Dongseong Hwang

According to our database1, Dongseong Hwang authored at least 16 papers between 2021 and 2024.

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Bibliography

2024
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models.
CoRR, 2024

2023
Massive End-to-end Models for Short Search Queries.
CoRR, 2023

Improving Speech Recognition for African American English With Audio Classification.
CoRR, 2023

Edit Distance based RL for RNNT decoding.
CoRR, 2023

Modular Domain Adaptation for Conformer-Based Streaming ASR.
CoRR, 2023

Revisiting the Entropy Semiring for Neural Speech Recognition.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Domain Adaptation for Speech Foundation Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

Comparison of Soft and Hard Target RNN-T Distillation for Large-Scale ASR.
Proceedings of the IEEE International Conference on Acoustics, 2023

Resource-Efficient Transfer Learning from Speech Foundation Model Using Hierarchical Feature Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2023

Efficient Cascaded Streaming ASR System Via Frame Rate Reduction.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Pseudo Label Is Better Than Human Label.
Proceedings of the Interspeech 2022, 2022

Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device.
Proceedings of the Interspeech 2022, 2022

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes.
Proceedings of the Interspeech 2022, 2022

Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device.
CoRR, 2021

A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021


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