Jinhwan Park

According to our database1, Jinhwan Park authored at least 19 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
On the compression of shallow non-causal ASR models using knowledge distillation and tied-and-reduced decoder for low-latency on-device speech recognition.
CoRR, 2023

A More Accurate Internal Language Model Score Estimation for the Hybrid Autoregressive Transducer.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
Conformer-Based on-Device Streaming Speech Recognition with KD Compression and Two-Pass Architecture.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Macro-Block Dropout for Improved Regularization in Training End-to-End Speech Recognition Models.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

2021
Convolution-Based Attention Model With Positional Encoding For Streaming Speech Recognition On Embedded Devices.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

2020
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima.
CoRR, 2020

Effect of Adding Positional Information on Convolutional Neural Networks for End-to-End Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Low-Latency Lightweight Streaming Speech Recognition with 8-Bit Quantized Simple Gated Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Exploration of On-device End-to-End Acoustic Modeling with Neural Networks.
Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019

Simple Gated Convnet for Small Footprint Acoustic Modeling.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018
Single Stream Parallelization of Recurrent Neural Networks for Low Power and Fast Inference.
CoRR, 2018

On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hierarchical Recurrent Neural Networks for Acoustic Modeling.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Character-level Language Modeling with Gated Hierarchical Recurrent Neural Networks.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2016
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks.
Proceedings of the 2016 IEEE International Workshop on Signal Processing Systems, 2016

Architecture exploration of a programmable neural network processor for embedded systems.
Proceedings of the International Conference on Embedded Computer Systems: Architectures, 2016

FPGA based implementation of deep neural networks using on-chip memory only.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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