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ORCIDJinhwan Park
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2020 – today
- 2023
[c16]Kyungmin Lee, Haeri Kim, Sichen Jin, Jinhwan Park, Youngho Han:
A More Accurate Internal Language Model Score Estimation for the Hybrid Autoregressive Transducer. INTERSPEECH 2023: 869-873- [i6]Nagaraj Adiga, Jinhwan Park, Chintigari Shiva Kumar, Shatrughan Singh, Kyungmin Lee, Chanwoo Kim, Dhananjaya Gowda:
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 abs/2312.09842 (2023) - 2022
- [c15]Jinhwan Park, Sichen Jin, Junmo Park, Sungsoo Kim, Dhairya Sandhyana, Changheon Lee, Myoungji Han, Jungin Lee, Seokyeong Jung, Changwoo Han, Chanwoo Kim:
Conformer-Based on-Device Streaming Speech Recognition with KD Compression and Two-Pass Architecture. SLT 2022: 92-99 - [c14]Chanwoo Kim, Sathish Indurti, Jinhwan Park, Wonyong Sung:
Macro-Block Dropout for Improved Regularization in Training End-to-End Speech Recognition Models. SLT 2022: 331-338 - [i5]Chanwoo Kim, Sathish Indurti, Jinhwan Park, Wonyong Sung:
Macro-block dropout for improved regularization in training end-to-end speech recognition models. CoRR abs/2212.14149 (2022) - 2021
- [c13]Jinhwan Park, Chanwoo Kim, Wonyong Sung:
Convolution-Based Attention Model With Positional Encoding For Streaming Speech Recognition On Embedded Devices. SLT 2021: 30-37 - 2020
- [c12]Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung:
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface. AAAI 2020: 5784-5791 - [c11]Jinhwan Park, Xue Qian, Youngmin Jo, Wonyong Sung:
Low-Latency Lightweight Streaming Speech Recognition with 8-Bit Quantized Simple Gated Convolutional Neural Networks. ICASSP 2020: 1803-1807 - [c10]Jinhwan Park, Wonyong Sung:
Effect of Adding Positional Information on Convolutional Neural Networks for End-to-End Speech Recognition. INTERSPEECH 2020: 46-50 - [i4]Wonyong Sung, Iksoo Choi, Jinhwan Park, Seokhyun Choi, Sungho Shin:
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima. CoRR abs/2009.02479 (2020)
2010 – 2019
- 2019
- [c9]Lukas Lee, Jinhwan Park, Wonyong Sung:
Simple Gated Convnet for Small Footprint Acoustic Modeling. ASRU 2019: 122-128 - [c8]Wonyong Sung, Lukas Lee, Jinhwan Park:
Exploration of On-device End-to-End Acoustic Modeling with Neural Networks. SiPS 2019: 160-165 - 2018
- [c7]Iksoo Choi, Jinhwan Park, Wonyong Sung:
Character-level Language Modeling with Gated Hierarchical Recurrent Neural Networks. INTERSPEECH 2018: 411-415 - [c6]Jinhwan Park, Iksoo Choi, Yoonho Boo, Wonyong Sung:
Hierarchical Recurrent Neural Networks for Acoustic Modeling. INTERSPEECH 2018: 3728-3732 - [c5]Jinhwan Park, Yoonho Boo, Iksoo Choi, Sungho Shin, Wonyong Sung:
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices. NeurIPS 2018: 10642-10653 - [c4]Yoonho Boo, Jinhwan Park, Lukas Lee, Wonyong Sung:
On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns. SLT 2018: 376-381 - [i3]Wonyong Sung, Jinhwan Park:
Single Stream Parallelization of Recurrent Neural Networks for Low Power and Fast Inference. CoRR abs/1803.11389 (2018) - 2016
- [c3]Jinhwan Park, Wonyong Sung:
FPGA based implementation of deep neural networks using on-chip memory only. ICASSP 2016: 1011-1015 - [c2]Wonyong Sung, Jinhwan Park:
Architecture exploration of a programmable neural network processor for embedded systems. SAMOS 2016: 124-131 - [c1]Minjae Lee, Kyuyeon Hwang, Jinhwan Park, Sungwook Choi, Sungho Shin, Wonyong Sung:
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks. SiPS 2016: 230-235 - [i2]Jinhwan Park, Wonyong Sung:
Fpga Based Implementation of Deep Neural Networks Using On-chip Memory Only. CoRR abs/1602.01616 (2016) - [i1]Minjae Lee, Kyuyeon Hwang, Jinhwan Park, Sungwook Choi, Sungho Shin, Wonyong Sung:
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks. CoRR abs/1610.00552 (2016)
Coauthor Index
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