Jinhwan Park

22 papers A* 2A 4C 1Misc 2Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2023 A conf
A More Accurate Internal Language Model Score Estimation for the Hybrid Autoregressive Transducer.
INTERSPEECH
Kyungmin Lee, Haeri Kim, Sichen Jin, Jinhwan Park, Youngho Han
2023 J jnl
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
Nagaraj Adiga, Jinhwan Park, Chintigari Shiva Kumar, Shatrughan Singh, Kyungmin Lee, Chanwoo Kim, Dhananjaya Gowda
2022 — conf
Conformer-Based on-Device Streaming Speech Recognition with KD Compression and Two-Pass Architecture.
SLT
Jinhwan Park, Sichen Jin, Junmo Park, Sungsoo Kim, Dhairya Sandhyana, Changheon Lee, Myoungji Han, Jungin Lee, Seokyeong Jung, Changwoo Han, Chanwoo Kim
2022 — conf
Macro-Block Dropout for Improved Regularization in Training End-to-End Speech Recognition Models.
SLT
Chanwoo Kim, Sathish Indurti, Jinhwan Park, Wonyong Sung
2022 J jnl
Macro-block dropout for improved regularization in training end-to-end speech recognition models.
CoRR
Chanwoo Kim, Sathish Indurti, Jinhwan Park, Wonyong Sung
2021 — conf
Convolution-Based Attention Model With Positional Encoding For Streaming Speech Recognition On Embedded Devices.
SLT
Jinhwan Park, Chanwoo Kim, Wonyong Sung
2020 A conf
Effect of Adding Positional Information on Convolutional Neural Networks for End-to-End Speech Recognition.
INTERSPEECH
Jinhwan Park, Wonyong Sung
2020 A* conf
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface.
AAAI
Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung
2020 Misc conf
Low-Latency Lightweight Streaming Speech Recognition with 8-Bit Quantized Simple Gated Convolutional Neural Networks.
ICASSP
Jinhwan Park, Xue Qian, Youngmin Jo, Wonyong Sung
2020 J jnl
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima.
CoRR
Wonyong Sung, Iksoo Choi, Jinhwan Park, Seokhyun Choi, Sungho Shin
2019 — conf
Exploration of On-device End-to-End Acoustic Modeling with Neural Networks.
SiPS
Wonyong Sung, Lukas Lee, Jinhwan Park
2019 C conf
Simple Gated Convnet for Small Footprint Acoustic Modeling.
ASRU
Lukas Lee, Jinhwan Park, Wonyong Sung
2018 A conf
Character-level Language Modeling with Gated Hierarchical Recurrent Neural Networks.
INTERSPEECH
Iksoo Choi, Jinhwan Park, Wonyong Sung
2018 A* conf
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices.
NeurIPS
Jinhwan Park, Yoonho Boo, Iksoo Choi, Sungho Shin, Wonyong Sung
2018 A conf
Hierarchical Recurrent Neural Networks for Acoustic Modeling.
INTERSPEECH
Jinhwan Park, Iksoo Choi, Yoonho Boo, Wonyong Sung
2018 — conf
On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns.
SLT
Yoonho Boo, Jinhwan Park, Lukas Lee, Wonyong Sung
2018 J jnl
Single Stream Parallelization of Recurrent Neural Networks for Low Power and Fast Inference.
CoRR
Wonyong Sung, Jinhwan Park
2016 — conf
Architecture exploration of a programmable neural network processor for embedded systems.
SAMOS
Wonyong Sung, Jinhwan Park
2016 Misc conf
FPGA based implementation of deep neural networks using on-chip memory only.
ICASSP
Jinhwan Park, Wonyong Sung
2016 — conf
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks.
SiPS
Minjae Lee, Kyuyeon Hwang, Jinhwan Park, Sungwook Choi, Sungho Shin, Wonyong Sung
2016 J jnl
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks.
CoRR
Minjae Lee, Kyuyeon Hwang, Jinhwan Park, Sungwook Choi, Sungho Shin, Wonyong Sung
2016 J jnl
Fpga Based Implementation of Deep Neural Networks Using On-chip Memory Only.
CoRR
Jinhwan Park, Wonyong Sung