Minje Kim - RankMe

56 papers A 2B 1Misc 13Journal 25Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gencho: Room Impulse Response Generation from Reverberant Speech and Text via Diffusion Transformers. CoRR Jackie Lin, Jiaqi Su, Nishit Anand, Zeyu Jin, Minje Kim, Paris Smaragdis
2026	J	`jnl`	Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech. CoRR Jaesung Bae, Xiuwen Zheng, Minje Kim, Chang D. Yoo, Mark Hasegawa-Johnson
2025	—	`conf`	Adaptive Slimming for Scalable and Efficient Speech Enhancement. WASPAA Riccardo Miccini, Minje Kim, Clément Laroche, Luca Pezzarossa, Paris Smaragdis
2025	J	`jnl`	Adaptive Slimming for Scalable and Efficient Speech Enhancement. CoRR Riccardo Miccini, Minje Kim, Clément Laroche, Luca Pezzarossa, Paris Smaragdis
2025	—	`conf`	Combolutional Neural Networks. WASPAA Cameron Churchwell, Minje Kim, Paris Smaragdis
2025	J	`jnl`	Combolutional Neural Networks. CoRR Cameron Churchwell, Minje Kim, Paris Smaragdis
2025	—	`conf`	Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation. ICASSP Workshops Jackie Lin, Georg Götz, Hermes Sampedro Llopis, Haukur Hafsteinsson, Steinar Guðjónsson, Daniel Gert Nielsen, Finnur Pind, Paris Smaragdis, Dinesh Manocha, John R. Hershey, Trausti T. Kristjansson, Minje Kim
2025	J	`jnl`	Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation. CoRR Jackie Lin, Georg Götz, Hermes Sampedro Llopis, Haukur Hafsteinsson, Steinar Guðjónsson, Daniel Gert Nielsen, Finnur Pind, Paris Smaragdis, Dinesh Manocha, John R. Hershey, Trausti T. Kristjansson, Minje Kim
2025	—	`conf`	Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement. ICASSP Workshops Jae-Sung Bae, Anastasia Kuznetsova, Dinesh Manocha, John R. Hershey, Trausti T. Kristjansson, Minje Kim
2025	J	`jnl`	Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement. CoRR Jae-Sung Bae, Anastasia Kuznetsova, Dinesh Manocha, John R. Hershey, Trausti T. Kristjansson, Minje Kim
2025	Misc	`conf`	Perceptual Audio Coding: A 40-Year Historical Perspective. ICASSP Jürgen Herre, Schuyler Quackenbush, Minje Kim, Jan Skoglund
2025	J	`jnl`	PromptSep: Generative Audio Separation via Multimodal Prompting. CoRR Yutong Wen, Ke Chen, Prem Seetharaman, Oriol Nieto, Jiaqi Su, Rithesh Kumar, Minje Kim, Paris Smaragdis, Zeyu Jin, Justin Salamon
2025	—	`conf`	Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine. WASPAA Anastasia Kuznetsova, Inseon Jang, Wootaek Lim, Minje Kim
2025	—	`conf`	User-Guided Generative Source Separation. ISMIR Yutong Wen, Minje Kim, Paris Smaragdis
2025	J	`jnl`	User-guided Generative Source Separation. CoRR Yutong Wen, Minje Kim, Paris Smaragdis
2024	J	`jnl`	Editorial JSTSP NSAC Editorial. IEEE J. Sel. Top. Signal Process. Jan Skoglund, Minje Kim, Xiulian Peng, Lars F. Villemoes
2024	J	`jnl`	Neural Speech and Audio Coding. CoRR Minje Kim, Jan Skoglund
2024	J	`jnl`	Neural Speech and Audio Coding: Modern AI technology meets traditional codecs [Special Issue On Model-Based and Data-Driven Audio Signal Processing]. IEEE Signal Process. Mag. Minje Kim, Jan Skoglund
2023	Misc	`conf`	Native Multi-Band Audio Coding Within Hyper-Autoencoded Reconstruction Propagation Networks. ICASSP Darius Petermann, Inseon Jang, Minje Kim
2023	Misc	`conf`	Neural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding. ICASSP Haici Yang, Wootaek Lim, Minje Kim
2023	Misc	`conf`	The Potential of Neural Speech Synthesis-Based Data Augmentation for Personalized Speech Enhancement. ICASSP Anastasia Kuznetsova, Aswin Sivaraman, Minje Kim
2022	Misc	`conf`	Bloom-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement. ICASSP Sunwoo Kim, Minje Kim
2022	J	`jnl`	Boosted Locality Sensitive Hashing: Discriminative, Efficient, and Scalable Binary Codes for Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. Sunwoo Kim, Minje Kim
2022	J	`jnl`	Efficient Personalized Speech Enhancement Through Self-Supervised Learning. IEEE J. Sel. Top. Signal Process. Aswin Sivaraman, Minje Kim
2022	J	`jnl`	Scalable and Efficient Neural Speech Coding: A Hybrid Design. IEEE ACM Trans. Audio Speech Lang. Process. Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim
2021	J	`jnl`	BLOOM-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement. CoRR Sunwoo Kim, Minje Kim
2021	A	`conf`	Personalized Speech Enhancement Through Self-Supervised Data Augmentation and Purification. Interspeech Aswin Sivaraman, Sunwoo Kim, Minje Kim
2021	J	`jnl`	Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification. CoRR Aswin Sivaraman, Sunwoo Kim, Minje Kim
2021	—	`conf`	Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation. WASPAA Sunwoo Kim, Minje Kim
2021	J	`jnl`	Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation. CoRR Sunwoo Kim, Minje Kim
2020	Misc	`conf`	Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. ICASSP Sunwoo Kim, Haici Yang, Minje Kim
2020	J	`jnl`	Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. CoRR Sunwoo Kim, Haici Yang, Minje Kim
2020	J	`jnl`	Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. IEEE Signal Process. Lett. Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim
2019	J	`jnl`	Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation. CoRR Sunwoo Kim, Mrinmoy Maity, Minje Kim
2019	Misc	`conf`	Incremental Binarization on Recurrent Neural Networks for Single-channel Source Separation. ICASSP Sunwoo Kim, Mrinmoy Maity, Minje Kim
2019	J	`jnl`	Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing. CoRR Sunwoo Kim, Minje Kim
2018	Misc	`conf`	Bitwise Neural Networks for Efficient Single-Channel Source Separation. ICASSP Minje Kim, Paris Smaragdis
2016	J	`jnl`	Bitwise Neural Networks. CoRR Minje Kim, Paris Smaragdis
2016	Misc	`conf`	Efficient neighborhood-based topic modeling for collaborative audio enhancement on massive crowdsourced recordings. ICASSP Minje Kim, Paris Smaragdis
2015	—	`conf`	Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures. LVA/ICA Minje Kim, Paris Smaragdis
2015	Misc	`conf`	Efficient manifold preserving audio source separation using locality sensitive hashing. ICASSP Minje Kim, Paris Smaragdis, Gautham J. Mysore
2015	J	`jnl`	Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. CoRR Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
2015	J	`jnl`	Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
2015	J	`jnl`	Mixtures of Local Dictionaries for Unsupervised Speech Enhancement. IEEE Signal Process. Lett. Minje Kim, Paris Smaragdis
2014	Misc	`conf`	Deep learning for monaural speech separation. ICASSP Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
2014	—	`conf`	Efficient model selection for speech enhancement using a deflation method for Nonnegative Matrix Factorization. GlobalSIP Minje Kim, Paris Smaragdis
2014	A	`conf`	Experiments on deep learning for speech denoising. INTERSPEECH Ding Liu, Paris Smaragdis, Minje Kim
2014	Misc	`conf`	Phase and level difference fusion for robust multichannel source separation. ICASSP Johannes Traa, Minje Kim, Paris Smaragdis
2014	—	`conf`	Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. ISMIR Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
2013	Misc	`conf`	Collaborative audio enhancement using probabilistic latent component sharing. ICASSP Minje Kim, Paris Smaragdis
2013	B	`conf`	EMERALD: Characterization of emerging applications and algorithms for low-power devices. ISPASS Chuanjun Zhang, Glenn G. Ko, Jungwook Choi, Shang-nien Tsai, Minje Kim, Abner Guzmán-Rivera, Rob A. Rutenbar, Paris Smaragdis, Mi Sun Park, Vijaykrishnan Narayanan, Hongyi Xin, Onur Mutlu, Bin Li, Li Zhao, Mei Chen
2013	—	`conf`	Manifold Preserving Hierarchical Topic Models for Quantization and Approximation. ICML (3) Minje Kim, Paris Smaragdis
2013	—	`conf`	Non-negative matrix factorization for irregularly-spaced transforms. WASPAA Paris Smaragdis, Minje Kim
2013	—	`conf`	Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields. MLSP Minje Kim, Paris Smaragdis
2012	—	`conf`	Stereophonic spectrogram segmentation using Markov random fields. MLSP Minje Kim, Paris Smaragdis, Glenn G. Ko, Rob A. Rutenbar
2006	—	`conf`	ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation. ICPR (1) Minje Kim, Seungjin Choi