Suyoun Kim
Suyoun Kim
Electrical and Computer Engineering, Carnegie Mellon University
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Joint CTC-attention based end-to-end speech recognition using multi-task learning
S Kim, T Hori, S Watanabe
2017 IEEE international conference on acoustics, speech and signal …, 2017
Hybrid CTC/attention architecture for end-to-end speech recognition
S Watanabe, T Hori, S Kim, JR Hershey, T Hayashi
IEEE Journal of Selected Topics in Signal Processing 11 (8), 1240-1253, 2017
Multi-Channel Speech Recognition: LSTMs All the Way Through
H Erdogan, T Hayashi, JR Hershey, T Hori, C Hori, WN Hsu, S Kim, ...
CHiME-4 workshop, 2016
Towards Language-Universal End-to-End Speech Recognition
S Kim, ML Seltzer
Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International …, 2018
Environmental noise embeddings for robust speech recognition
S Kim, B Raj, I Lane
arXiv preprint arXiv:1601.02553, 2016
Recurrent models for auditory attention in multi-microphone distance speech recognition
S Kim, I Lane
Proc. Interspeech 2016, 3838-3842, 2016
Impact of nano-scale through-silicon vias on the quality of today and future 3D IC designs
DH Kim, S Kim, SK Lim
International Workshop on System Level Interconnect Prediction, 1-8, 2011
Multimodal transfer deep learning with applications in audio-visual recognition
S Moon, S Kim, H Wang
NIPS MMML workshop, 2015
Improved training for online end-to-end speech recognition systems
S Kim, ML Seltzer, J Li, R Zhao
Proc. Interspeech 2018, 2018
End-to-End Speech Recognition with Auditory Attention for Multi-Microphone Distance Speech Recognition
S Kim, I Lane
Proc. Interspeech 2017, 3867-3871, 2017
Dialog-context aware end-to-end speech recognition
S Kim, F Metze
IEEE Spoken Language Technology Workshop (SLT), 2018
Situation Informed End-to-End ASR for CHiME-5 Challenge
S Kim, S Dalmia, F Metze
CHiME-5 workshop, 2018
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion
S Kim, S Dalmia, F Metze
ACL, 2019
Cross-attention end-to-end asr for two-party conversations
S Kim, S Dalmia, F Metze
arXiv preprint arXiv:1907.10726, 2019
Acoustic-to-Word Models with Conversational Context Information
S Kim, F Metze
NAACL, 2019
A Study on the Impact of Nano-Scale TSVs on 3D IC Designs
DH Kim, S Kim, SK Lim
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