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Ho-Young Jung
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2020 – today
- 2024
- [c10]June-Woo Kim, Sangmin Bae, Won-Yang Cho, Byungjo Lee, Ho-Young Jung:
Stethoscope-Guided Supervised Contrastive Learning for Cross-Domain Adaptation on Respiratory Sound Classification. ICASSP 2024: 1431-1435 - [c9]Suyoung Kim, Jiyeon Hwang, Ho-Young Jung:
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding. NAACL-HLT 2024: 5698-5711 - [i6]June-Woo Kim, Miika Toikkanen, Sangmin Bae, Minseok Kim, Ho-Young Jung:
RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification. CoRR abs/2405.02996 (2024) - [i5]Suyoung Kim, Jiyeon Hwang, Ho-Young Jung:
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding. CoRR abs/2405.15097 (2024) - [i4]June-Woo Kim, Miika Toikkanen, Yera Choi, Seoung-Eun Moon, Ho-Young Jung:
BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification. CoRR abs/2406.06786 (2024) - 2023
- [i3]June-Woo Kim, Chihyeon Yoon, Miika Toikkanen, Sangmin Bae, Ho-Young Jung:
Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance. CoRR abs/2311.06480 (2023) - [i2]June-Woo Kim, Sangmin Bae, Won-Yang Cho, Byungjo Lee, Ho-Young Jung:
Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification. CoRR abs/2312.09603 (2023) - 2022
- [j4]June-Woo Kim, Hyekyung Yoon, Ho-Young Jung:
Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System. Sensors 22(4): 1509 (2022) - 2021
- [j3]June-Woo Kim, Hyekyung Yoon, Ho-Young Jung:
Linguistic-Coupled Age-to-Age Voice Translation to Improve Speech Recognition Performance in Real Environments. IEEE Access 9: 136476-136486 (2021) - 2020
- [c8]June-Woo Kim, Ho-Young Jung, Minho Lee:
Vocoder-free End-to-End Voice Conversion with Transformer Network. IJCNN 2020: 1-8 - [i1]June-Woo Kim, Ho-Young Jung, Minho Lee:
Vocoder-free End-to-End Voice Conversion with Transformer Network. CoRR abs/2002.03808 (2020)
2010 – 2019
- 2019
- [c7]Hoon Chung, Euisok Chung, Jeon Gue Park, Ho-Young Jung:
Parameter Reduction For Deep Neural Network Based Acoustic Models Using Sparsity Regularized Factorization Neurons. IJCNN 2019: 1-5 - 2011
- [c6]Sunghwan Shin, Ho-Young Jung, Biing-Hwang Juang:
Discriminative Training for direct minimization of deletion, insertion and substitution errors. ICASSP 2011: 5328-5331 - [c5]Sunghwan Shin, Ho-Young Jung, Biing-Hwang Juang:
Individual Error Minimization Learning Framework and its Applications to Speech Recognition and Utterance Verification. INTERSPEECH 2011: 1713-1716 - 2010
- [c4]Sunghwan Shin, Ho-Young Jung, Tae-Yoon Kim, Biing-Hwang Juang:
Discriminative linear-transform based adaptation using minimum verification error. ICASSP 2010: 4318-4321
2000 – 2009
- 2009
- [c3]Kiyoung Park, Sung Joo Lee, Ho-Young Jung, Yunkeun Lee:
Human-robot interface using robust speech recognition and user localization based on noise separation device. RO-MAN 2009: 328-333 - 2007
- [c2]Byung Ok Kang, Ho-Young Jung, Yunkeun Lee:
Discriminative noise adaptive training approach for an environment migration. INTERSPEECH 2007: 2085-2088 - 2002
- [j2]Jong-Hwan Lee, Te-Won Lee, Ho-Young Jung, Soo-Young Lee:
On the Efficient Speech Feature Extraction Based on Independent Component Analysis. Neural Process. Lett. 15(3): 235-245 (2002) - 2000
- [j1]Ho-Young Jung, Soo-Young Lee:
On the temporal decorrelation of feature parameters for noise-robust speech recognition. IEEE Trans. Speech Audio Process. 8(4): 407-416 (2000) - [c1]Jong-Hwan Lee, Ho-Young Jung, Te-Won Lee, Soo-Young Lee:
Speech feature extraction using independent component analysis. ICASSP 2000: 1631-1634
Coauthor Index
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last updated on 2024-08-30 21:39 CEST by the dblp team
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