Minje Kim

Minje Kim

Indiana University Bloomington

H-index: 22

North America-United States

About Minje Kim

Minje Kim, With an exceptional h-index of 22 and a recent h-index of 18 (since 2020), a distinguished researcher at Indiana University Bloomington, specializes in the field of Efficiency in Machine Learning, Speech and Music Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Zero-shot test time adaptation via knowledge distillation for personalized speech denoising and dereverberation

Scalable and efficient speech enhancement using modified cold diffusion: A residual learning approach

Speech coding method and apparatus for performing the same

Hyperbolic Distance-Based Speech Separation

Generative De-Quantization for Neural Speech Codec via Latent Diffusion

Lpc residual signal encoding/decoding apparatus of modified discrete cosine transform (mdct)-based unified voice/audio encoding device

Personalized Neural Speech Codec

Unified speech/audio codec (USAC) processing windows sequence based mode switching

Minje Kim Information

University

Position

Assistant Professor at

Citations(all)

3154

Citations(since 2020)

1987

Cited By

2011

hIndex(all)

22

hIndex(since 2020)

18

i10Index(all)

50

i10Index(since 2020)

35

Email

University Profile Page

Indiana University Bloomington

Google Scholar

View Google Scholar Profile

Minje Kim Skills & Research Interests

Efficiency in Machine Learning

Speech and Music Signal Processing

Top articles of Minje Kim

Title

Journal

Author(s)

Publication Date

Zero-shot test time adaptation via knowledge distillation for personalized speech denoising and dereverberation

The Journal of the Acoustical Society of America

Sunwoo Kim

Mrudula Athi

Guangji Shi

Minje Kim

Trausti Kristjansson

2024/2/1

Scalable and efficient speech enhancement using modified cold diffusion: A residual learning approach

Minje Kim

Trausti Kristjansson

2024/4

Speech coding method and apparatus for performing the same

2024/1/11

Hyperbolic Distance-Based Speech Separation

arXiv preprint arXiv:2401.03567

Darius Petermann

Minje Kim

2024/1/7

Generative De-Quantization for Neural Speech Codec via Latent Diffusion

Haici Yang

Inseon Jang

Minje Kim

2024/4

Lpc residual signal encoding/decoding apparatus of modified discrete cosine transform (mdct)-based unified voice/audio encoding device

2022/8/30

Personalized Neural Speech Codec

Inseon Jang

Haici Yang

Wootaek Lim

Seungkwon Beack

Minje Kim

2024/4/14

Unified speech/audio codec (USAC) processing windows sequence based mode switching

2022/8/30

Apparatus for encoding and decoding of integrated speech and audio

2023/7/18

Recurrent multimodal attention system based on expert gated networks

2023/6/27

Native Multi-Band Audio Coding Within Hyper-Autoencoded Reconstruction Propagation Networks

Darius Petermann

Inseon Jang

Minje Kim

2023/6/4

Apparatus and method for speech processing using a densely connected hybrid neural network

2023/12/5

The Potential of Neural Speech Synthesis-Based Data Augmentation for Personalized Speech Enhancement

Anastasia Kuznetsova

Aswin Sivaraman

Minje Kim

2023/6/4

Audio signal encoding and decoding method, and encoder and decoder performing the methods

2023/11/21

Neural feature predictor and discriminative residual coding for low-bitrate speech coding

Haici Yang

Wootaek Lim

Minje Kim

2023/6/4

Method and apparatus for processing audio signal

2023/10/17

Methods of encoding and decoding speech signal using neural network model recognizing sound sources, and encoding and decoding apparatuses for performing the same

2023/5/30

Audio enhancement through supervised latent variable representation of target speech and noise

2023/9/19

Stochastic gradient descent‐based support vector machines training optimization on Big Data and HPC frameworks

Concurrency and Computation: Practice and Experience

Vibhatha Abeykoon

Geoffrey Fox

Minje Kim

Saliya Ekanayake

Supun Kamburugamuve

...

2022/4/10

Residual coding method of linear prediction coding coefficient based on collaborative quantization, and computing device for performing the method

2022/11/1

See List of Professors in Minje Kim University(Indiana University Bloomington)

Co-Authors

H-index: 64
James A Glazier

James A Glazier

Indiana University Bloomington

H-index: 54
Seungjin Choi

Seungjin Choi

Pohang University of Science and Technology

H-index: 50
Paris Smaragdis

Paris Smaragdis

University of Illinois at Urbana-Champaign

H-index: 49
Mark Hasegawa-Johnson

Mark Hasegawa-Johnson

University of Illinois at Urbana-Champaign

H-index: 28
Lei Jiang

Lei Jiang

Indiana University Bloomington

H-index: 20
Lantao Liu

Lantao Liu

Indiana University Bloomington

academic-engine