[50] B. Jung, D. Kim and Wooil Kim, “Clustering-Free End-to-End Spoof Diarization with Encoder-Decoder Attractors ,” Neurips 2026, Sydney,  Australia, Dec. 2026 (Accepted).

[49] D. Kim and Wooil Kim, “Improving Generalization in Speech Deepfake Detection via Orthogonality-Constrained Common-Specific Feature Decorrelation,” Interspeech-2026, Sydney,  Australia, Sept./Oct. 2026.

[48] B. Jung and Wooil Kim, “Hierarchical Permutation Consistency Learning for Self-Conditioned End-to-End Speaker Diarization,” Interspeech-2026, Sydney,  Australia, Sept./Oct. 2026.

[47] J. Jung and Wooil Kim, "Speaker Embedding Loss for End‑to‑End Speaker Diarization without External Embedding Networks," EURASIP Journal on Audio, Speech, and Music Processing, Vol. 2025, No. 40 (2025), Nov. 2025.

[46] B. Jung and Wooil Kim, “DLF-EEND: Dynamic Layer Fusion for End-to-End Speaker Diarization,” Interspeech-2025, Rotterdam, Netherlands, Aug. 2025.

[45] A. Bae and Wooil Kim, "Speaker Verification Employing Combinations of Self-Attention Mechanisms," Electronics 2020, 9, 2201, doi:10.3390/electronics9122201

[44] K. Yoon and Wooil Kim, "Small-Footprint Wake Up Word Recognition in Noisy Environments Employing Competing-Words-Based Feature," Electronics 2020, 9, 2202, doi:10.3390/electronics9122202

[43] S. Mun, S. Shon, Wooil Kim, D. K. Han, and H. Ko, “A Novel Discriminative Feature Extraction for Acoustic Scene Classification using RNN based Source Separation”, IEICE Trans. on Information & Systems, Vol.E100-D, ,No.12, pp.3041-3044, Dec. 2017.

[42] S. Shon, S. Mun, Wooil Kim and H. Ko, “Autoencoder based Domain Adaptation for Speaker Recognition under Insufficient Channel Information,” Interspeech-2017, pp. 1014–1018.

[41] S. Mun, S. Shon, Wooil Kim, D. K. Han, and H. Ko, “Deep Neural Network Based Learning and Transferring Mid-Level Audio Features for Acoustic Scene Classification,” IEEE ICASSP, pp. 796-800, New Orleans, USA, March 5-9, 2017.

[40] S. Mun, M. Shin, S. Shon, Wooil Kim, D. Han and H. Ko, “DNN Transfer Learning based Non-linear Feature Extraction for Acoustic Event Classification”, IEICE Trans. on Information and Systems, Vol.E100-D, No.9, pp.2249-2252, 2017.

[39] S. Mun, S. Shon, Wooil Kim and H. Ko, “Deep Neural Network Bottleneck Features for Acoustic Event Recognition,” INTERSPEECH-2016, pp. 2954-2957, San Francisco, CA, USA, Sept. 8-12, 2016.

[38] M. Shin, Wooil Kim, D. K. Han, H. Ko, “Relative Transfer Function (RTF) Estimation Utilizing Peaks in Time-Domain RTF,” Electronics Letters, 2016.

[37] J. Park, Wooil Kim, D. K. Han, H. Ko, “Two-Microphone Generalized Sidelobe Canceller with Post-Filter Based Speech Enhancement in Composite Noise,” ETRI Journal, Vol. 38, No. 9, pp. 366-375, April 2016.

[36] Wooil Kim and J.H.L. Hansen, “Advanced Parallel Combined Gaussian Mixture Model Based Feature Compensation Integrated with Iterative Channel Estimation,” Speech Communication, vol.73, pp.81-93, Oct. 2015.

[35] S. Mun, S. Shon, Wooil Kim, H. Ko, “Robust Speaker Direction Estimation with Microphone Array Using NMF for Smart TV Interaction,” IEEE ICCE, pp. 120-121, Las Vegas, NV, USA, Jan. 9-12, 2015

[34] J. Park, Wooil Kim, D. K. Han, and H. Ko, “Pre-filtering algorithm for dual-microphone generalized sidelobe canceller using general transfer function”, IEICE Transaction on Information and System, Vol.E97-D, No.9, pp. 2533-2566, Sept. 2014.

[33] J. Park, Wooil Kim, D. K. Han and H. Ko, “Voice Activity Detection in Noisy Environments based on Double-Combined Fourier Transform and Line Fitting”, The Scientific World Journal, Vol. 2014, Article ID 146040, 12 pages, Aug. 2014.(doi: 10.1155/2014/146040).

[32] Wooil Kim and J. H. L. Hansen, “An Advanced Feature Compensation Method Employing Acoustic Model With Phonetically Constrained Structure,” ICASSP-2013, Vancouver, Canada, May 2013.

[31] Wooil Kim and J. H. L. Hansen, “Gaussian Map based Acoustic Model Adaptation Using Untranscribed Data for Speech Recognition in Severely Adverse Environments,” Interspeech-2012, Portland, Oregon, USA, Sept. 2012.

[30] Wooil Kim and J. H. L. Hansen, “Feature Compensation employing Online GMM Adaptation for Speech Recognition in Unknown Severely Adverse Environments,” ICASSP-2012, pp.4121-4124, Kyoto, Japan, March 2012.

[29] Wooil Kim and J. H. L. Hansen, “Feature Compensation for Speech Recognition in Severely Adverse Environments due to Background Noise and Channel Distortion,” Interspeech-2011, pp.1653-1656, Florence, Italy, Aug. 2011.

[28] A. Taufique, K. Vijayasankar, Wooil Kim, J. H. L. Hansen, M. Tacca, and A. Fumagalli, “Phone Impact Based Speech Transmission Technique for Reliable Speech Recognition in Poor Wireless Network Conditions,” Interspeech-2011, pp.2529-2532, Florence, Italy, Aug. 2011.

[27] J.-W. Suh, Yun Lei, Wooil Kim, and J. H. L. Hansen, “Effective Background Data Selection in SVM Speaker Recognition for Unseen Test Environment: More is Not Always Better,” ICASSP-2011, pp. 5304-5307, Prague, Czech Republic, May 2011.

[26] Wooil Kim and J.H.L. Hansen, “A Novel Mask Estimation Method Employing Posterior-Based Mean Estimate for Missing-Feature Speech Recognition,” IEEE Trans. on Audio, Speech, & Language Proc., vol. 19, no. 5, pp. 1434-1443, July 2011.

[25] J.H.L. Hansen, Wooil Kim, M. Rahurkar, E. Ruzanski, and J. Meyerhoff, “Robust Emotional Stressed Speech Detection Using Weighted Frequency Subbands,” EURASIP Journal on Advanced Signal Processing, vol. 2011, Article ID 906789, 10 pages, 2011 (doi: 10.1155/2011/906789).

[24] Wooil Kim and J.H.L. Hansen, “Variational Noise Model Composition Through Model Perturbation for Robust Speech Recognition with Time-Varying Background Noise,” Speech Communication, vol. 53, no. 4, pp. 451-464, April 2011.

[23] Wooil Kim and R.M. Stern, “Mask Classification for Missing-Feature Reconstruction for Robust Speech Recognition with Unknown Background Noise,” Speech Communication, vol.53, no.1, pp.1-11, Jan. 2011.

[22] Wooil Kim and J.H.L. Hansen, “Missing-Feature Reconstruction by Leveraging Temporal Spectral Correlation for Robust Speech Recognition in Background Noise Conditions,” IEEE Trans. on Audio, Speech, & Language Proc., vol. 18, no. 8, pp. 2111-2120, Nov. 2010.

[21] Wooil Kim, J.-W. Suh, and J. H. L. Hansen, “An Effective Feature Compensation Scheme Tightly Matched with Speech Recognizer Employing SVM-based GMM Generation,” Interspeech-2010, pp.2078-2081, Makuhari, Japan, Sept. 2010.

[20] J.H.L. Hansen, Sharmistha S. Gray, and Wooil Kim, “Automatic Voice Onset Time Detection for Unvoiced Stops (/p/, /t/, /k/) with Application to Accent Classification,” Speech Communication, vol. 52, no.10, pp. 777-789, Oct. 2010.

[19] Wooil Kim, and J.H.L. Hansen, “Angry Emotion Detection from Real-Life Conversational Speech by Leveraging Content Structure,” ICASSP-2010, pp.5166-5169, Dallas, U.S.A., March 2010.

[18] Wooil Kim and J.H.L. Hansen, “Phonetic Distance Based Confidence Measure,” IEEE Signal Processing Letters, vol.17, no.2, pp.117-120, Feb. 2010.

[17] Wooil Kim, and J.H.L. Hansen, “Time-Frequency Correlation Based Missing-Feature Reconstruction for Robust Speech Recognition in Background Noise Conditions,” 43rd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2009.

[16] Wooil Kim, and J.H.L. Hansen, “Mask Estimation Employing Posterior-Based Representative Mean for Missing-Feature Speech Recognition with Time-Varying Background Noise,” IEEE ASRU-2009, pp.194-198, Merano, Italy, Dec. 2009.

[15] Wooil Kim, and J.H.L. Hansen, “Variational Model Composition for Robust Speech Recognition with Time-Varying Background Noise,” Interspeech-2009, pp.2399-2402, Brighton, UK, Sept. 2009.

[15] Wooil Kim, and J.H.L. Hansen, “Robust Angry Speech Detection Employing TEO-Based Discriminative Classifier Combination,” Interspeech-2009, pp.2019-2022, Brighton, UK, Sept. 2009

[14] Wooil Kim and J.H.L. Hansen, “Time-Frequency Correlation Based Missing-Feature Reconstruction for Robust Speech Recognition in Band-Restricted Conditions,” IEEE Trans. on Audio, Speech, & Language Proc., vol. 17, no. 7, pp. 1292-1304, Sept. 2009.

[13] Wooil Kim and J.H.L. Hansen, “Feature Compensation in the Cepstral Domain Employing Model Combination,” Speech Communication, vol. 51, no. 2, pp. 83-96, Feb. 2009.

[12] Wooil Kim, and J.H.L. Hansen, “Missing-Feature Method for Speaker Recognition in Band-Restricted Conditions,” Interspeech-2008, pp.1909-1912, Brisbane, Australia, Sept. 2008.

[11] J.H.L. Hansen, Wooil Kim and P. Angkititrakul, “Advances In Human-Machine Systems for In-Vehicle Environments,” IEEE HSCMA008, pp.128-131, Trento, Italy, May. 2008.

[10] Wooil Kim, and J.H.L. Hansen, "Feature Compensation Employing Multiple Environmental Models for Robust In-Vehicle Speech Recognition," IEICE Trans. on Information & Systems, vol.E91-D, no. 3, pp. 430-438, March 2008.

[9] Wooil Kim, and J.H.L. Hansen, “Speechfind for CDP: Advances in Spoken Document Retrieval for the U. S. Collaborative Digitization Program,” IEEE ASRU-2007, pp.687-692, Kyoto, Japan, Dec. 2007.

[8] Wooil Kim, and J.H.L. Hansen, "Advances in SpeechFind: Transcript Reliability Estimation Employing Confidence Measure Based on Discriminative Sub-word Model for SDR," Interspeech-2007, pp. 2409-2412, Aug. 2007.

[7] Wooil Kim, M. Akbacak and J.H.L. Hansen, "Advances in SpeechFind: CRSS-UTD Spoken Document Retrieval System," ACM SIGIR 2007 Workshop on Searching Spontaneous Conversational Speech, July 2007.

[6] Wooil Kim, and J.H.L. Hansen, "Feature Compensation Employing Model Combination for Robust Speech Recognition in In-Vehicle Environment," Biennial on DSP for In-Vehicle and Mobile Systems, Istanbul, Turkey, June 2007.

[5] Wooil Kim, and J.H.L. Hansen, "Missing-Feature Reconstruction for Band-Limited Speech Recognition in Spoken Document Retrieval," Interspeech-2006, pp. 2306-2309, Pittsburgh, U.S.A, Sep. 2006.

[4] Wooil Kim, and R.M. Stern, "Band-Independent Mask Estimation for Missing-Feature Reconstruction in the Presence of Unknown Background Noise," ICASSP-2006, pp. 305-308, Toulouse, France, May 2006.

[3] Wooil Kim, R.M. Stern and H. Ko, "Environment-Independent Mask Estimation for Missing-Feature Reconstruction," Interspeech-2005, pp. 2637-2640, Lisbon, Portugal, Sep. 2005.

[2] Wooil Kim, O. Kwon and H. Ko, "PCMM-based Feature Compensation Schemes Using Model Interpolation and Mixture Sharing," ICASSP-2004, pp. 989-992, Montreal, Canada, May 2004.

[1] Wooil Kim, S. Ahn and H. Ko, "Feature Compensation Scheme Based on Parallel Combined Mixture Model," Eurospeech-2003, pp. 677-680, Geneva, Switzerland, Sep. 2003.

[26] 김동희, 김우일, "임베딩 변별력 향상을 위한 대조 중심 손실 함수 기반 종단 간 화자 분할 개선 연구," 한국음향학회지, 제44권, 제5호, pp. 525~532, 2025.

[25] 정봉수, 김우일, "이상치 강건 손실함수를 결합한 심층 신경망 기반 음성 향상 연구," 한국음향학회지, 제44권, 제1호, pp. 66~73, 2025.

[24] 김동희, 김태원, 김우일, "자기지도학습 표현을 적용한 심층 신경망 기반 음성 향상 기법 연구," 한국음향학회지, 제44권, 제1호, pp. 58~65, 2025.

[23] 정재희, 김우일, "특징 맵 중요도 기반 어텐션을 적용한 복소 스펙트럼 기반 음성 향상에 관한 연구," 한국음향학회지, 제42권, 제6호, pp. 544~551, 2023.

[22] 정재희, 김우일, "단일 레이블 분류를 이용한 종단 간 화자 분할 시스템 성능 향상에 관한 연구," 한국음향학회지, 제42권, 제6호, pp. 536~543, 2023.

[21] 정재희, 김우일, "복소 스펙트럼 기반 음성 향상의 성능 향상을 위한 time-frequency self-attention 기반 skip-connection 기법 연구," 한국음향학회지, 제42권, 제2호, pp. 94~101, 2023.

[20] 김지민, 정재희, 여찬은, 김우일, "드론 소음 환경에서 심층 신경망 기반 음성 향상 기법 적용에 관한 연구," 한국음향학회지, 제41권, 제3호, pp. 342~350, 2022.

[19] 정재희, 김우일, "효과적인 복소 스펙트럼 기반 음성 향상을 위한 시간과 주파수 영역 손실함수 조합에 관한 연구," 한국음향학회지, 제41권, 제1호, pp. 38~44, 2022.

[18] 정재희, 김우일, " 잡음 환경에 효과적인 마스크 기반 음성 향상을 위한 손실함수 조합에 관한 연구," 한국음향학회지, 제40권, 제3호, pp. 234~240, 2021.

[17] 배아라, 윤기무, 정재희, 정보경, 김우일, " 화자 구분 시스템의 관심 화자 추출을 위한 i-vector 유사도 기반의 음성 분할 기법," 한국음향학회지, 제39권, 제5호, pp. 461~467, 2020.

[16] 배아라, 김우일, "Attention-long short term memory 기반의 화자 임베딩과 I-vector를 결합한 원거리 및 잡음 환경에서의 화자 검증 알고리즘," 한국음향학회지, 제39권, 제2호, pp. 137~142, 2020.

[15] 윤기무, 김우일, "Deep neural network-hidden Markov model 하이브리드 구조의 모델을 사용한 사용자 정의 기동어 인식 시스템에 관한 연구," 한국음향학회지, 제39권, 제2호, pp. 131~146, 2020.

[14] 김민석, 정재희, 정보경, 윤기무, 배아라, 김우일, "심층신경망 구조에 따른 구개인두부전증 환자 음성 인식 향상 연구," 한국음향학회지, 제38권, 제6호, pp. 703~709, 2019.

[13] 윤기무, 김우일, "DNN-HMM 기반 시스템을 이용한 효과적인 구개인두부전증 환자 음성 인식," 한국정보통신학회논문지, 제23권, 제1호, pp. 33~38, 2019.

[12] 윤기무, 김우일, "잡음 환경 음성 인식을 위한 심층 신경망 기반의 잡음 오염 함수 예측을 통한 음향 모델 적응 기법," 한국음향학회지, 제38권, 제1호, pp. 47~50, 2019.

[11] 배아라, 김우일, "잡음 환경에 효과적인 음성인식을 위한 특징 보상 이득 기반의 음성 향상 기법," 한국음향학회지, 제38권, 제1호, pp. 51~55, 2019.

[10] 윤기무, 김우일, "잡음 환경에 효과적인 음성 인식을 위한 Gaussian mixture model deep neural network 하이브리드 기반의 특징 보상," 한국음향학회지, 제37권, 제6호, pp. 506~511, 2018.

[9] 지승은, 김우일, "효과적인 음성 인식 평가를 위한 심층 신경망 기반의 음성 인식 성능 지표," 한국정보통신학회논문지, 제21권, 제12호, pp. 2291~2297, 2017.

[8] 지승은, 김우일, "음성 특성 지표를 이용한 음성 인식 성능 예측," 한국정보통신학회논문지, 제20권, 제3호, pp. 471~476, 2016.

[7] 지승은, 김우일, "음성 인식용 데이터베이스 검증시스템을 위한 새로운 음성 인식 성능 지표," 한국정보통신학회논문지, 제20권, 제3호, pp. 464~470, 2016.

[6] 김성민, 김우일, 권택균, 성명훈, 성미영, "구개열 환자 발음 판별을 위한 특징 추출 방법 분석," 정보과학회논문지, 제42권, 제11호, pp. 1372~1379, 2015.

[5] 김우일, "미전사 음성 데이터베이스를 이용한 가우시안 혼합 모델 적응 기반의 음성 인식용 음향 모델 변환 기법," 한국정보통신학회논문지, 제19권, 제5호, pp. 1047~1054, 2015.

[4] 성미영, 권택균, 성명훈, 김우일, "모의 음성 모델을 이용한 효과적인 구개인두부전증 환자 음성 인식," 한국정보통신학회논문지, 제19권, 제5호, pp. 1243~1250, 2015.

[3] 지승은, 조준영, 이충근, 오시원, 김우일, "피보호자 모니터링 시스템을 위한 환경음 기반 상황 인식," 한국정보통신학회논문지, 제19권, 제2호, pp. 343~350, 2015.

[2] 성미영, 김희진, 권택균, 성명훈, 김우일, "구개인두부전증 환자와 모의 음성의 모음과 자음 분석," 한국정보통신학회논문지, 제18권, 제7호, pp. 1740~1748, 2014.

[1] 김우일, "시변 잡음에 강인한 음성 인식을 위한 PCA 기반의 Variational 모델 생성 기법," 한국정보통신학회논문지, 제17권, 제12호, pp. 2793~2799, 2013.