Jinhwan Park

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 22

Top Topics

Embedded Devices

Speech Recognition

Top Venues

Publications

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 (2023)
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)
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)
Chanwoo Kim, Sathish Indurti, Jinhwan Park, Wonyong Sung
Macro-block dropout for improved regularization in training end-to-end speech recognition models. CoRR (2022)
Chanwoo Kim, Sathish Indurti, Jinhwan Park, Wonyong Sung
Macro-Block Dropout for Improved Regularization in Training End-to-End Speech Recognition Models. SLT (2022)
Jinhwan Park, Chanwoo Kim, Wonyong Sung
Convolution-Based Attention Model With Positional Encoding For Streaming Speech Recognition On Embedded Devices. SLT (2021)
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)
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 (2020)
Jinhwan Park, Wonyong Sung
Effect of Adding Positional Information on Convolutional Neural Networks for End-to-End Speech Recognition. INTERSPEECH (2020)
Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface. AAAI (2020)
Lukas Lee, Jinhwan Park, Wonyong Sung
Simple Gated Convnet for Small Footprint Acoustic Modeling. ASRU (2019)
Wonyong Sung, Lukas Lee, Jinhwan Park
Exploration of On-device End-to-End Acoustic Modeling with Neural Networks. SiPS (2019)
Iksoo Choi, Jinhwan Park, Wonyong Sung
Character-level Language Modeling with Gated Hierarchical Recurrent Neural Networks. INTERSPEECH (2018)
Yoonho Boo, Jinhwan Park, Lukas Lee, Wonyong Sung
On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns. SLT (2018)
Jinhwan Park, Yoonho Boo, Iksoo Choi, Sungho Shin, Wonyong Sung
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices. NeurIPS (2018)
Wonyong Sung, Jinhwan Park
Single Stream Parallelization of Recurrent Neural Networks for Low Power and Fast Inference. CoRR (2018)
Jinhwan Park, Iksoo Choi, Yoonho Boo, Wonyong Sung
Hierarchical Recurrent Neural Networks for Acoustic Modeling. INTERSPEECH (2018)
Minjae Lee, Kyuyeon Hwang, Jinhwan Park, Sungwook Choi, Sungho Shin, Wonyong Sung
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks. CoRR (2016)
Wonyong Sung, Jinhwan Park
Architecture exploration of a programmable neural network processor for embedded systems. SAMOS (2016)
Jinhwan Park, Wonyong Sung
Fpga Based Implementation of Deep Neural Networks Using On-chip Memory Only. CoRR (2016)
Jinhwan Park, Wonyong Sung
FPGA based implementation of deep neural networks using on-chip memory only. ICASSP (2016)
Minjae Lee, Kyuyeon Hwang, Jinhwan Park, Sungwook Choi, Sungho Shin, Wonyong Sung
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks. SiPS (2016)