Hee-Soo Heo
Hee-Soo Heo
Naver Corporation, University of Seoul
Verified email at uos.ac.kr
Title
Cited by
Cited by
Year
In defence of metric learning for speaker recognition
JS Chung, J Huh, S Mun, M Lee, HS Heo, S Choe, C Ham, S Jung, ...
INTERSPEECH, 2020
1442020
Rawnet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification
J Jung, HS Heo, J Kim, H Shim, HJ Yu
INTERSPEECH 2019, 2019
632019
A complete end-to-end speaker verification system using deep neural networks: From raw signals to verification result
JW Jung, HS Heo, IH Yang, HJ Shim, HJ Yu
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
492018
Avoiding speaker overfitting in end-to-end dnns using raw waveform for text-independent speaker verification
JW Jung, HS Heo, ILH Yang, HJ Shim, HJ Yu
INTERSPEECH 2018 8 (12), 23-24, 2018
342018
Clova baseline system for the voxceleb speaker recognition challenge 2020
HS Heo, BJ Lee, J Huh, JS Chung
arXiv preprint arXiv:2009.14153, 2020
332020
Replay attack detection with complementary high-resolution information using end-to-end DNN for the ASVspoof 2019 Challenge
J Jung, H Shim, HS Heo, HJ Yu
arXiv preprint arXiv:1904.10134, 2019
262019
Short utterance compensation in speaker verification via cosine-based teacher-student learning of speaker embeddings
J Jung, HS Heo, H Shim, HJ Yu
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
232019
End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification
HS Heo, J Jung, ILH Yang, SH Yoon, H Shim, HJ Yu
arXiv preprint arXiv:1902.02455, 2019
192019
Acoustic scene classification using teacher-student learning with soft-labels
HS Heo, J Jung, H Shim, HJ Yu
arXiv preprint arXiv:1904.10135, 2019
182019
Augmentation adversarial training for unsupervised speaker recognition
J Huh, HS Heo, J Kang, S Watanabe, JS Chung
Workshop on Self-Supervised Learning for Speech and Audio Processing, NeurIPS, 2020
162020
Joint Training of Expanded End-to-End DNN for Text-Dependent Speaker Verification.
H Heo, J Jung, IL Yang, S Yoon, H Yu
INTERSPEECH, 1532-1536, 2017
162017
DNN-based audio scene classification for DCASE 2017: dual input features, balancing cost, and stochastic data duplication
JW Jung, HS Heo, I Yang, SH Yoon, HJ Shim, HJ Yu
DCASE 2017 workshop 4 (5), 2017
142017
DNN based multi-level feature ensemble for acoustic scene classification
J Jung, H Heo, H Shim, H Yu
Proceedings of the Detection and Classification of Acoustic Scenes and …, 2018
132018
Replay spoofing detection system for automatic speaker verification using multi-task learning of noise classes
HJ Shim, JW Jung, HS Heo, SH Yoon, HJ Yu
2018 Conference on Technologies and Applications of Artificial Intelligence …, 2018
122018
Knowledge distillation in acoustic scene classification
JW Jung, HS Heo, HJ Shim, HJ Yu
IEEE Access 8, 166870-166879, 2020
102020
Distilling the knowledge of specialist deep neural networks in acoustic scene classification
J Jung, HS Heo, H Shim, HJ Yu
102019
Metric learning for keyword spotting
J Huh, M Lee, H Heo, S Mun, JS Chung
2021 IEEE Spoken Language Technology Workshop (SLT), 133-140, 2021
82021
Knowledge distillation with specialist models in acoustic scene classification
J Jung, HS Heo, H Shim, HJ Yu
Detection and Classification of Acoustic Scenes and Events 2019, 5-7, 2019
82019
D-vector based speaker verification system using Raw Waveform CNN
J Jung, H Heo, I Yang, S Yoon, H Shim, H Yu
Proceedings of the 2017 international seminar on artificial intelligence …, 2017
82017
Applying compensation techniques on i-vectors extracted from short-test utterances for speaker verification using deep neural network
ILH Yang, HS Heo, SH Yoon, HJ Yu
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
82017
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