Speech enhancement: new approaches to soft decision. - Joon-Hyuk Chang; Nam Soo Kim (INTERSPEECH, 2000)

Spectral enhancement based on global soft decision. - Nam Soo Kim; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2000)

Generalized analysis-by-synthesis based on system identification. - Nam Soo Kim; Joon-Hyuk Chang (ICASSP, 2002)

A preprocessor for low-bit-rate speech coding. - Nam Soo Kim; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2002)

Likelihood ratio test with complex laplacian model for voice activity detection. - Joon-Hyuk Chang; Jong Won Shin; Nam Soo Kim (INTERSPEECH, 2003)

Inner product based-multiband vector quantization for wideband speech coding at 16 kbps. - Seung Yeol Lee; Nam Soo Kim; Joon-Hyuk Chang (INTERSPEECH, 2004)

Speech probability distribution based on generalized gama distribution. - Jong Won Shin; Joon-Hyuk Chang; Nam Soo Kim (INTERSPEECH, 2004)

Distorted Speech Rejection for Automatic Speech Recognition in Wireless Communication. - Joon-Hyuk Chang; Nam Soo Kim (IEICE Trans. Inf. Syst., 2004)

A Statistical Model-Based V/UV Decision under Background Noise Environments. - Joon-Hyuk Chang; Nam Soo Kim; Sanjit K. Mitra (IEICE Trans. Inf. Syst., 2004)

Signal modification for robust speech coding. - Nam Soo Kim; Joon-Hyuk Chang (IEEE Trans. Speech Audio Process., 2004)

Voice Activity Detection based on Generalized Gamma Distribution. - Jong Won Shin; Joon-Hyuk Chang; Hwan Sik Yun; Nam Soo Kim (ICASSP (1), 2005)

A new structural preprocessor for low-bit rate speech coding. - Joon-Hyuk Chang; Jong Won Shin; Seung Yeol Lee; Nam Soo Kim (INTERSPEECH, 2005)

Multiband Vector Quantization Based on Inner Product for Wideband Speech Coding. - Joon-Hyuk Chang; Sanjit K. Mitra (IEICE Trans. Inf. Syst., 2005)

Pitch estimation of speech signal based on adaptive lattice notch filter. - Joon-Hyuk Chang; Nam Soo Kim; Sanjit K. Mitra (Signal Process., 2005)

Image probability distribution based on generalized gamma function. - Joon-Hyuk Chang; Jong Won Shin; Nam Soo Kim; Sanjit K. Mitra (IEEE Signal Process. Lett., 2005)

Statistical modeling of speech signals based on generalized gamma distribution. - Jong Won Shin; Joon-Hyuk Chang; Nam Soo Kim (IEEE Signal Process. Lett., 2005)

Warped discrete cosine transform-based noisy speech enhancement. - Joon-Hyuk Chang (IEEE Trans. Circuits Syst. II Express Briefs, 2005)

Signal modification incorporating perceptual weighting filter. - Joon-Hyuk Chang; Woohyung Lim; Nam Soo Kim (INTERSPEECH, 2006)

Perceptual weighting filter for robust speech modification. - Joon-Hyuk Chang (Signal Process., 2006)

A new structural approach in system identification with generalized analysis-by-synthesis for robust speech coding. - Joon-Hyuk Chang; Nam Soo Kim (IEEE Trans. Speech Audio Process., 2006)

Voice activity detection based on multiple statistical models. - Joon-Hyuk Chang; Nam Soo Kim; Sanjit K. Mitra (IEEE Trans. Signal Process., 2006)

A uniformly most powerful test for statistical model-based voice activity detection. - Keun Won Jang; Dong Kook Kim; Joon-Hyuk Chang (INTERSPEECH, 2007)

Voice activity detection based on support vector machine using effective feature vectors. - Q-Haing Jo; Yun-Sik Park; Kye-Hwan Lee; Ji-Hyun Song; Joon-Hyuk Chang (INTERSPEECH, 2007)

Complex laplacian probability density function for noisy speech enhancement. - Joon-Hyuk Chang (IEICE Electron. Express, 2007)

Residual echo reduction based on MMSE estimator in acoustic echo canceller. - Joon-Hyuk Chang; Hyoung-Gon Kim; Sangki Kang (IEICE Electron. Express, 2007)

Improved Global Soft Decision Using Smoothed Global Likelihood Ratio for Speech Enhancement. - Joon-Hyuk Chang; Dong Seok Jeong; Nam Soo Kim; Sangki Kang (IEICE Trans. Commun., 2007)

A Novel Approach to a Robust a Priori SNR Estimator in Speech Enhancement. - Yun-Sik Park; Joon-Hyuk Chang (IEICE Trans. Commun., 2007)

Speech Enhancement Based on Perceptually Comfortable Residual Noise. - Jong Won Shin; Joon-Hyuk Chang; Nam Soo Kim (IEICE Trans. Commun., 2007)

Multiple statistical models for soft decision in noisy speech enhancement. - Joon-Hyuk Chang; Saeed Gazor; Nam Soo Kim; Sanjit K. Mitra (Pattern Recognit., 2007)

Voice activity detection based on a family of parametric distributions. - Jong Won Shin; Joon-Hyuk Chang; Nam Soo Kim (Pattern Recognit. Lett., 2007)

A New Statistical Voice Activity Detection Based on UMP Test. - Dong Kook Kim; Keun Won Jang; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2007)

A statistical model-based voice activity detection employing minimum classification error technique. - Sang-Ick Kang; Ji-Hyun Song; Kye-Hwan Lee; Yun-Sik Park; Joon-Hyuk Chang (INTERSPEECH, 2008)

Group delay function for improved gender identification. - Kye-Hwan Lee; Sang-Ick Kang; Ji-Hyun Song; Joon-Hyuk Chang (INTERSPEECH, 2008)

A Support Vector Machine-Based Voice Activity Detection Employing Effective Feature Vectors. - Q-Haing Jo; Yun-Sik Park; Kye-Hwan Lee; Joon-Hyuk Chang (IEICE Trans. Commun., 2008)

Frame Splitting Scheme for Error-Robust Audio Streaming over Packet-Switching Networks. - Jong Kyu Kim; Jung Su Kim; Hwan Sik Yun; Joon-Hyuk Chang; Nam Soo Kim (IEICE Trans. Commun., 2008)

A Support Vector Machine-Based Gender Identification Using Speech Signal. - Kye-Hwan Lee; Sang-Ick Kang; Deok-Hwan Kim; Joon-Hyuk Chang (IEICE Trans. Commun., 2008)

Discriminative Weight Training for a Statistical Model-Based Voice Activity Detection. - Sang-Ick Kang; Q-Haing Jo; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2008)

A Probabilistic Combination Method of Minimum Statistics and Soft Decision for Robust Noise Power Estimation in Speech Enhancement. - Yun-Sik Park; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2008)

Analysis and Improvement of Speech/Music Classification for 3GPP2 SMV Based on GMM. - Ji-Hyun Song; Kye-Hwan Lee; Joon-Hyuk Chang; Jong Kyu Kim; Nam Soo Kim (IEEE Signal Process. Lett., 2008)

Speech enhancement based on minima controlled recursive averaging incorporating conditional maximum a posteriori criterion. - Jong-Mo Kum; Yun-Sik Park; Joon-Hyuk Chang (ICASSP, 2009)

Enhanced minimum statistics technique incorporating soft decision for noise suppression. - Yun-Sik Park; Ji-Hyun Song; Jae-Hun Choi; Joon-Hyuk Chang (INTERSPEECH, 2009)

Soft decision-based acoustic echo suppression in a frequency domain. - Yun-Sik Park; Ji-Hyun Song; Jae-Hun Choi; Joon-Hyuk Chang (INTERSPEECH, 2009)

Discriminative weight training-based optimally weighted MFCC for gender identification. - Sang-Ick Kang; Joon-Hyuk Chang (IEICE Electron. Express, 2009)

Speech Reinforcement Based on Soft Decision under Far-End Noise Environments. - Jae-Hun Choi; Woo-Sang Park; Joon-Hyuk Chang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Speech/Music Classification Enhancement for 3GPP2 SMV Codec Based on Support Vector Machine. - Sang-Kyun Kim; Joon-Hyuk Chang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Acoustic Environment Classification Based on SMV Speech Codec Parameters for Context-Aware Mobile Phone. - Kye-Hwan Lee; Joon-Hyuk Chang (IEICE Trans. Inf. Syst., 2009)

Efficient Implementation of Voiced/Unvoiced Sounds Classification Based on GMM for SMV Codec. - Ji-Hyun Song; Joon-Hyuk Chang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Global Soft Decision Employing Support Vector Machine For Speech Enhancement. - Joon-Hyuk Chang; Q-Haing Jo; Dong Kook Kim; Nam Soo Kim (IEEE Signal Process. Lett., 2009)

Speech Enhancement Based on Minima Controlled Recursive Averaging Incorporating Second-Order Conditional MAP Criterion. - Jong-Mo Kum; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2009)

Frequency Domain Acoustic Echo Suppression Based on Soft Decision. - Yun-Sik Park; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2009)

A statistical model-based double-talk detection incorporating soft decision. - Yun-Sik Park; Ji-Hyun Song; Sang-Ick Kang; Woojung Lee; Joon-Hyuk Chang (ICASSP, 2010)

Toward detecting voice activity employing soft decision in second-order conditional MAP. - Sang-Kyun Kim; Jae-Hun Choi; Sang-Ick Kang; Ji-Hyun Song; Joon-Hyuk Chang (INTERSPEECH, 2010)

On using Gaussian mixture model for double-talk detection in acoustic echo suppression. - Ji-Hyun Song; Kyu-Ho Lee; Yun-Sik Park; Sang-Ick Kang; Joon-Hyuk Chang (INTERSPEECH, 2010)

Voice activity detection based on statistical models and machine learning approaches. - Jong Won Shin; Joon-Hyuk Chang; Nam Soo Kim (Comput. Speech Lang., 2010)

Voice Activity Detection Based on Discriminative Weight Training Incorporating a Spectral Flatness Measure. - Sang-Ick Kang; Joon-Hyuk Chang (Circuits Syst. Signal Process., 2010)

Improved minima controlled recursive averaging technique using conditional maximum a posteriori criterion for speech enhancement. - Jong-Mo Kum; Yun-Sik Park; Joon-Hyuk Chang (Digit. Signal Process., 2010)

Efficient Speech Reinforcement Based on Low-Bit-Rate Speech Coding Parameters. - Jae-Hun Choi; Joon-Hyuk Chang; Seong-Ro Lee (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Discriminative Weight Training for Support Vector Machine-Based Speech/Music Classification in 3GPP2 SMV Codec. - Sang-Kyun Kim; Joon-Hyuk Chang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Improved Global Soft Decision Incorporating Second-Order Conditional MAP in Speech Enhancement. - Jong-Mo Kum; Joon-Hyuk Chang (IEICE Trans. Inf. Syst., 2010)

Double-talk detection based on soft decision for acoustic echo suppression. - Yun-Sik Park; Joon-Hyuk Chang (Signal Process., 2010)

Frequency-Domain Double-Talk Detection Based on the Gaussian Mixture Model. - Kyu-Ho Lee; Joon-Hyuk Chang; Nam Soo Kim; Sangki Kang; Yongserk Kim (IEEE Signal Process. Lett., 2010)

A Soft Decision-Based Speech Enhancement Using Acoustic Noise Classification. - Jae-Hun Choi; Sang-Kyun Kim; Joon-Hyuk Chang (INTERSPEECH, 2011)

Speech Enhancement Based on Adaptive Noise Power Estimation Using Spectral Difference. - Jae-Hun Choi; Joon-Hyuk Chang; Dong Kook Kim; Suhyun Kim 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Speech Enhancement Based on Data-Driven Residual Gain Estimation. - Yu Gwang Jin; Nam Soo Kim; Joon-Hyuk Chang (IEICE Trans. Inf. Syst., 2011)

Minima-controlled speech presence uncertainty tracking method for speech enhancement. - Woojung Lee; Ji-Hyun Song; Joon-Hyuk Chang (Signal Process., 2011)

Adaptive noise power estimation using spectral difference for robust speech enhancement. - Jae-Hun Choi; Sang-Kyun Kim; Joon-Hyuk Chang (ICASSP, 2012)

New techniques for improving the practicality of an SVM-based speech/music classifier. - Chungsoo Lim; Seong-Ro Lee; Yeonwoo Lee; Joon-Hyuk Chang (ICASSP, 2012)

On using spectral gradient in conditional MAP criterion for robust voice activity detection. - Jae-Hun Choi; Joon-Hyuk Chang (IC-NIDC, 2012)

Integrated acoustic echo and background noise suppression technique based on soft decision. - Yun-Sik Park; Joon-Hyuk Chang (EURASIP J. Adv. Signal Process., 2012)

A Statistical Model-Based Speech Enhancement Using Acoustic Noise Classification for Robust Speech Communication. - Jae-Hun Choi; Joon-Hyuk Chang (IEICE Trans. Commun., 2012)

Improvement of SVM-Based Speech/Music Classification Using Adaptive Kernel Technique. - Chungsoo Lim; Joon-Hyuk Chang (IEICE Trans. Inf. Syst., 2012)

Enhancing support vector machine-based speech/music classification using conditional maximum a posteriori criterion. - Chungsoo Lim; Joon-Hyuk Chang (IET Signal Process., 2012)

Voice activity detection based on conditional MAP criterion incorporating the spectral gradient. - Sang-Kyun Kim; Joon-Hyuk Chang (Signal Process., 2012)

On using acoustic environment classification for statistical model-based speech enhancement. - Jae-Hun Choi; Joon-Hyuk Chang (Speech Commun., 2012)

Efficient implementation of an SVM-based speech/music classifier by enhancing temporal locality in support vector references. - Chungsoo Lim; Seong-Ro Lee; Joon-Hyuk Chang (IEEE Trans. Consumer Electron., 2012)

Enhanced muting method in packet loss concealment of ITU-t g.722 employing optimized sigmoid function. - Bong-Ki Lee; Chungsoo Lim; Jihwan Park; Joon-Hyuk Chang (INTERSPEECH, 2013)

Noisy speech enhancement based on improved minimum statistics incorporating acoustic environment-awareness. - Joon-Hyuk Chang (Digit. Signal Process., 2013)

Online Sparse Volterra System Identification Using Projections onto Weighted l1 Balls. - Tae-Ho Jung; Jung Hee Kim; Joon-Hyuk Chang; Sang Won Nam (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Improved Speech-Presence Uncertainty Estimation Based on Spectral Gradient for Global Soft Decision-Based Speech Enhancement. - Jong-Woong Kim; Joon-Hyuk Chang; Sang Won Nam; Dong Kook Kim; Jong Won Shin (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Oscillometric Blood Pressure Estimation Based on Maximum Amplitude Algorithm Employing Gaussian Mixture Regression. - Soojeong Lee; Joon-Hyuk Chang; Sang Won Nam; Chungsoo Lim; Sreeraman Rajan; Hilmi R. Dajani; Voicu Z. Groza (IEEE Trans. Instrum. Meas., 2013)

Voice Activity Detection Based on Statistical Model Employing Deep Neural Network. - Inyoung Hwang; Joon-Hyuk Chang (IIH-MSP, 2014)

Enhanced muting method in packet loss concealment of ITU-t g.722 using sigmoid function with on-line optimized parameters. - Bong-Ki Lee; Inyoung Hwang; Jihwan Park; Joon-Hyuk Chang (INTERSPEECH, 2014)

A new a priori SNR estimator based on multiple linear regression technique for speech enhancement. - Soojeong Lee; Chungsoo Lim; Joon-Hyuk Chang (Digit. Signal Process., 2014)

Shrinkage estimation-based source localization with minimum mean squared error criterion and minimum bias criterion. - Chee-Hyun Park; Joon-Hyuk Chang (Digit. Signal Process., 2014)

Efficient Implementation of Statistical Model-Based Voice Activity Detection Using Taylor Series Approximation. - Chungsoo Lim; Soojeong Lee; Jae-Hun Choi; Joon-Hyuk Chang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Biased SNR estimation using pilot and data symbols in BPSK and QPSK systems. - Chee-Hyun Park; Kwang-Seok Hong; Sang Won Nam; Joon-Hyuk Chang (J. Commun. Networks, 2014)

A new television audience measurement framework using smart devices. - Chungsoo Lim; Jae-Hoon Choi; Sang Won Nam; Joon-Hyuk Chang (Multim. Tools Appl., 2014)

Frequency-Domain Volterra Filter Based on Data-Driven Soft Decision for Nonlinear Acoustic Echo Suppression. - Jihwan Park; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2014)

Dual-Microphone Voice Activity Detection Technique Based on Two-Step Power Level Difference Ratio. - Jae-Hun Choi; Joon-Hyuk Chang (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

A statistical model-based voice activity detection using multiple DNNs and noise awareness. - Inyoung Hwang; Jaeseong Sim; Sang-Hyeon Kim; Kwang-Sub Song; Joon-Hyuk Chang (INTERSPEECH, 2015)

Estimated confidence interval from single blood pressure measurement based on algorithmic fusion. - Soojeong Lee; Sreeraman Rajan; Chee-Hyun Park; Joon-Hyuk Chang; Hilmi R. Dajani; Voicu Z. Groza (Comput. Biol. Medicine, 2015)

Shrinkage-based biased signal-to-noise ratio estimator using pilot and data symbols for linearly modulated signals. - Chee-Hyun Park; Soojeong Lee; Joon-Hyuk Chang (IET Commun., 2015)

Efficient implementation techniques of an SVM-based speech/music classifier in SMV. - Chungsoo Lim; Joon-Hyuk Chang (Multim. Tools Appl., 2015)

Robust closed-form time-of-arrival source localization based on α-trimmed mean and Hodges-Lehmann estimator under NLOS environments. - Chee-Hyun Park; Soojeong Lee; Joon-Hyuk Chang (Signal Process., 2015)

Dual-microphone voice activity detection based on using optimally weighted maximum a posteriori probabilities. - Seng Hyun Huang; Jihwan Park; Joon-Hyuk Chang (ICASSP, 2016)

An experimental study: The sufficient respiration rate detection technique via continuous wave Doppler radar. - Ku-young Chung; Bong-Ki Lee; Kwang-Sub Song; Kangsoo Shin; Seok Hyun Cho; Joon-Hyuk Chang (IC-NIDC, 2016)

Blind estimation of reverberation time using deep neural network. - Myungin Lee; Joon-Hyuk Chang (IC-NIDC, 2016)

Ensemble of Jointly Trained Deep Neural Network-Based Acoustic Models for Reverberant Speech Recognition. - Jee-Hye Lee; Myungin Lee; Joon-Hyuk Chang (CoRR, 2016)

Ensemble of deep neural networks using acoustic environment classification for statistical model-based voice activity detection. - Inyoung Hwang; Hyung-Min Park; Joon-Hyuk Chang (Comput. Speech Lang., 2016)

Novel adaptive muting technique for packet loss concealment of ITU-T G.722 using optimized parametric shaping functions. - Bong-Ki Lee; Joon-Hyuk Chang (EURASIP J. Audio Speech Music. Process., 2016)

Robust time-of-arrival source localization employing error covariance of sample mean and sample median in line-of-sight/non-line-of-sight mixture environments. - Chee-Hyun Park; Joon-Hyuk Chang (EURASIP J. Adv. Signal Process., 2016)

Closed-form two-step weighted-least-squares-based time-of-arrival source localisation using invariance property of maximum likelihood estimator in multiple-sample environment. - Chee-Hyun Park; Joon-Hyuk Chang (IET Commun., 2016)

Time-of-arrival source localization based on weighted least squares estimator in line-of-sight/non-line-of-sight mixture environments. - Chee-Hyun Park; Joon-Hyuk Chang (Int. J. Distributed Sens. Networks, 2016)

On using multivariate polynomial regression model with spectral difference for statistical model-based speech enhancement. - Soojeong Lee; Joon-Hyuk Chang (J. Syst. Archit., 2016)

Packet Loss Concealment Based on Deep Neural Networks for Digital Speech Transmission. - Bong-Ki Lee; Joon-Hyuk Chang (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Improved Gaussian Mixture Regression Based on Pseudo Feature Generation Using Bootstrap in Blood Pressure Estimation. - Soojeong Lee; Chee-Hyun Park; Joon-Hyuk Chang (IEEE Trans. Ind. Informatics, 2016)

Closed-Form Localization for Distributed MIMO Radar Systems Using Time Delay Measurements. - Chee-Hyun Park; Joon-Hyuk Chang (IEEE Trans. Wirel. Commun., 2016)

Deep Belief Networks Ensemble for Blood Pressure Estimation. - Soojeong Lee; Joon-Hyuk Chang (IEEE Access, 2017)

Oscillometric blood pressure estimation by combining nonparametric bootstrap with Gaussian mixture model. - Soojeong Lee; Sreeraman Rajan; Gwanggil Jeon; Joon-Hyuk Chang; Hilmi R. Dajani; Voicu Z. Groza (Comput. Biol. Medicine, 2017)

Deep learning ensemble with asymptotic techniques for oscillometric blood pressure estimation. - Soojeong Lee; Joon-Hyuk Chang (Comput. Methods Programs Biomed., 2017)

Bayesian feature enhancement using independent vector analysis and reverberation parameter re-estimation for noisy reverberant speech recognition. - Ji-Won Cho; Jong-Hyeon Park; Joon-Hyuk Chang; Hyung-Min Park (Comput. Speech Lang., 2017)

TOA source localization and DOA estimation algorithms using prior distribution for calibrated source. - Chee-Hyun Park; Joon-Hyuk Chang (Digit. Signal Process., 2017)

Adaptive robust time-of-arrival source localization algorithm based on variable step size weighted block Newton method. - Chee-Hyun Park; Joon-Hyuk Chang (EURASIP J. Wirel. Commun. Netw., 2017)

Spectral difference for statistical model-based speech enhancement in speech recognition. - Soojeong Lee; Joon-Hyuk Chang (Multim. Tools Appl., 2017)

Noncontact Sleep Study by Multi-Modal Sensor Fusion. - Ku-young Chung; Kwang-Sub Song; Kangsoo Shin; Jinho Sohn; Seok Hyun Cho; Joon-Hyuk Chang (Sensors, 2017)

Oscillometric Blood Pressure Estimation Based on Deep Learning. - Soojeong Lee; Joon-Hyuk Chang (IEEE Trans. Ind. Informatics, 2017)

DNN-based Speech Recognition System dealing with Motor State as Auxiliary Information of DNN for Head Shaking Robot. - Moa Lee; Joon-Hyuk Chang (IROS, 2018)

Sequential Deep Neural Networks Ensemble for Speech Bandwidth Extension. - Bong-Ki Lee; Kyoung Jin Noh; Joon-Hyuk Chang; Kihyun Choo; Eunmi Oh (IEEE Access, 2018)

Augmenting Bottleneck Features of Deep Neural Network Employing Motor State for Speech Recognition at Humanoid Robots. - Moa Lee; Joon-Hyuk Chang (CoRR, 2018)

Dempster-Shafer theory for enhanced statistical model-based voice activity detection. - Tae-Jun Park; Joon-Hyuk Chang (Comput. Speech Lang., 2018)

Sequential source localisation and range estimation based on shrinkage algorithm. - Chee-Hyun Park; Joon-Hyuk Chang (IET Signal Process., 2018)

DNN based multi-speaker speech synthesis with temporal auxiliary speaker ID embedding. - Junmo Lee; Kwang-Sub Song; Kyoung Jin Noh; Tae-Jun Park; Joon-Hyuk Chang (ICEIC, 2019)

Joint Optimization of Neural Acoustic Beamforming and Dereverberation with x-Vectors for Robust Speaker Verification. - Joon-Young Yang; Joon-Hyuk Chang (INTERSPEECH, 2019)

WLS Localization Using Skipped Filter, Hampel Filter, Bootstrapping and Gaussian Mixture EM in LOS/NLOS Conditions. - Chee-Hyun Park; Joon-Hyuk Chang (IEEE Access, 2019)

Robust LMedS-Based WLS and Tukey-Based EKF Algorithms Under LOS/NLOS Mixture Conditions. - Chee-Hyun Park; Joon-Hyuk Chang (IEEE Access, 2019)

Ensemble of jointly trained deep neural network-based acoustic models for reverberant speech recognition. - Moa Lee; Jee-Hye Lee; Joon-Hyuk Chang (Digit. Signal Process., 2019)

Shrinkage sinusoidal phase estimation based on spherical simplex unscented transform and bootstrap method. - Chee-Hyun Park; Joon-Hyuk Chang (Trans. Emerg. Telecommun. Technol., 2019)

State-Space Microphone Array Nonlinear Acoustic Echo Cancellation Using Multi-Microphone Near-End Speech Covariance. - Jihwan Park; Joon-Hyuk Chang (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Smart Wristwatches Employing Finger-Conducted Voice Transmission System. - Kwang-Sub Song; Joon-Hyuk Chang (IEEE Trans. Ind. Informatics, 2019)

Robust Shrinkage Range Estimation Algorithms Based on Hampel and Skipped Filters. - Chee-Hyun Park; Joon-Hyuk Chang (Wirel. Commun. Mob. Comput., 2019)

Attention Wave-U-Net for Acoustic Echo Cancellation. - Jung-Hee Kim; Joon-Hyuk Chang (INTERSPEECH, 2020)

Virtual Acoustic Channel Expansion Based on Neural Networks for Weighted Prediction Error-Based Speech Dereverberation. - Joon-Young Yang; Joon-Hyuk Chang (INTERSPEECH, 2020)

End-to-End Speech Endpoint Detection Utilizing Acoustic and Language Modeling Knowledge for Online Low-Latency Speech Recognition. - Inyoung Hwang; Joon-Hyuk Chang (IEEE Access, 2020)

Delayless Block Individual-Weighting-Factors Sign Subband Adaptive Filters With an Improved Band-Dependent Variable Step-Size. - Jung-Hee Kim; Jeong-Hwan Choi; Sang Won Nam; Joon-Hyuk Chang (IEEE Access, 2020)

Deep neural network ensemble for reducing artificial noise in bandwidth extension. - Kyoung Jin Noh; Joon-Hyuk Chang (Digit. Signal Process., 2020)

Robust range estimation algorithm based on hyper-tangent loss function. - Chee-Hyun Park; Joon-Hyuk Chang (IET Signal Process., 2020)

Joint Optimization of Deep Neural Network-Based Dereverberation and Beamforming for Sound Event Detection in Multi-Channel Environments. - Kyoung Jin Noh; Joon-Hyuk Chang (Sensors, 2020)

Multi-TALK: Multi-Microphone Cross-Tower Network for Jointly Suppressing Acoustic Echo and Background Noise. - Song-Kyu Park; Joon-Hyuk Chang (Sensors, 2020)

Cuffless Deep Learning-Based Blood Pressure Estimation for Smart Wristwatches. - Kwang-Sub Song; Ku-young Chung; Joon-Hyuk Chang (IEEE Trans. Instrum. Meas., 2020)

Robust Localization Based on ML-Type, Multi-Stage ML-Type, and Extrapolated Single Propagation UKF Methods Under Mixed LOS/NLOS Conditions. - Chee-Hyun Park; Joon-Hyuk Chang (IEEE Trans. Wirel. Commun., 2020)

Short-Utterance Embedding Enhancement Method Based on Time Series Forecasting Technique for Text-Independent Speaker Verification. - Jeong-Hwan Choi; Joon-Young Yang; Joon-Hyuk Chang (ASRU, 2021)

Zero-Shot Voice Cloning Using Variational Embedding with Attention Mechanism. - Jaeuk Lee; Jiye Kim; Joon-Hyuk Chang (IC-NIDC, 2021)

Deep Neural Network Calibration for E2E Speech Recognition System. - Mun-Hak Lee; Joon-Hyuk Chang (Interspeech, 2021)

MIMO Noise Suppression Preserving Spatial Cues for Sound Source Localization in Mobile Robot. - Jung-Hee Kim; Jeong-Hwan Choi; Jinyoung Son; Gyeong-Su Kim; Jihwan Park; Joon-Hyuk Chang (ISCAS, 2021)

Document-Level Neural TTS Using Curriculum Learning and Attention Masking. - Sung-Woong Hwang; Joon-Hyuk Chang (IEEE Access, 2021)

Modified MM Algorithm and Bayesian Expectation Maximization-Based Robust Localization Under NLOS Contaminated Environments. - Chee-Hyun Park; Joon-Hyuk Chang (IEEE Access, 2021)

Attribution Mask: Filtering Out Irrelevant Features By Recursively Focusing Attention on Inputs of DNNs. - Jae-Hong Lee; Joon-Hyuk Chang (CoRR, 2021)

Deep Q-network-based noise suppression for robust speech recognition. - Tae-Jun Park; Joon-Hyuk Chang (Turkish J. Electr. Eng. Comput. Sci., 2021)

Luminance-Degradation Compensation Based on Multistream Self-Attention to Address Thin-Film Transistor-Organic Light Emitting Diode Burn-In. - Seong-Chel Park; Kwan-Ho Park; Joon-Hyuk Chang (Sensors, 2021)

Attention-Based Joint Training of Noise Suppression and Sound Event Detection for Noise-Robust Classification. - Jin-Young Son; Joon-Hyuk Chang (Sensors, 2021)

Robust Localization Employing Weighted Least Squares Method Based on MM Estimator and Kalman Filter With Maximum Versoria Criterion. - Chee-Hyun Park; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2021)

Confidence Regularized Entropy for Polyphonic Sound Event Detection. - Won-Gook Choi; Joon-Hyuk Chang (DCASE, 2022)

Multi-Scale Architecture and Device-Aware Data-Random-Drop Based Fine-Tuning Method for Acoustic Scene Classification. - Joo-Hyun Lee; Jeong-Hwan Choi; Pil Moo Byun; Joon-Hyuk Chang (DCASE, 2022)

Knowledge Distillation from Language Model to Acoustic Model: A Hierarchical Multi-Task Learning Approach. - Mun-Hak Lee; Joon-Hyuk Chang (ICASSP, 2022)

Convolutional Recurrent Neural Network with Auxiliary Stream for Robust Variable-Length Acoustic Scene Classification. - Joon-Hyuk Chang; Won-Gook Choi (INTERSPEECH, 2022)

Improved CNN-Transformer using Broadcasted Residual Learning for Text-Independent Speaker Verification. - Jeong-Hwan Choi; Joon-Young Yang; Ye-Rin Jeoung; Joon-Hyuk Chang (INTERSPEECH, 2022)

HYU Submission for the SASV Challenge 2022: Reforming Speaker Embeddings with Spoofing-Aware Conditioning. - Jeong-Hwan Choi; Joon-Young Yang; Ye-Rin Jeoung; Joon-Hyuk Chang (INTERSPEECH, 2022)

Adversarial and Sequential Training for Cross-lingual Prosody Transfer TTS. - Min-Kyung Kim 002; Joon-Hyuk Chang (INTERSPEECH, 2022)

W2V2-Light: A Lightweight Version of Wav2vec 2.0 for Automatic Speech Recognition. - Dong-Hyun Kim; Jae-Hong Lee; Ji-Hwan Mo; Joon-Hyuk Chang (INTERSPEECH, 2022)

One-Shot Speaker Adaptation Based on Initialization by Generative Adversarial Networks for TTS. - Jaeuk Lee; Joon-Hyuk Chang (INTERSPEECH, 2022)

Advanced Speaker Embedding with Predictive Variance of Gaussian Distribution for Speaker Adaptation in TTS. - Jaeuk Lee; Joon-Hyuk Chang (INTERSPEECH, 2022)

Regularizing Transformer-based Acoustic Models by Penalizing Attention Weights. - Mun-Hak Lee; Joon-Hyuk Chang; Sang-Eon Lee; Ju-Seok Seong; Chanhee Park; Haeyoung Kwon (INTERSPEECH, 2022)

CTRL: Continual Representation Learning to Transfer Information of Pre-trained for WAV2VEC 2.0. - Jae-Hong Lee; Chae Won Lee; Jin-Seong Choi; Joon-Hyuk Chang; Woo Kyeong Seong; Jeonghan Lee (INTERSPEECH, 2022)

FiLM Conditioning with Enhanced Feature to the Transformer-based End-to-End Noisy Speech Recognition. - Da-Hee Yang; Joon-Hyuk Chang (INTERSPEECH, 2022)

NAS-TasNet: Neural Architecture Search for Time-Domain Speech Separation. - Joo-Hyun Lee; Joon-Hyuk Chang; Jae-Mo Yang; Han-Gil Moon (IEEE Access, 2022)

Robust Localization Based on Mixed-Norm Minimization Criterion. - Chee-Hyun Park; Joon-Hyuk Chang (IEEE Access, 2022)

Instance-level loss based multiple-instance learning for acoustic scene classification. - Won-Gook Choi; Joon-Hyuk Chang; Jae-Mo Yang; Han-Gil Moon (CoRR, 2022)

Supervised Learning Approach for Explicit Spatial Filtering of Speech. - Jeong-Hwan Choi; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2022)

Non-Autoregressive Fully Parallel Deep Convolutional Neural Speech Synthesis. - Moa Lee; Junmo Lee; Joon-Hyuk Chang (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

VACE-WPE: Virtual Acoustic Channel Expansion Based on Neural Networks for Weighted Prediction Error-Based Speech Dereverberation. - Joon-Young Yang; Joon-Hyuk Chang (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Task-Specific Optimization of Virtual Channel Linear Prediction-Based Speech Dereverberation Front-End for Far-Field Speaker Verification. - Joon-Young Yang; Joon-Hyuk Chang (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Revisiting Skipped Filter and Development of Robust Localization Method Based on Variational Bayesian Gaussian Mixture Algorithm. - Chee-Hyun Park; Joon-Hyuk Chang (IEEE Trans. Signal Process., 2022)

Extending Self-Distilled Self-Supervised Learning For Semi-Supervised Speaker Verification. - Jeong-Hwan Choi; Jehyun Kyung; Ju-Seok Seong; Ye-Rin Jeoung; Joon-Hyuk Chang (ASRU, 2023)

AWMC: Online Test-Time Adaptation Without Mode Collapse for Continual Adaptation. - Jae-Hong Lee; Do-Hee Kim; Joon-Hyuk Chang (ASRU, 2023)

Cross-Modal Learning for CTC-Based ASR: Leveraging CTC-Bertscore and Sequence-Level Training. - Mun-Hak Lee; Sang-Eon Lee; Ji-Eun Choi; Joon-Hyuk Chang (ASRU, 2023)

Knowledge Distillation From Offline to Streaming Transducer: Towards Accurate and Fast Streaming Model by Matching Alignments. - Ji-Hwan Mo; Jae-Jin Jeon; Mun-Hak Lee; Joon-Hyuk Chang (ASRU, 2023)

Towards Robust Packet Loss Concealment System With ASR-Guided Representations. - Da-Hee Yang; Joon-Hyuk Chang (ASRU, 2023)

A Multi-modal Teacher-student Framework for Improved Blood Pressure Estimation. - Jehyun Kyung; Jeong-Hwan Choi; Ju-Seok Seong; Ye-Rin Jeoung; Joon-Hyuk Chang (EMBC, 2023)

CAN2V: Can-Bus Data-Based Seq2seq Model for Vehicle Velocity Prediction. - Jae-Heung Cho; Joon-Hyuk Chang (ICASSP, 2023)

M-CTRL: A Continual Representation Learning Framework with Slowly Improving Past Pre-Trained Model. - Jin-Seong Choi; Jae-Hong Lee; Chae-Won Lee; Joon-Hyuk Chang (ICASSP, 2023)

Adaptive Time-Scale Modification for Improving Speech Intelligibility Based On Phoneme Clustering For Streaming Services. - Sohee Jang; Jiye Kim; Yeon-Ju Kim; Joon-Hyuk Chang (ICASSP, 2023)

Improving Transformer-Based End-to-End Speaker Diarization by Assigning Auxiliary Losses to Attention Heads. - Ye-Rin Jeoung; Joon-Young Yang; Jeong-Hwan Choi; Joon-Hyuk Chang (ICASSP, 2023)

Repackagingaugment: Overcoming Prediction Error Amplification in Weight-Averaged Speech Recognition Models Subject to Self-Training. - Jae-Hong Lee; Dong-Hyun Kim; Joon-Hyuk Chang (ICASSP, 2023)

Noise-Aware Target Extension with Self-Distillation for Robust Speech Recognition. - Ju-Seok Seong; Jeong-Hwan Choi; Jehyun Kyung; Ye-Rin Jeoung; Joon-Hyuk Chang (ICASSP, 2023)

Selective Film Conditioning with CTC-Based ASR Probability for Speech Enhancement. - Da-Hee Yang; Joon-Hyuk Chang (ICASSP, 2023)

Effective Masking Shapes Based Robust Data Augmentation for Acoustic Scene Classification. - Pil Moo Byun; Joon-Hyuk Chang (IC-NIDC, 2023)

Restoration of Face Mask-Induced Speech Intelligibility Degradation Via Neural Bandwidth Extension. - Donghyun Kim; Joon-Hyuk Chang (IC-NIDC, 2023)

Audio Captioning Using Semantic Alignment Enhancer. - Yoon-Ah Park; Joon-Hyuk Chang (IC-NIDC, 2023)

Deeply Supervised Curriculum Learning for Deep Neural Network-based Sound Source Localization. - Min-Sang Baek; Joon-Young Yang; Joon-Hyuk Chang (INTERSPEECH, 2023)

SR-SRP: Super-Resolution based SRP-PHAT for Sound Source Localization and Tracking. - Jae-Heung Cho; Joon-Hyuk Chang (INTERSPEECH, 2023)

Resolution Consistency Training on Time-Frequency Domain for Semi-Supervised Sound Event Detection. - Won-Gook Choi; Joon-Hyuk Chang (INTERSPEECH, 2023)

Prior-free Guided TTS: An Improved and Efficient Diffusion-based Text-Guided Speech Synthesis. - Won-Gook Choi; So-Jeong Kim; Tae-Ho Kim; Joon-Hyuk Chang (INTERSPEECH, 2023)

Self-Distillation into Self-Attention Heads for Improving Transformer-based End-to-End Neural Speaker Diarization. - Ye-Rin Jeoung; Jeong-Hwan Choi; Ju-Seok Seong; Jehyun Kyung; Joon-Hyuk Chang (INTERSPEECH, 2023)

Intra-ensemble: A New Method for Combining Intermediate Outputs in Transformer-based Automatic Speech Recognition. - Do-Hee Kim; Ji-Eun Choi; Joon-Hyuk Chang (INTERSPEECH, 2023)

General-purpose Adversarial Training for Enhanced Automatic Speech Recognition Model Generalization. - Do-Hee Kim; Daeyeol Shim; Joon-Hyuk Chang (INTERSPEECH, 2023)

Improving Joint Speech and Emotion Recognition Using Global Style Tokens. - Jehyun Kyung; Ju-Seok Seong; Jeong-Hwan Choi; Ye-Rin Jeoung; Joon-Hyuk Chang (INTERSPEECH, 2023)

HAD-ANC: A Hybrid System Comprising an Adaptive Filter and Deep Neural Networks for Active Noise Control. - JungPhil Park; Jeong-Hwan Choi; Yungyeo Kim; Joon-Hyuk Chang (INTERSPEECH, 2023)

Class Activation Mapping-Driven Data Augmentation: Masking Significant Regions for Enhanced Acoustic Scene Classification. - Pil Moo Byun; Jeong-Hwan Choi; Joon-Hyuk Chang (WASPAA, 2023)

Masked Frequency Modeling for Improving Packet Loss Concealment in Speech Transmission Systems. - Da-Hee Yang; Donghyun Kim; Joon-Hyuk Chang (WASPAA, 2023)

Robust Localization Method Based on Non-Parametric Probability Density Estimation. - Chee-Hyun Park; Joon-Hyuk Chang (IEEE Access, 2023)

Attention-based latent features for jointly trained end-to-end automatic speech recognition with modified speech enhancement. - Da-Hee Yang; Joon-Hyuk Chang (J. King Saud Univ. Comput. Inf. Sci., 2023)

Generalized Specaugment via Multi-Rectangle Inverse Masking For Acoustic Scene Classification. - Pil Moo Byun; Joon-Hyuk Chang (ICASSP, 2024)

Adversarial Learning on Compressed Posterior Space for Non-Iterative Score-based End-to-End Text-to-Speech. - Won-Gook Choi; Donghyun Seong; Joon-Hyuk Chang (ICASSP, 2024)

Improving Target Sound Extraction with Timestamp Knowledge Distillation. - Dail Kim; Min-Sang Baek; Yungyeo Kim; Joon-Hyuk Chang (ICASSP, 2024)

Class: Continual Learning Approach for Speech Super-Resolution. - Donghyun Kim; Yungyeo Kim; Joon-Hyuk Chang (ICASSP, 2024)

Text-Only Unsupervised Domain Adaptation for Neural Transducer-Based ASR Personalization Using Synthesized Data. - Dong-Hyun Kim; Jae-Hong Lee; Joon-Hyuk Chang (ICASSP, 2024)

Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation. - Jae-Hong Lee; Joon-Hyuk Chang (ICLR, 2024)

Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation. - Jae-Hong Lee; Joon-Hyuk Chang (ICML, 2024)

Retrieval-Augmented Classifier Guidance for Audio Generation. - Ho-Young Choi; Won-Gook Choi; Joon-Hyuk Chang (INTERSPEECH, 2024)

Efficient Speaker Embedding Extraction Using a Twofold Sliding Window Algorithm for Speaker Diarization. - Jeong-Hwan Choi; Ye-Rin Jeoung; Ilseok Kim; Joon-Hyuk Chang (INTERSPEECH, 2024)

Whisper Multilingual Downstream Task Tuning Using Task Vectors. - Ji-Hun Kang; Jae-Hong Lee; Mun-Hak Lee; Joon-Hyuk Chang (INTERSPEECH, 2024)

Mitigating Overfitting in Structured Pruning of ASR Models with Gradient-Guided Parameter Regularization. - Dong-Hyun Kim; Joon-Hyuk Chang (INTERSPEECH, 2024)

Sound of Vision: Audio Generation from Visual Text Embedding through Training Domain Discriminator. - Jaewon Kim; Won-Gook Choi; Seyun Ahn; Joon-Hyuk Chang (INTERSPEECH, 2024)

Few-Shot Keyword-Incremental Learning with Total Calibration. - Ilseok Kim; Ju-Seok Seong; Joon-Hyuk Chang (INTERSPEECH, 2024)

Guided conditioning with predictive network on score-based diffusion model for speech enhancement. - Dail Kim; Da-Hee Yang; Donghyun Kim; Joon-Hyuk Chang; Jeonghwan Choi; Moa Lee; Jaemo Yang; Han-gil Moon (INTERSPEECH, 2024)

Enhancing Multimodal Emotion Recognition through ASR Error Compensation and LLM Fine-Tuning. - Jehyun Kyung; Serin Heo; Joon-Hyuk Chang (INTERSPEECH, 2024)

Neural ATSM: Fully Neural Network-based Adaptive Time-Scale Modification Using Sentence-Specific Dynamic Control. - Jaeuk Lee; Sohee Jang; Joon-Hyuk Chang (INTERSPEECH, 2024)

Online Subloop Search via Uncertainty Quantization for Efficient Test-Time Adaptation. - Jae-Hong Lee; Sang-Eon Lee; Dong-Hyun Kim; Do-Hee Kim; Joon-Hyuk Chang (INTERSPEECH, 2024)

Balanced-Wav2Vec: Enhancing Stability and Robustness of Representation Learning Through Sample Reweighting Techniques. - Mun-Hak Lee; Jae-Hong Lee; Do-Hee Kim; Ye-Eun Ko; Joon-Hyuk Chang (INTERSPEECH, 2024)

H4C-TTS: Leveraging Multi-Modal Historical Context for Conversational Text-to-Speech. - Donghyun Seong; Joon-Hyuk Chang (INTERSPEECH, 2024)

TSP-TTS: Text-based Style Predictor with Residual Vector Quantization for Expressive Text-to-Speech. - Donghyun Seong; Hoyoung Lee; Joon-Hyuk Chang (INTERSPEECH, 2024)

Diff-PLC: A Diffusion-Based Approach For Effective Packet Loss Concealment. - Da-Hee Yang; Joon-Hyuk Chang (SLT, 2024)

Acoustic-Scene-Aware Target Sound Separation With Sound Embedding Refinement. - Yungyeo Kim; Joon-Hyuk Chang (IEEE Access, 2024)

DM: Dual-path Magnitude Network for General Speech Restoration. - Da-Hee Yang; Dail Kim; Joon-Hyuk Chang; Jeonghwan Choi; Han-gil Moon (CoRR, 2024)

Language Model Personalization for Speech Recognition: A Clustered Federated Learning Approach With Adaptive Weight Average. - Chae-Won Lee; Jae-Hong Lee; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2024)

Differentiable Duration Refinement Using Internal Division for Non-Autoregressive Text-to-Speech. - Jaeuk Lee; Yoonsoo Shin; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2024)

Robust Time-of-Arrival-Based Splitting Mean Moving Object Localization. - Chee-Hyun Park; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2024)

Efficient Lightweight Speaker Verification With Broadcasting CNN-Transformer and Knowledge Distillation Training of Self-Attention Maps. - Jeong-Hwan Choi; Joon-Young Yang; Joon-Hyuk Chang (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Partitioning Attention Weight: Mitigating Adverse Effect of Incorrect Pseudo-Labels for Self-Supervised ASR. - Jae-Hong Lee; Joon-Hyuk Chang (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Proper Error Estimation and Calibration for Attention-Based Encoder-Decoder Models. - Mun-Hak Lee; Joon-Hyuk Chang (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Diffusion-based Target Device Style Transfer for Robust Acoustic Scene Classification. - Won-Gook Choi; Joon-Hyuk Chang (ICASSP, 2025)

Trainable Adaptive Score Normalization for Automatic Speaker Verification. - Jeong-Hwan Choi; Ju-Seok Seong; Ye-Rin Jeoung; Joon-Hyuk Chang (ICASSP, 2025)

Multimodal Emotion Recognition with Target Speaker-Based Facial Embeddings. - Serin Heo; Jehyun Kyung; Joon-Hyuk Chang (ICASSP, 2025)

Progressive Subband Modeling for Artifacts-free Speech Super-resolution. - Donghyun Kim; Joon-Hyuk Chang (ICASSP, 2025)

Few-shot Keyword-incremental Learning Using Compositional Information. - Ilseok Kim; Ju-Seok Seong; Joon-Hyuk Chang (ICASSP, 2025)

Quad-Net: Melspectrogram Vocoder with Convolutional Layers Restricted by the Quadrature Mirror Filter for Perfect Reconstruction. - Nam-Seok Song; Joon-Hyuk Chang (ICASSP, 2025)

Adaptive splitting mean online expectation-maximization method-based moving object localization. - Chee-Hyun Park; Joon-Hyuk Chang (Digit. Signal Process., 2025)

Bayesian Language Model Adaptation for Personalized Speech Recognition. - Mun-Hak Lee; Ji-Hwan Mo; Ji-Hun Kang; Jin-Young Son; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2025)

Flow-PLC: Towards Efficient Packet Loss Concealment With Flow Matching. - Da-Hee Yang; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2025)

Tokenized Generative Speech Enhancement With Language Model and Flow Matching. - Da-Hee Yang; Jaeuk Lee; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2025)

FLOWER: Flow-Based Estimated Gaussian Guidance for General Speech Restoration. - Da-Hee Yang; Jaeuk Lee; Joon-Hyuk Chang (CoRR, 2025)