Non-Autoregressive End-to-End Approaches for Joint Automatic Speech Recognition and Spoken Language Understanding
Author:
Affiliation:
1. Toshiba Europe Ltd,Cambridge Research Laboratory
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10022052/10022330/10023042.pdf?arnumber=10023042
Reference32 articles.
1. Mask CTC: Non-autoregressive end-to-end ASR with CTC and mask pre-dict;higuchi;InterSpeech,2020
2. A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation
3. Relaxing the Conditional Independence Assumption of CTC-Based ASR by Conditioning on Intermediate Predictions
4. Intermediate loss regularization for etc-based speech recognition;lee;ICASSP 2021–2021 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),0
5. On joint training with interfaces for spoken language understanding
Cited by 2 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. Towards a Unified End-to-End Language Understanding System for Speech and Text Inputs;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
2. Mask-CTC-Based Encoder Pre-Training for Streaming End-to-End Speech Recognition;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04
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