Interdecoder: using Attention Decoders as Intermediate Regularization for CTC-Based Speech Recognition
Author:
Affiliation:
1. LINE Corporation,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10022052/10022330/10022760.pdf?arnumber=10022760
Reference32 articles.
1. Intermediate loss regularization for etc-based speech recognition;lee;Proc ICASSP,2021
2. Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment
3. Hierarchical conditional end-to-end asr with etc and multi-granular subword units;higuchi;Proc ICASSP,2022
4. Relaxing the Conditional Independence Assumption of CTC-Based ASR by Conditioning on Intermediate Predictions
5. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
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1. Keep Decoding Parallel With Effective Knowledge Distillation From Language Models To End-To-End Speech Recognisers;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. Mask-Conformer: Augmenting Conformer with Mask-Predict Decoder;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
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