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2020 – today
- 2024
[j125]Yungyeo Kim
, Joon-Hyuk Chang:
Acoustic-Scene-Aware Target Sound Separation With Sound Embedding Refinement. IEEE Access 12: 71606-71616 (2024)- [j124]Chee-Hyun Park, Joon-Hyuk Chang:
Robust Time-of-Arrival-Based Splitting Mean Moving Object Localization. IEEE Signal Process. Lett. 31: 226-230 (2024) - [j123]Jaeuk Lee, Yoonsoo Shin, Joon-Hyuk Chang:
Differentiable Duration Refinement Using Internal Division for Non-Autoregressive Text-to-Speech. IEEE Signal Process. Lett. 31: 3154-3158 (2024) - [j122]Jae-Hong Lee, Joon-Hyuk Chang:
Partitioning Attention Weight: Mitigating Adverse Effect of Incorrect Pseudo-Labels for Self-Supervised ASR. IEEE ACM Trans. Audio Speech Lang. Process. 32: 891-905 (2024) - [j121]Jeong-Hwan Choi, Joon-Young Yang, Joon-Hyuk Chang:
Efficient Lightweight Speaker Verification With Broadcasting CNN-Transformer and Knowledge Distillation Training of Self-Attention Maps. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4580-4595 (2024) - [j120]Mun-Hak Lee, Joon-Hyuk Chang:
Proper Error Estimation and Calibration for Attention-Based Encoder-Decoder Models. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4919-4930 (2024) - [c85]Pil Moo Byun, Joon-Hyuk Chang:
Generalized Specaugment via Multi-Rectangle Inverse Masking For Acoustic Scene Classification. ICASSP 2024: 841-845 - [c84]Dail Kim, Min-Sang Baek, Yungyeo Kim, Joon-Hyuk Chang:
Improving Target Sound Extraction with Timestamp Knowledge Distillation. ICASSP 2024: 1396-1400 - [c83]Donghyun Kim, Yungyeo Kim, Joon-Hyuk Chang:
Class: Continual Learning Approach for Speech Super-Resolution. ICASSP 2024: 1401-1405 - [c82]Won-Gook Choi, Donghyun Seong, Joon-Hyuk Chang:
Adversarial Learning on Compressed Posterior Space for Non-Iterative Score-based End-to-End Text-to-Speech. ICASSP 2024: 10946-10950 - [c81]Dong-Hyun Kim, Jae-Hong Lee, Joon-Hyuk Chang:
Text-Only Unsupervised Domain Adaptation for Neural Transducer-Based ASR Personalization Using Synthesized Data. ICASSP 2024: 11131-11135 - [c80]Jae-Hong Lee, Joon-Hyuk Chang:
Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation. ICLR 2024 - [c79]Jae-Hong Lee, Joon-Hyuk Chang:
Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation. ICML 2024 - [i7]Da-Hee Yang, Dail Kim, Joon-Hyuk Chang, Jeonghwan Choi, Han-gil Moon:
DM: Dual-path Magnitude Network for General Speech Restoration. CoRR abs/2409.08702 (2024) - 2023
- [j119]Chee-Hyun Park, Joon-Hyuk Chang:
Robust Localization Method Based on Non-Parametric Probability Density Estimation. IEEE Access 11: 61468-61480 (2023) - [j118]Da-Hee Yang, Joon-Hyuk Chang:
Attention-based latent features for jointly trained end-to-end automatic speech recognition with modified speech enhancement. J. King Saud Univ. Comput. Inf. Sci. 35(3): 202-210 (2023) - [c78]Jeong-Hwan Choi, Jehyun Kyung, Ju-Seok Seong, Ye-Rin Jeoung, Joon-Hyuk Chang:
Extending Self-Distilled Self-Supervised Learning For Semi-Supervised Speaker Verification. ASRU 2023: 1-8 - [c77]Jae-Hong Lee, Do-Hee Kim, Joon-Hyuk Chang:
AWMC: Online Test-Time Adaptation Without Mode Collapse for Continual Adaptation. ASRU 2023: 1-8 - [c76]Mun-Hak Lee, Sang-Eon Lee, Ji-Eun Choi, Joon-Hyuk Chang:
Cross-Modal Learning for CTC-Based ASR: Leveraging CTC-Bertscore and Sequence-Level Training. ASRU 2023: 1-8 - [c75]Ji-Hwan Mo, Jae-Jin Jeon, Mun-Hak Lee, Joon-Hyuk Chang:
Knowledge Distillation From Offline to Streaming Transducer: Towards Accurate and Fast Streaming Model by Matching Alignments. ASRU 2023: 1-7 - [c74]Da-Hee Yang, Joon-Hyuk Chang:
Towards Robust Packet Loss Concealment System With ASR-Guided Representations. ASRU 2023: 1-8 - [c73]Jehyun Kyung, Jeong-Hwan Choi, Ju-Seok Seong, Ye-Rin Jeoung, Joon-Hyuk Chang:
A Multi-modal Teacher-student Framework for Improved Blood Pressure Estimation. EMBC 2023: 1-5 - [c72]Jae-Heung Cho, Joon-Hyuk Chang:
CAN2V: Can-Bus Data-Based Seq2seq Model for Vehicle Velocity Prediction. ICASSP 2023: 1-5 - [c71]Jin-Seong Choi, Jae-Hong Lee, Chae-Won Lee, Joon-Hyuk Chang:
M-CTRL: A Continual Representation Learning Framework with Slowly Improving Past Pre-Trained Model. ICASSP 2023: 1-5 - [c70]Sohee Jang, Jiye Kim, Yeon-Ju Kim, Joon-Hyuk Chang:
Adaptive Time-Scale Modification for Improving Speech Intelligibility Based On Phoneme Clustering For Streaming Services. ICASSP 2023: 1-5 - [c69]Ye-Rin Jeoung, Joon-Young Yang, Jeong-Hwan Choi, Joon-Hyuk Chang:
Improving Transformer-Based End-to-End Speaker Diarization by Assigning Auxiliary Losses to Attention Heads. ICASSP 2023: 1-5 - [c68]Jae-Hong Lee, Dong-Hyun Kim, Joon-Hyuk Chang:
Repackagingaugment: Overcoming Prediction Error Amplification in Weight-Averaged Speech Recognition Models Subject to Self-Training. ICASSP 2023: 1-5 - [c67]Ju-Seok Seong, Jeong-Hwan Choi, Jehyun Kyung, Ye-Rin Jeoung, Joon-Hyuk Chang:
Noise-Aware Target Extension with Self-Distillation for Robust Speech Recognition. ICASSP 2023: 1-5 - [c66]Da-Hee Yang, Joon-Hyuk Chang:
Selective Film Conditioning with CTC-Based ASR Probability for Speech Enhancement. ICASSP 2023: 1-5 - [c65]Yoon-Ah Park, Joon-Hyuk Chang:
Audio Captioning Using Semantic Alignment Enhancer. IC-NIDC 2023: 374-378 - [c64]Pil Moo Byun, Joon-Hyuk Chang:
Effective Masking Shapes Based Robust Data Augmentation for Acoustic Scene Classification. IC-NIDC 2023: 404-408 - [c63]Donghyun Kim, Joon-Hyuk Chang:
Restoration of Face Mask-Induced Speech Intelligibility Degradation Via Neural Bandwidth Extension. IC-NIDC 2023: 409-413 - [c62]Won-Gook Choi, Joon-Hyuk Chang:
Resolution Consistency Training on Time-Frequency Domain for Semi-Supervised Sound Event Detection. INTERSPEECH 2023: 286-290 - [c61]Do-Hee Kim, Daeyeol Shim, Joon-Hyuk Chang:
General-purpose Adversarial Training for Enhanced Automatic Speech Recognition Model Generalization. INTERSPEECH 2023: 889-893 - [c60]Do-Hee Kim, Ji-Eun Choi, Joon-Hyuk Chang:
Intra-ensemble: A New Method for Combining Intermediate Outputs in Transformer-based Automatic Speech Recognition. INTERSPEECH 2023: 2203-2207 - [c59]JungPhil Park, Jeong-Hwan Choi, Yungyeo Kim, Joon-Hyuk Chang:
HAD-ANC: A Hybrid System Comprising an Adaptive Filter and Deep Neural Networks for Active Noise Control. INTERSPEECH 2023: 2513-2517 - [c58]Ye-Rin Jeoung, Jeong-Hwan Choi, Ju-Seok Seong, Jehyun Kyung, Joon-Hyuk Chang:
Self-Distillation into Self-Attention Heads for Improving Transformer-based End-to-End Neural Speaker Diarization. INTERSPEECH 2023: 3197-3201 - [c57]Min-Sang Baek, Joon-Young Yang, Joon-Hyuk Chang:
Deeply Supervised Curriculum Learning for Deep Neural Network-based Sound Source Localization. INTERSPEECH 2023: 3744-3748 - [c56]Jae-Heung Cho, Joon-Hyuk Chang:
SR-SRP: Super-Resolution based SRP-PHAT for Sound Source Localization and Tracking. INTERSPEECH 2023: 3769-3773 - [c55]Won-Gook Choi, So-Jeong Kim, Tae-Ho Kim, Joon-Hyuk Chang:
Prior-free Guided TTS: An Improved and Efficient Diffusion-based Text-Guided Speech Synthesis. INTERSPEECH 2023: 4289-4293 - [c54]Jehyun Kyung, Ju-Seok Seong, Jeong-Hwan Choi, Ye-Rin Jeoung, Joon-Hyuk Chang:
Improving Joint Speech and Emotion Recognition Using Global Style Tokens. INTERSPEECH 2023: 4528-4532 - [c53]Pil Moo Byun, Jeong-Hwan Choi, Joon-Hyuk Chang:
Class Activation Mapping-Driven Data Augmentation: Masking Significant Regions for Enhanced Acoustic Scene Classification. WASPAA 2023: 1-5 - [c52]Da-Hee Yang, Donghyun Kim, Joon-Hyuk Chang:
Masked Frequency Modeling for Improving Packet Loss Concealment in Speech Transmission Systems. WASPAA 2023: 1-5 - [i6]Ye-Rin Jeoung, Joon-Young Yang, Jeong-Hwan Choi, Joon-Hyuk Chang:
Improving Transformer-based End-to-End Speaker Diarization by Assigning Auxiliary Losses to Attention Heads. CoRR abs/2303.01192 (2023) - 2022
- [j117]Joo-Hyun Lee, Joon-Hyuk Chang, Jae-Mo Yang, Han-Gil Moon:
NAS-TasNet: Neural Architecture Search for Time-Domain Speech Separation. IEEE Access 10: 56031-56043 (2022) - [j116]Chee-Hyun Park, Joon-Hyuk Chang:
Robust Localization Based on Mixed-Norm Minimization Criterion. IEEE Access 10: 57080-57093 (2022) - [j115]Jeong-Hwan Choi, Joon-Hyuk Chang:
Supervised Learning Approach for Explicit Spatial Filtering of Speech. IEEE Signal Process. Lett. 29: 1412-1416 (2022) - [j114]Joon-Young Yang, Joon-Hyuk Chang:
VACE-WPE: Virtual Acoustic Channel Expansion Based on Neural Networks for Weighted Prediction Error-Based Speech Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 174-189 (2022) - [j113]Moa Lee, Junmo Lee, Joon-Hyuk Chang:
Non-Autoregressive Fully Parallel Deep Convolutional Neural Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1150-1159 (2022) - [j112]Joon-Young Yang, Joon-Hyuk Chang:
Task-Specific Optimization of Virtual Channel Linear Prediction-Based Speech Dereverberation Front-End for Far-Field Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 30: 3144-3159 (2022) - [j111]Chee-Hyun Park, Joon-Hyuk Chang:
Revisiting Skipped Filter and Development of Robust Localization Method Based on Variational Bayesian Gaussian Mixture Algorithm. IEEE Trans. Signal Process. 70: 5639-5651 (2022) - [c51]Won-Gook Choi, Joon-Hyuk Chang:
Confidence Regularized Entropy for Polyphonic Sound Event Detection. DCASE 2022 - [c50]Joo-Hyun Lee, Jeong-Hwan Choi, Pil Moo Byun, Joon-Hyuk Chang:
Multi-Scale Architecture and Device-Aware Data-Random-Drop Based Fine-Tuning Method for Acoustic Scene Classification. DCASE 2022 - [c49]Mun-Hak Lee, Joon-Hyuk Chang:
Knowledge Distillation from Language Model to Acoustic Model: A Hierarchical Multi-Task Learning Approach. ICASSP 2022: 8392-8396 - [c48]Mun-Hak Lee, Joon-Hyuk Chang, Sang-Eon Lee, Ju-Seok Seong, Chanhee Park, Haeyoung Kwon:
Regularizing Transformer-based Acoustic Models by Penalizing Attention Weights. INTERSPEECH 2022: 56-60 - [c47]Jeong-Hwan Choi, Joon-Young Yang, Ye-Rin Jeoung, Joon-Hyuk Chang:
Improved CNN-Transformer using Broadcasted Residual Learning for Text-Independent Speaker Verification. INTERSPEECH 2022: 2223-2227 - [c46]Joon-Hyuk Chang, Won-Gook Choi:
Convolutional Recurrent Neural Network with Auxiliary Stream for Robust Variable-Length Acoustic Scene Classification. INTERSPEECH 2022: 2418-2422 - [c45]Jeong-Hwan Choi, Joon-Young Yang, Ye-Rin Jeoung, Joon-Hyuk Chang:
HYU Submission for the SASV Challenge 2022: Reforming Speaker Embeddings with Spoofing-Aware Conditioning. INTERSPEECH 2022: 2873-2877 - [c44]Jaeuk Lee, Joon-Hyuk Chang:
One-Shot Speaker Adaptation Based on Initialization by Generative Adversarial Networks for TTS. INTERSPEECH 2022: 2978-2982 - [c43]Jaeuk Lee, Joon-Hyuk Chang:
Advanced Speaker Embedding with Predictive Variance of Gaussian Distribution for Speaker Adaptation in TTS. INTERSPEECH 2022: 2988-2992 - [c42]Dong-Hyun Kim, Jae-Hong Lee, Ji-Hwan Mo, Joon-Hyuk Chang:
W2V2-Light: A Lightweight Version of Wav2vec 2.0 for Automatic Speech Recognition. INTERSPEECH 2022: 3038-3042 - [c41]Jae-Hong Lee, Chae Won Lee, Jin-Seong Choi, Joon-Hyuk Chang, Woo Kyeong Seong, Jeonghan Lee:
CTRL: Continual Representation Learning to Transfer Information of Pre-trained for WAV2VEC 2.0. INTERSPEECH 2022: 3398-3402 - [c40]Da-Hee Yang, Joon-Hyuk Chang:
FiLM Conditioning with Enhanced Feature to the Transformer-based End-to-End Noisy Speech Recognition. INTERSPEECH 2022: 4098-4102 - [c39]Min-Kyung Kim, Joon-Hyuk Chang:
Adversarial and Sequential Training for Cross-lingual Prosody Transfer TTS. INTERSPEECH 2022: 4556-4560 - [i5]Won-Gook Choi, Joon-Hyuk Chang, Jae-Mo Yang, Han-Gil Moon:
Instance-level loss based multiple-instance learning for acoustic scene classification. CoRR abs/2203.08439 (2022) - 2021
- [j110]Chee-Hyun Park, Joon-Hyuk Chang:
Modified MM Algorithm and Bayesian Expectation Maximization-Based Robust Localization Under NLOS Contaminated Environments. IEEE Access 9: 4059-4071 (2021) - [j109]Sung-Woong Hwang, Joon-Hyuk Chang:
Document-Level Neural TTS Using Curriculum Learning and Attention Masking. IEEE Access 9: 8954-8960 (2021) - [j108]Tae-Jun Park, Joon-Hyuk Chang:
Deep Q-network-based noise suppression for robust speech recognition. Turkish J. Electr. Eng. Comput. Sci. 29(5): 2362-2373 (2021) - [j107]Seong-Chel Park, Kwan-Ho Park, Joon-Hyuk Chang:
Luminance-Degradation Compensation Based on Multistream Self-Attention to Address Thin-Film Transistor-Organic Light Emitting Diode Burn-In. Sensors 21(9): 3182 (2021) - [j106]Jin-Young Son, Joon-Hyuk Chang:
Attention-Based Joint Training of Noise Suppression and Sound Event Detection for Noise-Robust Classification. Sensors 21(20): 6718 (2021) - [j105]Chee-Hyun Park, Joon-Hyuk Chang:
Robust Localization Employing Weighted Least Squares Method Based on MM Estimator and Kalman Filter With Maximum Versoria Criterion. IEEE Signal Process. Lett. 28: 1075-1079 (2021) - [c38]Jeong-Hwan Choi, Joon-Young Yang, Joon-Hyuk Chang:
Short-Utterance Embedding Enhancement Method Based on Time Series Forecasting Technique for Text-Independent Speaker Verification. ASRU 2021: 130-137 - [c37]Jaeuk Lee, Jiye Kim, Joon-Hyuk Chang:
Zero-Shot Voice Cloning Using Variational Embedding with Attention Mechanism. IC-NIDC 2021: 344-348 - [c36]Mun-Hak Lee, Joon-Hyuk Chang:
Deep Neural Network Calibration for E2E Speech Recognition System. Interspeech 2021: 4064-4068 - [c35]Jung-Hee Kim, Jeong-Hwan Choi, Jinyoung Son, Gyeong-Su Kim, Jihwan Park, Joon-Hyuk Chang:
MIMO Noise Suppression Preserving Spatial Cues for Sound Source Localization in Mobile Robot. ISCAS 2021: 1-5 - [i4]Jae-Hong Lee, Joon-Hyuk Chang:
Attribution Mask: Filtering Out Irrelevant Features By Recursively Focusing Attention on Inputs of DNNs. CoRR abs/2102.07332 (2021) - [i3]Mun-Hak Lee, Joon-Hyuk Chang:
Knowledge distillation from language model to acoustic model: a hierarchical multi-task learning approach. CoRR abs/2110.10429 (2021) - 2020
- [j104]Inyoung Hwang, Joon-Hyuk Chang:
End-to-End Speech Endpoint Detection Utilizing Acoustic and Language Modeling Knowledge for Online Low-Latency Speech Recognition. IEEE Access 8: 161109-161123 (2020) - [j103]Jung-Hee Kim, Jeong-Hwan Choi, Sang Won Nam, Joon-Hyuk Chang:
Delayless Block Individual-Weighting-Factors Sign Subband Adaptive Filters With an Improved Band-Dependent Variable Step-Size. IEEE Access 8: 185796-185803 (2020) - [j102]Kyoung Jin Noh, Joon-Hyuk Chang:
Deep neural network ensemble for reducing artificial noise in bandwidth extension. Digit. Signal Process. 102: 102760 (2020) - [j101]Chee-Hyun Park, Joon-Hyuk Chang:
Robust range estimation algorithm based on hyper-tangent loss function. IET Signal Process. 14(5): 314-321 (2020) - [j100]Kyoung Jin Noh, Joon-Hyuk Chang:
Joint Optimization of Deep Neural Network-Based Dereverberation and Beamforming for Sound Event Detection in Multi-Channel Environments. Sensors 20(7): 1883 (2020) - [j99]Song-Kyu Park, Joon-Hyuk Chang:
Multi-TALK: Multi-Microphone Cross-Tower Network for Jointly Suppressing Acoustic Echo and Background Noise. Sensors 20(22): 6493 (2020) - [j98]Kwang-Sub Song, Ku-young Chung, Joon-Hyuk Chang:
Cuffless Deep Learning-Based Blood Pressure Estimation for Smart Wristwatches. IEEE Trans. Instrum. Meas. 69(7): 4292-4302 (2020) - [j97]Chee-Hyun Park, Joon-Hyuk Chang:
Robust Localization Based on ML-Type, Multi-Stage ML-Type, and Extrapolated Single Propagation UKF Methods Under Mixed LOS/NLOS Conditions. IEEE Trans. Wirel. Commun. 19(9): 5819-5832 (2020) - [c34]Joon-Young Yang, Joon-Hyuk Chang:
Virtual Acoustic Channel Expansion Based on Neural Networks for Weighted Prediction Error-Based Speech Dereverberation. INTERSPEECH 2020: 3930-3934 - [c33]Jung-Hee Kim, Joon-Hyuk Chang:
Attention Wave-U-Net for Acoustic Echo Cancellation. INTERSPEECH 2020: 3969-3973
2010 – 2019
- 2019
- [j96]Chee-Hyun Park, Joon-Hyuk Chang:
WLS Localization Using Skipped Filter, Hampel Filter, Bootstrapping and Gaussian Mixture EM in LOS/NLOS Conditions. IEEE Access 7: 35919-35928 (2019) - [j95]Chee-Hyun Park, Joon-Hyuk Chang:
Robust LMedS-Based WLS and Tukey-Based EKF Algorithms Under LOS/NLOS Mixture Conditions. IEEE Access 7: 148198-148207 (2019) - [j94]Moa Lee, Jee-Hye Lee, Joon-Hyuk Chang:
Ensemble of jointly trained deep neural network-based acoustic models for reverberant speech recognition. Digit. Signal Process. 85: 1-9 (2019) - [j93]Chee-Hyun Park, Joon-Hyuk Chang:
Shrinkage sinusoidal phase estimation based on spherical simplex unscented transform and bootstrap method. Trans. Emerg. Telecommun. Technol. 30(7) (2019) - [j92]Jihwan Park, Joon-Hyuk Chang:
State-Space Microphone Array Nonlinear Acoustic Echo Cancellation Using Multi-Microphone Near-End Speech Covariance. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1520-1534 (2019) - [j91]Kwang-Sub Song, Joon-Hyuk Chang:
Smart Wristwatches Employing Finger-Conducted Voice Transmission System. IEEE Trans. Ind. Informatics 15(2): 965-975 (2019) - [j90]Chee-Hyun Park, Joon-Hyuk Chang:
Robust Shrinkage Range Estimation Algorithms Based on Hampel and Skipped Filters. Wirel. Commun. Mob. Comput. 2019: 6592406:1-6592406:9 (2019) - [c32]Junmo Lee, Kwang-Sub Song, Kyoung Jin Noh, Tae-Jun Park, Joon-Hyuk Chang:
DNN based multi-speaker speech synthesis with temporal auxiliary speaker ID embedding. ICEIC 2019: 1-4 - [c31]Joon-Young Yang, Joon-Hyuk Chang:
Joint Optimization of Neural Acoustic Beamforming and Dereverberation with x-Vectors for Robust Speaker Verification. INTERSPEECH 2019: 4075-4079 - 2018
- [j89]Bong-Ki Lee, Kyoung Jin Noh, Joon-Hyuk Chang, Kihyun Choo, Eunmi Oh:
Sequential Deep Neural Networks Ensemble for Speech Bandwidth Extension. IEEE Access 6: 27039-27047 (2018) - [j88]Tae-Jun Park, Joon-Hyuk Chang:
Dempster-Shafer theory for enhanced statistical model-based voice activity detection. Comput. Speech Lang. 47: 47-58 (2018) - [j87]Chee-Hyun Park, Joon-Hyuk Chang:
Sequential source localisation and range estimation based on shrinkage algorithm. IET Signal Process. 12(2): 182-187 (2018) - [c30]Moa Lee, Joon-Hyuk Chang:
DNN-based Speech Recognition System dealing with Motor State as Auxiliary Information of DNN for Head Shaking Robot. IROS 2018: 1859-1863 - [i2]Moa Lee, Joon-Hyuk Chang:
Augmenting Bottleneck Features of Deep Neural Network Employing Motor State for Speech Recognition at Humanoid Robots. CoRR abs/1808.08702 (2018) - 2017
- [j86]Soojeong Lee, Joon-Hyuk Chang:
Deep Belief Networks Ensemble for Blood Pressure Estimation. IEEE Access 5: 9962-9972 (2017) - [j85]Soojeong Lee, Sreeraman Rajan, Gwanggil Jeon, Joon-Hyuk Chang, Hilmi R. Dajani, Voicu Z. Groza:
Oscillometric blood pressure estimation by combining nonparametric bootstrap with Gaussian mixture model. Comput. Biol. Medicine 85: 112-124 (2017) - [j84]Soojeong Lee, Joon-Hyuk Chang:
Deep learning ensemble with asymptotic techniques for oscillometric blood pressure estimation. Comput. Methods Programs Biomed. 151: 1-13 (2017) - [j83]Ji-Won Cho, Jong-Hyeon Park, Joon-Hyuk Chang, Hyung-Min Park:
Bayesian feature enhancement using independent vector analysis and reverberation parameter re-estimation for noisy reverberant speech recognition. Comput. Speech Lang. 46: 496-516 (2017) - [j82]Chee-Hyun Park, Joon-Hyuk Chang:
TOA source localization and DOA estimation algorithms using prior distribution for calibrated source. Digit. Signal Process. 71: 61-68 (2017) - [j81]Chee-Hyun Park, Joon-Hyuk Chang:
Adaptive robust time-of-arrival source localization algorithm based on variable step size weighted block Newton method. EURASIP J. Wirel. Commun. Netw. 2017: 121 (2017) - [j80]Soojeong Lee, Joon-Hyuk Chang:
Spectral difference for statistical model-based speech enhancement in speech recognition. Multim. Tools Appl. 76(23): 24917-24929 (2017) - [j79]Ku-young Chung, Kwang-Sub Song, Kangsoo Shin, Jinho Sohn, Seok Hyun Cho, Joon-Hyuk Chang:
Noncontact Sleep Study by Multi-Modal Sensor Fusion. Sensors 17(7): 1685 (2017) - [j78]Soojeong Lee, Joon-Hyuk Chang:
Oscillometric Blood Pressure Estimation Based on Deep Learning. IEEE Trans. Ind. Informatics 13(2): 461-472 (2017) - 2016
- [j77]Inyoung Hwang, Hyung-Min Park, Joon-Hyuk Chang:
Ensemble of deep neural networks using acoustic environment classification for statistical model-based voice activity detection. Comput. Speech Lang. 38: 1-12 (2016) - [j76]Bong-Ki Lee, Joon-Hyuk Chang:
Novel adaptive muting technique for packet loss concealment of ITU-T G.722 using optimized parametric shaping functions. EURASIP J. Audio Speech Music. Process. 2016: 11 (2016) - [j75]Chee-Hyun Park, Joon-Hyuk Chang:
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. EURASIP J. Adv. Signal Process. 2016: 89 (2016) - [j74]Chee-Hyun Park, Joon-Hyuk Chang:
Closed-form two-step weighted-least-squares-based time-of-arrival source localisation using invariance property of maximum likelihood estimator in multiple-sample environment. IET Commun. 10(10): 1206-1213 (2016) - [j73]Chee-Hyun Park, Joon-Hyuk Chang:
Time-of-arrival source localization based on weighted least squares estimator in line-of-sight/non-line-of-sight mixture environments. Int. J. Distributed Sens. Networks 12(12) (2016) - [j72]Soojeong Lee, Joon-Hyuk Chang:
On using multivariate polynomial regression model with spectral difference for statistical model-based speech enhancement. J. Syst. Archit. 64: 76-85 (2016) - [j71]Bong-Ki Lee, Joon-Hyuk Chang:
Packet Loss Concealment Based on Deep Neural Networks for Digital Speech Transmission. IEEE ACM Trans. Audio Speech Lang. Process. 24(2): 378-387 (2016) - [j70]Soojeong Lee, Chee-Hyun Park, Joon-Hyuk Chang:
Improved Gaussian Mixture Regression Based on Pseudo Feature Generation Using Bootstrap in Blood Pressure Estimation. IEEE Trans. Ind. Informatics 12(6): 2269-2280 (2016) - [j69]Chee-Hyun Park, Joon-Hyuk Chang:
Closed-Form Localization for Distributed MIMO Radar Systems Using Time Delay Measurements. IEEE Trans. Wirel. Commun. 15(2): 1480-1490 (2016) - [c29]Seng Hyun Huang, Jihwan Park, Joon-Hyuk Chang:
Dual-microphone voice activity detection based on using optimally weighted maximum a posteriori probabilities. ICASSP 2016: 5360-5364 - [c28]Myungin Lee, Joon-Hyuk Chang:
Blind estimation of reverberation time using deep neural network. IC-NIDC 2016: 308-311 - [c27]Ku-young Chung, Bong-Ki Lee, Kwang-Sub Song, Kangsoo Shin, Seok Hyun Cho, Joon-Hyuk Chang:
An experimental study: The sufficient respiration rate detection technique via continuous wave Doppler radar. IC-NIDC 2016: 471-475 - [i1]Jee-Hye Lee, Myungin Lee, Joon-Hyuk Chang:
Ensemble of Jointly Trained Deep Neural Network-Based Acoustic Models for Reverberant Speech Recognition. CoRR abs/1608.04983 (2016) - 2015
- [j68]Soojeong Lee, Sreeraman Rajan, Chee-Hyun Park, Joon-Hyuk Chang, Hilmi R. Dajani, Voicu Z. Groza:
Estimated confidence interval from single blood pressure measurement based on algorithmic fusion. Comput. Biol. Medicine 62: 154-163 (2015) - [j67]Chee-Hyun Park, Soojeong Lee, Joon-Hyuk Chang:
Shrinkage-based biased signal-to-noise ratio estimator using pilot and data symbols for linearly modulated signals. IET Commun. 9(11): 1388-1395 (2015) - [j66]Chungsoo Lim, Joon-Hyuk Chang:
Efficient implementation techniques of an SVM-based speech/music classifier in SMV. Multim. Tools Appl. 74(15): 5375-5400 (2015) - [j65]Chee-Hyun Park, Soojeong Lee, Joon-Hyuk Chang:
Robust closed-form time-of-arrival source localization based on α-trimmed mean and Hodges-Lehmann estimator under NLOS environments. Signal Process. 111: 113-123 (2015) - [c26]Inyoung Hwang, Jaeseong Sim, Sang-Hyeon Kim, Kwang-Sub Song, Joon-Hyuk Chang:
A statistical model-based voice activity detection using multiple DNNs and noise awareness. INTERSPEECH 2015: 2277-2281 - 2014
- [j64]Chee-Hyun Park, Joon-Hyuk Chang:
Shrinkage estimation-based source localization with minimum mean squared error criterion and minimum bias criterion. Digit. Signal Process. 29: 100-106 (2014) - [j63]Soojeong Lee, Chungsoo Lim, Joon-Hyuk Chang:
A new a priori SNR estimator based on multiple linear regression technique for speech enhancement. Digit. Signal Process. 30: 154-164 (2014) - [j62]Chungsoo Lim, Soojeong Lee, Jae-Hun Choi, Joon-Hyuk Chang:
Efficient Implementation of Statistical Model-Based Voice Activity Detection Using Taylor Series Approximation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(3): 865-868 (2014) - [j61]Chee-Hyun Park, Kwang-Seok Hong, Sang Won Nam, Joon-Hyuk Chang:
Biased SNR estimation using pilot and data symbols in BPSK and QPSK systems. J. Commun. Networks 16(6): 583-591 (2014) - [j60]Chungsoo Lim, Jae-Hoon Choi, Sang Won Nam, Joon-Hyuk Chang:
A new television audience measurement framework using smart devices. Multim. Tools Appl. 73(3): 1757-1776 (2014) - [j59]Jihwan Park, Joon-Hyuk Chang:
Frequency-Domain Volterra Filter Based on Data-Driven Soft Decision for Nonlinear Acoustic Echo Suppression. IEEE Signal Process. Lett. 21(9): 1088-1092 (2014) - [j58]Jae-Hun Choi, Joon-Hyuk Chang:
Dual-Microphone Voice Activity Detection Technique Based on Two-Step Power Level Difference Ratio. IEEE ACM Trans. Audio Speech Lang. Process. 22(6): 1069-1081 (2014) - [c25]Inyoung Hwang, Joon-Hyuk Chang:
Voice Activity Detection Based on Statistical Model Employing Deep Neural Network. IIH-MSP 2014: 582-585 - [c24]Bong-Ki Lee, Inyoung Hwang, Jihwan Park, Joon-Hyuk Chang:
Enhanced muting method in packet loss concealment of ITU-t g.722 using sigmoid function with on-line optimized parameters. INTERSPEECH 2014: 2814-2818 - 2013
- [j57]Joon-Hyuk Chang:
Noisy speech enhancement based on improved minimum statistics incorporating acoustic environment-awareness. Digit. Signal Process. 23(4): 1233-1238 (2013) - [j56]Tae-Ho Jung, Jung Hee Kim, Joon-Hyuk Chang, Sang Won Nam:
Online Sparse Volterra System Identification Using Projections onto Weighted l1 Balls. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(10): 1980-1983 (2013) - [j55]Jong-Woong Kim, Joon-Hyuk Chang, Sang Won Nam, Dong Kook Kim, Jong Won Shin:
Improved Speech-Presence Uncertainty Estimation Based on Spectral Gradient for Global Soft Decision-Based Speech Enhancement. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(10): 2025-2028 (2013) - [j54]Soojeong Lee, Joon-Hyuk Chang, Sang Won Nam, Chungsoo Lim, Sreeraman Rajan, Hilmi R. Dajani, Voicu Z. Groza:
Oscillometric Blood Pressure Estimation Based on Maximum Amplitude Algorithm Employing Gaussian Mixture Regression. IEEE Trans. Instrum. Meas. 62(12): 3387-3389 (2013) - [c23]Bong-Ki Lee, Chungsoo Lim, Jihwan Park, Joon-Hyuk Chang:
Enhanced muting method in packet loss concealment of ITU-t g.722 employing optimized sigmoid function. INTERSPEECH 2013: 3458-3462 - 2012
- [j53]Yun-Sik Park, Joon-Hyuk Chang:
Integrated acoustic echo and background noise suppression technique based on soft decision. EURASIP J. Adv. Signal Process. 2012: 11 (2012) - [j52]Chungsoo Lim, Joon-Hyuk Chang:
Improvement of SVM-Based Speech/Music Classification Using Adaptive Kernel Technique. IEICE Trans. Inf. Syst. 95-D(3): 888-891 (2012) - [j51]Jae-Hun Choi, Joon-Hyuk Chang:
A Statistical Model-Based Speech Enhancement Using Acoustic Noise Classification for Robust Speech Communication. IEICE Trans. Commun. 95-B(7): 2513-2516 (2012) - [j50]Chungsoo Lim, Joon-Hyuk Chang:
Enhancing support vector machine-based speech/music classification using conditional maximum a posteriori criterion. IET Signal Process. 6(4): 335-340 (2012) - [j49]Sang-Kyun Kim, Joon-Hyuk Chang:
Voice activity detection based on conditional MAP criterion incorporating the spectral gradient. Signal Process. 92(7): 1699-1705 (2012) - [j48]Jae-Hun Choi, Joon-Hyuk Chang:
On using acoustic environment classification for statistical model-based speech enhancement. Speech Commun. 54(3): 477-490 (2012) - [j47]Chungsoo Lim, Seong-Ro Lee, Joon-Hyuk Chang:
Efficient implementation of an SVM-based speech/music classifier by enhancing temporal locality in support vector references. IEEE Trans. Consumer Electron. 58(3): 898-904 (2012) - [c22]Chungsoo Lim, Seong-Ro Lee, Yeonwoo Lee, Joon-Hyuk Chang:
New techniques for improving the practicality of an SVM-based speech/music classifier. ICASSP 2012: 1657-1660 - [c21]Jae-Hun Choi, Sang-Kyun Kim, Joon-Hyuk Chang:
Adaptive noise power estimation using spectral difference for robust speech enhancement. ICASSP 2012: 4649-4652 - [c20]Jae-Hun Choi, Joon-Hyuk Chang:
On using spectral gradient in conditional MAP criterion for robust voice activity detection. IC-NIDC 2012: 370-374 - 2011
- [j46]Jae-Hun Choi, Joon-Hyuk Chang, Dong Kook Kim, Suhyun Kim:
Speech Enhancement Based on Adaptive Noise Power Estimation Using Spectral Difference. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(10): 2031-2034 (2011) - [j45]Yu Gwang Jin, Nam Soo Kim, Joon-Hyuk Chang:
Speech Enhancement Based on Data-Driven Residual Gain Estimation. IEICE Trans. Inf. Syst. 94-D(12): 2537-2540 (2011) - [j44]Woojung Lee, Ji-Hyun Song, Joon-Hyuk Chang:
Minima-controlled speech presence uncertainty tracking method for speech enhancement. Signal Process. 91(1): 155-161 (2011) - [c19]Jae-Hun Choi, Sang-Kyun Kim, Joon-Hyuk Chang:
A Soft Decision-Based Speech Enhancement Using Acoustic Noise Classification. INTERSPEECH 2011: 1193-1196 - 2010
- [j43]Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim:
Voice activity detection based on statistical models and machine learning approaches. Comput. Speech Lang. 24(3): 515-530 (2010) - [j42]Sang-Ick Kang, Joon-Hyuk Chang:
Voice Activity Detection Based on Discriminative Weight Training Incorporating a Spectral Flatness Measure. Circuits Syst. Signal Process. 29(2): 183-194 (2010) - [j41]Jong-Mo Kum, Yun-Sik Park, Joon-Hyuk Chang:
Improved minima controlled recursive averaging technique using conditional maximum a posteriori criterion for speech enhancement. Digit. Signal Process. 20(6): 1572-1578 (2010) - [j40]Sang-Kyun Kim, Joon-Hyuk Chang:
Discriminative Weight Training for Support Vector Machine-Based Speech/Music Classification in 3GPP2 SMV Codec. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(1): 316-319 (2010) - [j39]Jong-Mo Kum, Joon-Hyuk Chang:
Improved Global Soft Decision Incorporating Second-Order Conditional MAP in Speech Enhancement. IEICE Trans. Inf. Syst. 93-D(6): 1652-1655 (2010) - [j38]Jae-Hun Choi, Joon-Hyuk Chang, Seong-Ro Lee:
Efficient Speech Reinforcement Based on Low-Bit-Rate Speech Coding Parameters. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(9): 1684-1687 (2010) - [j37]Yun-Sik Park, Joon-Hyuk Chang:
Double-talk detection based on soft decision for acoustic echo suppression. Signal Process. 90(5): 1737-1741 (2010) - [j36]Kyu-Ho Lee, Joon-Hyuk Chang, Nam Soo Kim, Sangki Kang, Yongserk Kim:
Frequency-Domain Double-Talk Detection Based on the Gaussian Mixture Model. IEEE Signal Process. Lett. 17(5): 453-456 (2010) - [c18]Yun-Sik Park, Ji-Hyun Song, Sang-Ick Kang, Woojung Lee, Joon-Hyuk Chang:
A statistical model-based double-talk detection incorporating soft decision. ICASSP 2010: 5082-5085 - [c17]Ji-Hyun Song, Kyu-Ho Lee, Yun-Sik Park, Sang-Ick Kang, Joon-Hyuk Chang:
On using Gaussian mixture model for double-talk detection in acoustic echo suppression. INTERSPEECH 2010: 2778-2781 - [c16]Sang-Kyun Kim, Jae-Hun Choi, Sang-Ick Kang, Ji-Hyun Song, Joon-Hyuk Chang:
Toward detecting voice activity employing soft decision in second-order conditional MAP. INTERSPEECH 2010: 3082-3085
2000 – 2009
- 2009
- [j35]Sang-Ick Kang, Joon-Hyuk Chang:
Discriminative weight training-based optimally weighted MFCC for gender identification. IEICE Electron. Express 6(19): 1374-1379 (2009) - [j34]Sang-Kyun Kim, Joon-Hyuk Chang:
Speech/Music Classification Enhancement for 3GPP2 SMV Codec Based on Support Vector Machine. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(2): 630-632 (2009) - [j33]Kye-Hwan Lee, Joon-Hyuk Chang:
Acoustic Environment Classification Based on SMV Speech Codec Parameters for Context-Aware Mobile Phone. IEICE Trans. Inf. Syst. 92-D(7): 1491-1495 (2009) - [j32]Jae-Hun Choi, Woo-Sang Park, Joon-Hyuk Chang:
Speech Reinforcement Based on Soft Decision under Far-End Noise Environments. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(8): 2116-2119 (2009) - [j31]Ji-Hyun Song, Joon-Hyuk Chang:
Efficient Implementation of Voiced/Unvoiced Sounds Classification Based on GMM for SMV Codec. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(8): 2120-2123 (2009) - [j30]Yun-Sik Park, Joon-Hyuk Chang:
Frequency Domain Acoustic Echo Suppression Based on Soft Decision. IEEE Signal Process. Lett. 16(1): 53-56 (2009) - [j29]Joon-Hyuk Chang, Q-Haing Jo, Dong Kook Kim, Nam Soo Kim:
Global Soft Decision Employing Support Vector Machine For Speech Enhancement. IEEE Signal Process. Lett. 16(1): 57-60 (2009) - [j28]Jong-Mo Kum, Joon-Hyuk Chang:
Speech Enhancement Based on Minima Controlled Recursive Averaging Incorporating Second-Order Conditional MAP Criterion. IEEE Signal Process. Lett. 16(7): 624-627 (2009) - [c15]Jong-Mo Kum, Yun-Sik Park, Joon-Hyuk Chang:
Speech enhancement based on minima controlled recursive averaging incorporating conditional maximum a posteriori criterion. ICASSP 2009: 4417-4420 - [c14]Yun-Sik Park, Ji-Hyun Song, Jae-Hun Choi, Joon-Hyuk Chang:
Enhanced minimum statistics technique incorporating soft decision for noise suppression. INTERSPEECH 2009: 1347-1350 - [c13]Yun-Sik Park, Ji-Hyun Song, Jae-Hun Choi, Joon-Hyuk Chang:
Soft decision-based acoustic echo suppression in a frequency domain. INTERSPEECH 2009: 2599-2602 - 2008
- [j27]Jong Kyu Kim, Jung Su Kim, Hwan Sik Yun, Joon-Hyuk Chang, Nam Soo Kim:
Frame Splitting Scheme for Error-Robust Audio Streaming over Packet-Switching Networks. IEICE Trans. Commun. 91-B(2): 677-680 (2008) - [j26]Q-Haing Jo, Yun-Sik Park, Kye-Hwan Lee, Joon-Hyuk Chang:
A Support Vector Machine-Based Voice Activity Detection Employing Effective Feature Vectors. IEICE Trans. Commun. 91-B(6): 2090-2093 (2008) - [j25]Kye-Hwan Lee, Sang-Ick Kang, Deok-Hwan Kim, Joon-Hyuk Chang:
A Support Vector Machine-Based Gender Identification Using Speech Signal. IEICE Trans. Commun. 91-B(10): 3326-3329 (2008) - [j24]Yun-Sik Park, Joon-Hyuk Chang:
A Probabilistic Combination Method of Minimum Statistics and Soft Decision for Robust Noise Power Estimation in Speech Enhancement. IEEE Signal Process. Lett. 15: 95-98 (2008) - [j23]Ji-Hyun Song, Kye-Hwan Lee, Joon-Hyuk Chang, Jong Kyu Kim, Nam Soo Kim:
Analysis and Improvement of Speech/Music Classification for 3GPP2 SMV Based on GMM. IEEE Signal Process. Lett. 15: 103-106 (2008) - [j22]Sang-Ick Kang, Q-Haing Jo, Joon-Hyuk Chang:
Discriminative Weight Training for a Statistical Model-Based Voice Activity Detection. IEEE Signal Process. Lett. 15: 170-173 (2008) - [c12]Sang-Ick Kang, Ji-Hyun Song, Kye-Hwan Lee, Yun-Sik Park, Joon-Hyuk Chang:
A statistical model-based voice activity detection employing minimum classification error technique. INTERSPEECH 2008: 103-106 - [c11]Kye-Hwan Lee, Sang-Ick Kang, Ji-Hyun Song, Joon-Hyuk Chang:
Group delay function for improved gender identification. INTERSPEECH 2008: 1513-1516 - 2007
- [j21]Joon-Hyuk Chang:
Complex laplacian probability density function for noisy speech enhancement. IEICE Electron. Express 4(8): 245-250 (2007) - [j20]Joon-Hyuk Chang, Hyoung-Gon Kim, Sangki Kang:
Residual echo reduction based on MMSE estimator in acoustic echo canceller. IEICE Electron. Express 4(24): 762-767 (2007) - [j19]Yun-Sik Park, Joon-Hyuk Chang:
A Novel Approach to a Robust a Priori SNR Estimator in Speech Enhancement. IEICE Trans. Commun. 90-B(8): 2182-2185 (2007) - [j18]Joon-Hyuk Chang, Dong Seok Jeong, Nam Soo Kim, Sangki Kang:
Improved Global Soft Decision Using Smoothed Global Likelihood Ratio for Speech Enhancement. IEICE Trans. Commun. 90-B(8): 2186-2189 (2007) - [j17]Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim:
Speech Enhancement Based on Perceptually Comfortable Residual Noise. IEICE Trans. Commun. 90-B(11): 3323-3326 (2007) - [j16]Joon-Hyuk Chang, Saeed Gazor, Nam Soo Kim, Sanjit K. Mitra:
Multiple statistical models for soft decision in noisy speech enhancement. Pattern Recognit. 40(3): 1123-1134 (2007) - [j15]Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim:
Voice activity detection based on a family of parametric distributions. Pattern Recognit. Lett. 28(11): 1295-1299 (2007) - [j14]Dong Kook Kim, Keun Won Jang, Joon-Hyuk Chang:
A New Statistical Voice Activity Detection Based on UMP Test. IEEE Signal Process. Lett. 14(11): 891-894 (2007) - [c10]Keun Won Jang, Dong Kook Kim, Joon-Hyuk Chang:
A uniformly most powerful test for statistical model-based voice activity detection. INTERSPEECH 2007: 2917-2920 - [c9]Q-Haing Jo, Yun-Sik Park, Kye-Hwan Lee, Ji-Hyun Song, Joon-Hyuk Chang:
Voice activity detection based on support vector machine using effective feature vectors. INTERSPEECH 2007: 2937-2940 - 2006
- [j13]Joon-Hyuk Chang:
Perceptual weighting filter for robust speech modification. Signal Process. 86(5): 1089-1093 (2006) - [j12]Joon-Hyuk Chang, Nam Soo Kim:
A new structural approach in system identification with generalized analysis-by-synthesis for robust speech coding. IEEE Trans. Speech Audio Process. 14(3): 747-751 (2006) - [j11]Joon-Hyuk Chang, Nam Soo Kim, Sanjit K. Mitra:
Voice activity detection based on multiple statistical models. IEEE Trans. Signal Process. 54(6-1): 1965-1976 (2006) - [c8]Joon-Hyuk Chang, Woohyung Lim, Nam Soo Kim:
Signal modification incorporating perceptual weighting filter. INTERSPEECH 2006 - 2005
- [j10]Joon-Hyuk Chang, Sanjit K. Mitra:
Multiband Vector Quantization Based on Inner Product for Wideband Speech Coding. IEICE Trans. Inf. Syst. 88-D(11): 2606-2608 (2005) - [j9]Joon-Hyuk Chang, Nam Soo Kim, Sanjit K. Mitra:
Pitch estimation of speech signal based on adaptive lattice notch filter. Signal Process. 85(3): 637-641 (2005) - [j8]Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim:
Statistical modeling of speech signals based on generalized gamma distribution. IEEE Signal Process. Lett. 12(3): 258-261 (2005) - [j7]Joon-Hyuk Chang, Jong Won Shin, Nam Soo Kim, Sanjit K. Mitra:
Image probability distribution based on generalized gamma function. IEEE Signal Process. Lett. 12(4): 325-328 (2005) - [j6]Joon-Hyuk Chang:
Warped discrete cosine transform-based noisy speech enhancement. IEEE Trans. Circuits Syst. II Express Briefs 52-II(9): 535-539 (2005) - [c7]Jong Won Shin, Joon-Hyuk Chang, Hwan Sik Yun, Nam Soo Kim:
Voice Activity Detection based on Generalized Gamma Distribution. ICASSP (1) 2005: 781-784 - [c6]Joon-Hyuk Chang, Jong Won Shin, Seung Yeol Lee, Nam Soo Kim:
A new structural preprocessor for low-bit rate speech coding. INTERSPEECH 2005: 2729-2732 - 2004
- [j5]Joon-Hyuk Chang, Nam Soo Kim:
Distorted Speech Rejection for Automatic Speech Recognition in Wireless Communication. IEICE Trans. Inf. Syst. 87-D(7): 1978-1981 (2004) - [j4]Joon-Hyuk Chang, Nam Soo Kim, Sanjit K. Mitra:
A Statistical Model-Based V/UV Decision under Background Noise Environments. IEICE Trans. Inf. Syst. 87-D(12): 2885-2887 (2004) - [j3]Nam Soo Kim, Joon-Hyuk Chang:
Signal modification for robust speech coding. IEEE Trans. Speech Audio Process. 12(1): 9-18 (2004) - [c5]Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim:
Speech probability distribution based on generalized gama distribution. INTERSPEECH 2004: 2477-2480 - [c4]Seung Yeol Lee, Nam Soo Kim, Joon-Hyuk Chang:
Inner product based-multiband vector quantization for wideband speech coding at 16 kbps. INTERSPEECH 2004: 2653-2656 - 2003
- [c3]Joon-Hyuk Chang, Jong Won Shin, Nam Soo Kim:
Likelihood ratio test with complex laplacian model for voice activity detection. INTERSPEECH 2003: 1065-1068 - 2002
- [j2]Nam Soo Kim, Joon-Hyuk Chang:
A preprocessor for low-bit-rate speech coding. IEEE Signal Process. Lett. 9(10): 318-321 (2002) - [c2]Nam Soo Kim, Joon-Hyuk Chang:
Generalized analysis-by-synthesis based on system identification. ICASSP 2002: 633-636 - 2000
- [j1]Nam Soo Kim, Joon-Hyuk Chang:
Spectral enhancement based on global soft decision. IEEE Signal Process. Lett. 7(5): 108-110 (2000) - [c1]Joon-Hyuk Chang, Nam Soo Kim:
Speech enhancement: new approaches to soft decision. INTERSPEECH 2000: 1133-1136
Coauthor Index
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