Takip et
Jinhwan Park
Jinhwan Park
Samsung Research
samsung.com üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
FPGA-based low-power speech recognition with recurrent neural networks
M Lee, K Hwang, J Park, S Choi, S Shin, W Sung
2016 IEEE International Workshop on Signal Processing Systems (SiPS), 230-235, 2016
982016
FPGA based implementation of deep neural networks using on-chip memory only
J Park, W Sung
2016 IEEE International conference on acoustics, speech and signal …, 2016
852016
Fully neural network based speech recognition on mobile and embedded devices
J Park, Y Boo, I Choi, S Shin, W Sung
Advances in neural information processing systems 31, 2018
482018
Simple gated convnet for small footprint acoustic modeling
L Lee, J Park, W Sung
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
72019
Hlhlp: Quantized neural networks training for reaching flat minima in loss surface
S Shin, J Park, Y Boo, W Sung
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5784-5791, 2020
62020
Conformer-based on-device streaming speech recognition with KD compression and two-pass architecture
J Park, S Jin, J Park, S Kim, D Sandhyana, C Lee, M Han, J Lee, S Jung, ...
2022 IEEE Spoken Language Technology Workshop (SLT), 92-99, 2023
52023
Convolution-based attention model with positional encoding for streaming speech recognition on embedded devices
J Park, C Kim, W Sung
2021 IEEE Spoken Language Technology Workshop (SLT), 30-37, 2021
52021
Single stream parallelization of recurrent neural networks for low power and fast inference
W Sung, J Park
arXiv preprint arXiv:1803.11389, 2018
52018
S-sgd: Symmetrical stochastic gradient descent with weight noise injection for reaching flat minima
W Sung, I Choi, J Park, S Choi, S Shin
arXiv preprint arXiv:2009.02479, 2020
42020
Character-level Language Modeling with Gated Hierarchical Recurrent Neural Networks.
I Choi, J Park, W Sung
INTERSPEECH, 411-415, 2018
42018
Low-latency lightweight streaming speech recognition with 8-bit quantized simple gated convolutional neural networks
J Park, X Qian, Y Jo, W Sung
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
32020
Exploration of on-device end-to-end acoustic modeling with neural networks
W Sung, L Lee, J Park
2019 IEEE International Workshop on Signal Processing Systems (SiPS), 160-165, 2019
12019
Hierarchical Recurrent Neural Networks for Acoustic Modeling.
J Park, I Choi, Y Boo, W Sung
INTERSPEECH, 3728-3732, 2018
12018
Architecture exploration of a programmable neural network processor for embedded systems
W Sung, J Park
2016 International Conference on Embedded Computer Systems: Architectures …, 2016
12016
On the compression of shallow non-causal ASR models using knowledge distillation and tied-and-reduced decoder for low-latency on-device speech recognition
N Adiga, J Park, CS Kumar, S Singh, K Lee, C Kim, D Gowda
arXiv preprint arXiv:2312.09842, 2023
2023
A More Accurate Internal Language Model Score Estimation for the Hybrid Autoregressive Transducer
K Lee, H Kim, S Jin, J Park, Y Han
INTERSPEECH, 869-873, 2023
2023
Electronic apparatus for speech recognition, and controlling method thereof
P Jinhwan, S Kim, JIN Sichen, J Park, D Sandhyana, HAN Changwoo
US Patent App. 17/968,517, 2023
2023
Macro-block dropout for improved regularization in training end-to-end speech recognition models
C Kim, S Indurti, J Park, W Sung
2022 IEEE Spoken Language Technology Workshop (SLT), 331-338, 2023
2023
Effect of Adding Positional Information on Convolutional Neural Networks for End-to-End Speech Recognition.
J Park, W Sung
INTERSPEECH, 46-50, 2020
2020
On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns
Y Boo, J Park, L Lee, W Sung
2018 IEEE Spoken Language Technology Workshop (SLT), 376-381, 2018
2018
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