End-to-End Spoken Language Understanding Using Joint CTC Loss and Self-Supervised, Pretrained Acoustic Encoders-Reference-Cited by-同舟云学术

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End-to-End Spoken Language Understanding Using Joint CTC Loss and Self-Supervised, Pretrained Acoustic Encoders

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Wang Jixuan¹,Radfar Martin¹,Wei Kai¹,Chung Clement¹

Affiliation:

1. Amazon Alexa AI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096795.pdf?arnumber=10096795

Reference30 articles.

1. Speech to Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces

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

3. Integration of Pre-Trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding

4. End-toend spoken language understanding for generalized voice assistants;saxon,2021

5. Gaussian error linear units (gelus);hendrycks,2016

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