End-to-End Speech-to-Intent Classification with Reptile

4. Large-scale transfer learning for low-resource spoken language understanding;jia;Proc INTERSPEECH,2020

5. End-to-End Spoken Language Understanding Without Full Transcripts

Cited by 10 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. Cascaded cross-modal transformer for audio–textual classification;Artificial Intelligence Review;2024-08-02

2. Cross-Modal Alignment for End-to-End Spoken Language Understanding Based on Momentum Contrastive Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Written Term Detection Improves Spoken Term Detection;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. End-to-End Speech Recognition: A Survey;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

5. Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

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