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Multitask Learning and Joint Optimization for Transformer-RNN-Transducer
  Speech Recognition

Multitask Learning and Joint Optimization for Transformer-RNN-Transducer Speech Recognition

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
2 November 2020
J. Jeon
Eesung Kim
ArXiv (abs)PDFHTML

Papers citing "Multitask Learning and Joint Optimization for Transformer-RNN-Transducer Speech Recognition"

7 / 7 papers shown
Noisy Disentanglement with Tri-stage Training for Noise-Robust Speech Recognition
Noisy Disentanglement with Tri-stage Training for Noise-Robust Speech Recognition
Shuangyuan Chen
Shuang Wei
Dongxing Xu
Yanhua Long
206
0
0
01 Sep 2025
Accelerating Transducers through Adjacent Token Merging
Accelerating Transducers through Adjacent Token MergingInterspeech (Interspeech), 2023
Yuang Li
Yu-Huan Wu
Jinyu Li
Shujie Liu
223
8
0
28 Jun 2023
Phonetic-assisted Multi-Target Units Modeling for Improving
  Conformer-Transducer ASR system
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR systemInterspeech (Interspeech), 2022
Li Li
Dongxing Xu
Haoran Wei
Yanhua Long
311
3
0
03 Nov 2022
BERT Meets CTC: New Formulation of End-to-End Speech Recognition with
  Pre-trained Masked Language Model
BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language ModelConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yosuke Higuchi
Brian Yan
Siddhant Arora
Tetsuji Ogawa
Tetsunori Kobayashi
Shinji Watanabe
318
31
0
29 Oct 2022
Memory-Efficient Training of RNN-Transducer with Sampled Softmax
Memory-Efficient Training of RNN-Transducer with Sampled SoftmaxInterspeech (Interspeech), 2022
Jaesong Lee
Lukas Lee
Shinji Watanabe
385
8
0
31 Mar 2022
A Study of Transducer based End-to-End ASR with ESPnet: Architecture,
  Auxiliary Loss and Decoding Strategies
A Study of Transducer based End-to-End ASR with ESPnet: Architecture, Auxiliary Loss and Decoding StrategiesAutomatic Speech Recognition & Understanding (ASRU), 2021
Florian Boyer
Yusuke Shinohara
Takaaki Ishii
Hirofumi Inaguma
Shinji Watanabe
301
40
0
14 Jan 2022
Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular
  Subword Units
Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword UnitsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Yosuke Higuchi
Keita Karube
Tetsuji Ogawa
Tetsunori Kobayashi
212
29
0
08 Oct 2021
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