Speech feature extraction using independent component analysis. - Jong-Hwan Lee; Ho-Young Jung; Te-Won Lee; Soo-Young Lee (ICASSP, 2000)

On the temporal decorrelation of feature parameters for noise-robust speech recognition. - Ho-Young Jung; Soo-Young Lee (IEEE Trans. Speech Audio Process., 2000)

On the Efficient Speech Feature Extraction Based on Independent Component Analysis. - Jong-Hwan Lee; Te-Won Lee; Ho-Young Jung; Soo-Young Lee (Neural Process. Lett., 2002)

Discriminative noise adaptive training approach for an environment migration. - Byung Ok Kang; Ho-Young Jung; Yunkeun Lee (INTERSPEECH, 2007)

Human-robot interface using robust speech recognition and user localization based on noise separation device. - Kiyoung Park; Sung Joo Lee; Ho-Young Jung; Yunkeun Lee (RO-MAN, 2009)

Discriminative linear-transform based adaptation using minimum verification error. - Sunghwan Shin; Ho-Young Jung; Tae-Yoon Kim; Biing-Hwang Juang (ICASSP, 2010)

Discriminative Training for direct minimization of deletion, insertion and substitution errors. - Sunghwan Shin; Ho-Young Jung; Biing-Hwang Juang (ICASSP, 2011)

Individual Error Minimization Learning Framework and its Applications to Speech Recognition and Utterance Verification. - Sunghwan Shin; Ho-Young Jung; Biing-Hwang Juang (INTERSPEECH, 2011)

Parameter Reduction For Deep Neural Network Based Acoustic Models Using Sparsity Regularized Factorization Neurons. - Hoon Chung; Euisok Chung; Jeon Gue Park; Ho-Young Jung (IJCNN, 2019)

Vocoder-free End-to-End Voice Conversion with Transformer Network. - June-Woo Kim; Ho-Young Jung; Minho Lee 001 (IJCNN, 2020)

Linguistic-Coupled Age-to-Age Voice Translation to Improve Speech Recognition Performance in Real Environments. - June-Woo Kim; Hyekyung Yoon; Ho-Young Jung (IEEE Access, 2021)

Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System. - June-Woo Kim; Hyekyung Yoon; Ho-Young Jung (Sensors, 2022)

Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance. - June-Woo Kim; Chihyeon Yoon; Miika Toikkanen; Sangmin Bae; Ho-Young Jung (CoRR, 2023)

RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification. - June-Woo Kim; Miika Toikkanen; Sangmin Bae; Minseok Kim; Ho-Young Jung (EMBC, 2024)

Stethoscope-Guided Supervised Contrastive Learning for Cross-Domain Adaptation on Respiratory Sound Classification. - June-Woo Kim; Sangmin Bae; Won-Yang Cho; Byungjo Lee; Ho-Young Jung (ICASSP, 2024)

BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification. - June-Woo Kim; Miika Toikkanen; Yera Choi; Seoung-Eun Moon; Ho-Young Jung (INTERSPEECH, 2024)

Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding. - Suyoung Kim; Jiyeon Hwang; Ho-Young Jung (NAACL-HLT, 2024)

Actions and Objects Pathways for Domain Adaptation in Video Question Answering. - Safaa Abdullahi Moallim Mohamud; Ho-Young Jung (CoRR, 2024)

Adaptive Metadata-Guided Supervised Contrastive Learning for Domain Adaptation on Respiratory Sound Classification. - June-Woo Kim; Miika Toikkanen; Amin Jalali 003; Minseok Kim; Hye-Ji Han; Hyunwoo Kim; Wonwoo Shin; Ho-Young Jung; Kyunghoon Kim (IEEE J. Biomed. Health Informatics, 2025)