2022
Jin Woo Lee, Eungbeom Kim, Junghyun Koo, Kyogu Lee “Representation Selective Self-distillation and wav2vec 2.0 Feature Exploration for Spoof-aware Speaker Verification”, in Proceedings of Interspeech, 2022
Junghyun Koo, Seungryeol Paik, Kyogu Lee “END-TO-END MUSIC REMASTERING SYSTEM USING SELF-SUPERVISED AND ADVERSARIAL TRAINING”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
2021
Hyeong-Seok Choi, Juheon Lee, Wansoo Kim, Jie Hwan Lee, Hoon Heo, Kyogu Lee
“Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations “, in Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), Virtual, December 2021.
Jaejun Lee, Donmoon Lee, Hyeong-Seok Choi, Kyogu Lee, “Room adaptive conditioning method for sound event classification in reverberant environments”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Junghyun Koo, Seungryeol Paik, Kyogu Lee, “REVERB CONVERSION OF MIXED VOCAL TRACKS USING AN END-TO-END CONVOLUTIONAL DEEP NEURAL NETWORK”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Hyeong-Seok Choi, Sungjin Park, Jie Hwan Lee, Hoon Heo, Dongsuk Jeon, Kyogu Lee, “REAL-TIME DENOISING AND DEREVERBERATION WTIH TINY RECURRENT U-NET”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Sungkyun Chang, Donmoon Lee, Jeongsoo Park, Hyungui Lim, Kyogu Lee, Karam Ko, Yoonchang Han, “NEURAL AUDIO FINGERPRINT FOR HIGH-SPECIFIC AUDIO RETRIEVAL BASED ON CONTRASTIVE LEARNING”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Sarah Kim,Jeong Mi Park,Seungyeon Rhyu,Juhan Nam,Kyogu Lee, “Quantitative analysis of piano performance proficiency focusing on difference between hands”, PloS one, 16(5), e0250299, 2021
Sarah Kim, Seungyeon Rhyu, Juhan Nam, Kyogu Lee, “Correlation Analysis Between Both Hands and Musical Score for Quantitative Evaluation of Piano Performance”, 16th International Conference on Music Perception and Cognition (ICMPC), 2021
2020
Hyun Jeong Kim, So Yeon Park, Minju Park, and Kyogu Lee, “Do Channels Matter? Illuminating Interpersonal Influence on Music Recommendations”, in Proceedings of the Fourteenth ACM Conference on Recommender Systems (RecSys), 2020
Jongkyu Shin, Bongwon Suh, Kyogu Lee, “Input Method Implementation Using a Real Smartphone Image Overlay in Virtual Reality”, Journal of the HCI Society of Korea, Vol. 15, No. 2, 2020
Chang-Bin Jeon, Hyeong-Seok Choi, Kyogu Lee, “Exploring Aligned Lyrics-Informed Singing Voice Separation”, in Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), 2020
Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo, Yujin Jo, Kyogu Lee, “Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer’s Dementia Recognition”, in Proceedings of INTERSPEECH, 2020
Wansoo Kim, Kyogu Lee, “DIGITAL WATERMARKING FOR PROTECTING AUDIO CLASSIFICATION DATASETS”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Juheon Lee, Hyeong-Seok Choi, Junghyun Koo, and Kyogu Lee, “DISENTANGLING TIMBRE AND SINGING STYLE WITH MULTI-SINGER SINGINGSYNTHESIS SYSTEM”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Hyeong-Seok Choi, Changdae Park, and Kyogu Lee, “From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech”, in Proceedings of International Conference on Learning Representations (ICLR), 2020
2019
Jie Hwan Lee, Hyeong-Seok Choi, and Kyogu Lee, “Audio query-based music source separation”, in Proceedings of International Society for Music Information Retrieval Conference (ISMIR), 2019
Juheon Lee, Seohyun Kim, and Kyogu Lee, “Automatic Choreography Generation with Convolutional Encoder-decoder Network”, in Proceedings of International Society for Music Information Retrieval Conference (ISMIR), 2019
Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Kyogu Lee, and Juhan Nam, “A Hierarchical RNN-based System for Modeling Expressive Piano Performance”, in Proceedings of International Society for Music Information Retrieval Conference (ISMIR), 2019
Juheon Lee, Hyeong-Seok Choi, Chang-bin Jeon, Junghyun Koo, and Kyogu Lee, “Adversarially Trained End-to-end Korean Singing Voice Synthesis System”, in Proceedings of Interspeech, 2019, Best Student Paper Award
Donmoon Lee, Jaejun Lee, Jeongsoo Park, and Kyogu Lee, “Enhancing Music Features by Knowledge Transfer from User-item Log Data”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Sungkyun Chang, Seungjin Lee, and Kyogu Lee, “Sequential Skip Prediction with Few-shot in Streamed Music Contents”, WSDM Cup Workshop, 12th ACM International Conference on Web Search and Data Mining, Melbourne Australia, 2019
Jeong-Whun Kim, Taehoon Kim, Jaeyoung Shin, Goun Choe, Hyun Jung Lim, Chae-Seo Rhee, Kyogu Lee, and Sung-Woo Cho, “Prediction of Obstructive Sleep Apnea Based on Respiratory Sounds Recorded Between Sleep Onset and Sleep Offset”, Clinical and Experimental Otorhinolaryngology, Vol. 12, No. 1: 72-78, February 2019
2018
Wansoo Kim, Gwang Seok An and Kyogu Lee,”Detecting Abnormal Sound Events Using 4-channel Microphone Array and Deep Learning”, 음성통신 및 신호처리 학술대회, 한국음향학회, 2018
Wansoo Kim and Kyogu Lee, “Sound Event Localization and Detection Using Modular Neural Network Structure”, 대한전자공학회 추계 학술대회, 대한전자공학회, 2018
Jaejun Lee, Wansoo Kim, and Kyogu Lee, “Convolutional neural network-based traffic sound classification robust to environmental noise”, 한국음향학회지, 37(26), pp. 469-474, 2018
Hyeong-Seok Choi, Juheon Lee, and Kyogu Lee, “SPEC2SPEC: TOWARDS THE GENERAL FRAMEWORK OF MUSIC PROCESSING USING GENERATIVE ADVERSARIAL NETWORKS”, in Proceedings of the International Symposium on Universal Acoustical Communication, 2018
Seungjin Lee, Juheon Lee, and Kyogu Lee, “Content-based feature exploration for transparent music recommendation using self-attentive genre classification”, in Proceedings of The ACM Recommender Systems conference (RecSys), 2018
Sungheon Park, Taehoon Kim, Kyogu Lee, and Nojun Kwak, “MUSIC SOURCE SEPARATION USING STACKED HOURGLASS NETWORKS”, in Proceedings of International Society for Music Information Retrieval Conference (ISMIR), 2018
Minho Lee, Kyogu Lee, Mihee Lee, and Jaeheung Park, “Dance motion generation by recombination of body parts from motion source”, Intelligent Service Robotics, Volume 11, Issue 2, pp. 139–148, 2018
Juheon Lee, Sungkyun Chang, Sangkeun Choe, and Kyogu Lee, “COVER SONG IDENTIFICATION USING SONG-TO-SONG CROSS-SIMILARITY MATRIX WITH CONVOLUTIONAL NEURAL NETWORK”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Taehoon Kim, Jeong-Whun Kim, and Kyogu Lee, “Detection of Sleep Disordered Breathing Severity Using Acoustic Biomarker and Machine Learning Techniques”, BioMedical Engineering OnLine, 17(1):16, doi: 10.1186/s12938-018-0448-x, 2018
Kidong Kim, Soyeon Ahn, Banghyun Lee, Kibeom Lee, Sooyoung Yoo, Kyogu Lee, Dong Hoon Suh, Jae Hong No, Yong Beom Kim, “Factors associated with patients’ choice of physician in the Korean population: Database analyses of a tertiary hospital”, PLoS One, 13(1):e0190472. doi: 10.1371/journal.pone.0190472, 2018
2017
Wansoo Kim and Kyogu Lee,“Abnormal Sound Event Detection Using Auditory Transition Feature and 1D CNN”, 전자정보통신 학술대회,대한전자공학회, 2017
Hyeong-seok Choi, Juheon Lee and Kyogu Lee, “Singing Voice Separation using Generative Adversarial Networks”, NIPS Machine Learning for Audio (ML4Audio) Workshop, 2017
Sungkyun Chang, Juheon Lee, Sang Keun Choe and Kyogu Lee, “Audio Cover Song Identification using Convolutional Neural Network”, NIPS Machine Learning for Audio (ML4Audio) Workshop, 2017
Hyungui Lim, Jeongsoo Park, Kyogu Lee and Yoonchang Han, “RARE SOUND EVENT DETECTION USING 1D CONVOLUTIONAL RECURRENT NEURAL NETWORKS”, Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, 2017
Donmoon Lee, Subin Lee, Yoonchang Han and Kyogu Lee, “ENSEMBLE OF CONVOLUTIONAL NEURAL NETWORKS FOR WEAKLY-SUPERVISED SOUND EVENT DETECTION USING MULTIPLE SCALE INPUT”, Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, 2017
Il-Young Jeong, Subin Lee, Yoonchang Han and Kyogu Lee, “AUDIO EVENT DETECTION USING MULTIPLE-INPUT CONVOLUTIONAL NEURAL NETWORK”, Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, 2017
Yoonchang Han, Jeongsoo Park and Kyogu Lee, “CONVOLUTIONAL NEURAL NETWORKS WITH BINAURAL REPRESENTATIONS AND BACKGROUND SUBTRACTION FOR ACOUSTIC SCENE CLASSIFICATION”, Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, 2017
Sungkyun Chang, Kyogu Lee, “Lyrics-to-audio alignment by unsupervised discovery of repetitive patterns in vowel acoustics”, IEEE Access, Vol. 5, pp. 16635 – 16648, 2017
Hyungui Lim, Seungyeon Rhyu and Kyogu Lee, “CHORD GENERATION FROM SYMBOLIC MELODY USING BLSTM NETWORKS”, in Proceedings of International Society for Music Information Retrieval Conference (ISMIR), 2017
Hoon Heo, Hyunwoo Kim, Wan Soo Kim and Kyogu Lee, “Cover Song Identification with Metric Learning Using Distance as a Feature”, in Proceedings of International Society for Music Information Retrieval Conference (ISMIR), 2017
Sooyeon Yoo, Kyogu Lee, “A Data-driven Approach to Identifying Music Listener Groups based on Users’ Playrate Distributions of Listening Events”, in Proceedings of International Conference on User Modelling, Adaptation and Personalization (UMAP), 2017
Ziwon Hyung, Joon-Sang Park and Kyogu Lee, “Utilizing Context-Relevant Keywords Extracted from Large Collections of User-Generated Documents for Music Discovery”, Information Processing & Management, Vol. 53, No. 5, pp. 1185-1200, 2017
Jeongsoo Park, Jaeyoung Shin and Kyogu Lee, “Exploiting Continuity/Discontinuity of Basis Vectors in Spectrogram Decomposition for Harmonic-Percussive Sound Separation”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 25, No. 5, pp. 1061-1074, May, 2017.
Hoon Heo and Kyogu Lee, “Robust Singing Transcription System Using Local Homogeneity in the Harmonic Structure”, IEICE Transactions on Information and Systems, Vol. 100, No. 5, pp. 1114-1123, 2017
Jaepil Kim, Taehoon Kim, Donmoon Lee, Jeong-Whun Kim and Kyogu Lee, “Exploiting temporal and nonstationary features in breathing sound analysis for multiple obstructive sleep apnea severity classification”, BioMedical Engineering Online, Vol. 16, No. 1, 2017
Il-Young Jeong and Kyogu Lee, “Singing voice separation using RPCA with weighted l1-norm”, in Proc. of International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), Grenoble, France, pp. 553-562, 2017.
Yoonchang Han, Jaehun Kim, Kyogu Lee, “Deep convolutional neural networks for predominant instrument recognition in polyphonic music”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 25(1), pp. 208-221, 2017
2016
Yong-Hwi An, Sungjun Han, Minhyung Lee, Jihye Rhee, O-Ki Kwon, Gyojun Hwang, Cheolkyu Jung, Yun Jung Bae, Gwang Seok An, Kyogu Lee, Ja-Won Koo, Jae-Jin Song, “Dural arteriovenous fistula masquerading as pulsatile tinnitus: radiologic assessment and clinical implications”, Scientific Reports, 6, doi:10.1038/srep36601, 2016
Hyunchul Lim, Gwang Seok An, Yoonkyong Cho, Kyogu Lee, and Bongwon Suh, “WhichHand: Automatic Recognition of a Smartphone’s Position in the Hand Using a Smartwatch”, in Proc. of ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), pp. 675-681, Florence, Italy, 2016
Kidong Kim, Suyeon Jeong, Kyogu Lee, Hyeoun-Ae Park, Yul Ha Min, Joo Yun Lee, Yekyung Kim, Sooyoung Yoo, Gippeum Doh, and Soyeon Ahn, “Metrics for Electronic-Nursing-Record-Based Narratives: Cross-sectional Analysis”, Applied Clinical Informatics, 7(4), pp. 1107-1119, 2016
Shin Hye Kim, Gwang Seok An, Inyong Choi, Ja-Won Koo, Kyogu Lee, and Jae-Jin Song, “Pre-treatment objective diagnosis and post-treatment outcome evaluation in patients with vascular pulsatile tinnitus using transcanal recording and spectro-temporal analysis”, PLoS ONE, 11(6), doi: 10.1371/journal.pone.0157722, 2016
Jaepil Kim, Taehoon Kim, Jeong-Whun Kim, and Kyogu Lee, “An Investigation of the Snoring Sound Classification Using the Cyclostationary Attributes”, in Proc. of International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016
Il-Young Jeong and Kyogu Lee, “Learning temporal features using a deep neural network and its application to music genre classification”, in Proc. of International Society for Music Information Retrieval Conference (ISMIR), pp. 434-440, New York, NY.
Jongkyu Shin, Gwangseok An, Joon-Sang Park, Seung Jun Baek, Kyogu Lee, “Application of Precise Indoor Position Tracking to Immersive Virtual Reality with Translational Movement Support”, Multimedia Tools and Applications, 75(20), pp. 12331-12350, 2016
Jaepil Kim, Taehoon Kim, Jeong-Whun Kim, and Kyogu Lee, “CYCLOSTATIONARITY-BASED ANALYSIS OF NOCTURNAL RESPIRATION SOUNDS”, in Proc. of International Congress on Sound and Vibration (ICSV), Athens, Greece, 2016
Yeoeun Lim, Seung-yeon Rhyu, Kyung Myun Lee, Kyogu Lee, Jonghwa Park and Suk Won Yi, “Does preliminary listening influence sight-reading performance?”, in Proceedings of International Conference on Music Perception and Cognition (ICMPC), San Francisco, USA, 2016
Kyung Myun Lee, Kyogu Lee and Il Joon Moon, “Brainstem and cortical responses to sounds presented on the strong and weak beats”, in Proceedings of International Conference on Music Perception and Cognition (ICMPC), San Francisco, USA, 2016
Yoonchang Han , Subin Lee , Juhan Nam , Kyogu Lee, “Sparse feature learning for instrument identification: effects of sampling and pooling methods”, Journal of the Acoustical Society of America, 139(5), pp. 2290-2298, 2016
Jae-Jin Song, Gwang Seok An, Inyong Choi, Dirk De Ridder, So Young Kim, Hyun Seok Choi, Joo Hyun Park, Byung Yoon Choi, Ja-Won Koo, Kyogu Lee, “Objectification and differential diagnosis of vascular pulsatile tinnitus by transcanal sound recording and spectro-temporal analysis: a preliminary study”, Otology and Neurotology, 37, pp. 613-620, 2016
Yoonchang Han, Kyogu Lee, “Detecting fingering of overblown flute sound using sparse feature learning”, EURASIP Journal on Audio, Speech, and Music Processing, 2016:2, pp. 1-10, 2016
Kim CS, Kim SY, Choi HS, Koo JW, Yoo SY, An GS, Lee K, Choi IY, Song JJ, “Transmastoid reshaping of the sigmoid sinus: preliminary study of a novel surgical method to quiet pulsatile tinnitus of an unrecognized vascular origin”, Journal of Neurosurgery, 125(2), pp.441-449, 2016
2015
Hoon Heo, Hyungui Lim, Kyogu Lee, “PERIODICITY ANALYSIS BY SAMPLING IN THE TIME/FREQUENCY DOMAIN FOR PITCH TRACKING”, in Proceedings of The Acoustical Society of Korea Fall Conference, Gangwon University, November 12-13, 2015
Taehyun Kim, Hyesue Jang, Jongwoo Hong, Kayoung Kim, Subin Lee, Jeongsoo Park, Yoonchang Han, Soyune Kim, Jin Yeong Choe, Ji Won Han, Kyogu Lee, Ki Woong Kim, “Development Of A Diagnostic Marker For Depression Using Acoustic Features Of Voice In The Elderly; A Pilot Study”, International Psychogeriatric Association (IPA) International Congress, 2015
Jeongsoo Park, Kyogu Lee, “Harmonic-Percussive Source Separation Using Harmonicity and Sparsity Constraints”, Proceedings of International Society for Music Information Retrieval Conference (ISMIR), pp. 148-154, Malaga, Spain, 2015
Lee KM, Barrett KC, Kim Y, Lim Y, Lee K, “Dance and Music in “Gangnam Style”: How Dance Observation Affects Meter Perception”, PLoS ONE 10(8): e0134725. doi: 10.1371/journal.pone.0134725
Kibeom Lee, Sangmin Lee and Kyogu Lee, “In Search of User Features for Identifying Different Inspection Behaviors on Recommended Items”, Proceedings of KDD 2015 Workshop on Interactive Data Exploration and Analytics (IDEA’15), pp. 56-62, Sydney, Australia, 2015.
Gunhyuk Park, Yongjae Yoo, Seungmoon Choi, Changdo Song, Minjoo Cho, Giuyeol Kim, Jaehun Kim, Sangmin Lee, and Kyogu Lee, “TouchMusic: Music Experience System for the Hearing-Impaired,” Demonstrated in the IEEE World Haptics Conference (WHC), 2015
Il-Young Jeong and Kyogu Lee, “Informed Source Separation From Monaural Music With Limited Binary Time-frequency Annotation”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 489-493, Brisbane, Australia, 2015
Yongki Park, Jaehoon Kim and Kyogu Lee, “Effects of Auditory Feedback on Menu Selection in Hand-Gesture Interfaces”, IEEE MultiMedia Magazine, vol 22, Issue 1, pp. 32-40, 2015
Kibeom Lee and Kyogu Lee, “Escaping your comfort zone: A graph-based recommender system for finding novel recommendations among relevant items”, Expert Systems with Applications, Volume 42, Issue 10, Pages 4851-4858, 15 June 2015
Yongki Park, Hoon Heo and Kyogu Lee, “Enhanced auditory feedback for Korean touch screen keyboards”, International Journal of Human-Computer Studies, vol 73, pp. 1–11, 2015
2014
Choi I, L Wang, HM Bharadwaj, S Bressler, P Loui, K Lee, and BG Shinn-Cunningham (2014). “Automatic processing of musical tonality,” Frontiers in Human Neuroscience, 8, doi: 10.3389/fnhum.2014.00988
Il-Young Jeong and Kyogu Lee, “Vocal Separation from Monaural Music Using Temporal/Spectral Continuity and Sparsity Constraints”, IEEE Signal Processing Letters, Vol 21, Issue 10, pp. 1197-1200, 2014
Kibeom Lee and Kyogu Lee, “Using Dynamically Promoted Experts for Music Recommendation”, IEEE Transactions on Multimedia, vol 16, Issue 5, pp. 1201-1210, 2014
Ziwon Hyung, Kibeom Lee and Kyogu Lee, “Music Recommendation Using Text Analysis on Song Requests to Radio Stations”, Expert Systems with Applications, vol 41, Issue 5, pp. 2608-2618, 2014
Kyogu Lee, “Application of Non-negative Spectrogram Decomposition with Sparsity Constraints to Single-channel Speech Enhancement”, Speech Communication, vol 58, pp. 69-80, 2014.
Jongkyu Shin, Gwangseok An and Kyogu Lee, “Integration of a Precise Indoor Position Tracking Algorithm with an HMD-Based Virtual Reality System”, Immersive Media Experiences 2014 ACM International Workshop at ACM Multimedia 2014, Orlando, USA, 2014
Yoonchang Han and Kyogu Lee, “Hierarchical Approach To Detect Common Mistakes Of Beginner Flute Players”, International Society for Music Information Retrieval Conference (ISMIR), Taipei, Taiwan, 2014
Il-Young Jeong and Kyogu Lee, “Vocal Separation Using Extended Robust Principal Component Analysis With Schatten P/Lp-Norm And Scale Compression”, 2014 IEEE International Workshop On Machine Learning For Signal Processing (MLSP), Reims, France, 2014
Dooyong Sung and Kyogu Lee, “Transcribing Frequency Modulated Musical Expressions from Polyphonic Music using HMM Constrained Shift”, International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), Kitakyushu, Japan, 2014
Sungkyun Chang and Kyogu Lee, “Saliency-driven Model For Perceptual Audio Onset Detection”, in Proc. of the 13th International Conference on Music Perception and Cognition (ICMPC), pp. 279, Seoul, Korea, 2014
Taehoon Kim and Kyogu Lee, “Reducing Octave Errors in Tempo Estimation by Employing Harmonic Content Changes”, International Congress on Sound and Vibration (ICSV), Beijing, China, 2014
Jeongsoo Park and Kyogu Lee, “Separation of Monophonic Music Signal Based on User-Guided Onset Information”, International Congress on Sound and Vibration (ICSV), Beijing, China, 2014
Yekyung Kim, Bongwon Suh and Kyogu Lee, “#Nowplaying The Future Billboard: Mining Music Listening Behaviors Of Twitter Users For Hit Song Prediction”, International Workshop on Social Media Retrieval and Analysis, Gold Coast, Australia, 2014
Sungkyun Chang and Kyogu Lee, “A Pairwise Approach to Simultaneous Onset/Offset Detection for Singing Voice using Correntropy”, International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, 2014.
2013
Myoungwoo Nam , Kyogu Lee, and Alexander U. Case. “Designing a stackable diffusor/absorber tailored to a violin and cello practice room.” The Journal of the Acoustical Society of America Vol.133, Issue 5, pp.3347, 2013
Minho Lee, Kyogu Lee and Jaeheung Park, “Music similarity-based approach to generating dance motion sequence”, Multimedia Tools and Applications, Vol. 65, No. 3, pp. 895-912, 2013
Jongkyu Shin, Kibeom Lee and Kyogu Lee, “Mudio: A Museum Guide System Using Inaudible High Frequencies in Mobile Devices”, International Conference on Museums and the Web ASIA, Hong Kong, 2013
Eunjeong Ko and Kyogu Lee, “Using Music Notation for Teaching Computer Programming”, International Congress on Computers in Education (ICCE), Denpasar Bali, Indonesia, 2013
Juhan Nam, Ziwon Hyung and Kyogu Lee, “Acoustic Scene Classification Using Sparse Feature Learning and Selective Max-Pooling by Event Detection”, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, New York, U.S.A, 2013
Hoon Heo, Dooyong Sung and Kyogu Lee, “Note Onset Detection based on Harmonic Cepstrum Regularity”, IEEE International Conference on Multimedia and Expo (ICME), San Jose, California, U.S.A., 2013
Gibeom Park and Kyogu Lee, “Sound Spray: Can-shaped Sound Effect Device”, International Conference on New Interfaces for Musical Expression (NIME), Daejeon, Korea, 2013, pp. 65-68
Yoonchang Han, Sejun Kwon, Kibeom Lee, and Kyogu Lee, “A musical performance evaluation system for beginner musician based on real-time score following,” in Proceedings of the International Conference on New Interfaces for Musical Expression (NIME), Daejeon, Korea, 2013, pp. 120-121
Dooyong Sung, Nara Han and Kyogu Lee, “Individualized HRTFs Simulation Using Multiple Source Ray Tracing Method”, in Proc of the 49th International Conference on Audio for Games, Audio Engineering Society, London, United Kingdom, 2013
Hanwook Chung, Hoon Heo, Dooyong Sung, Yoonchang Han and Kyogu Lee, “Modeling and Real-Time Generation of Pen Stroke Sounds for Tactile Devices”, in Proc. of the 49th International Conference on Audio for Games, Audio Engineering Society , London, United Kingdom, 2013
정일영, 이교구, “반복적 마스킹을 이용한 NMF 기반 비지도 드럼 채보”, 제 26회 신호처리합동학술대회, 한국통신학회, 2013
2012
Jaeho Choi, Myoung woo Nam and Kyogu Lee, “Automatic Speaker Delay Adjustment System Using Wireles-s Audio Capability of Zigbee Networks”, The 133rd Audio Engineering Society (AES) Convention, San Francisco, USA, 2012
Ziwon Hyung, MyoungA Lee and Kyogu Lee, “Music Recommendation Based on Text Mining”, The 2nd International Conference on Advances in Information Management and Mining, Venice, Italy, 2012
Myoung W. Nam, Yong-tae Hwang and Kyogu Lee, “Estimating Traffic Soundscape of a City by Bus Information System: in case of Seoul”, International Conference on Sound and Vibration, Vilnius, Lithuania, 2012
Yoonchang Han, Jinsoo Na and Kyogu Lee, “FutureGrab: A wearable musical instrument based on mouth shape and vowel pronunciation”, The 12th Intl’ Conference on New Interfaces for Musical Expression (NIME), University of Michigan in Ann Arbor, USA, 2012
Yongki Park, Hoon Heo and Kyogu Lee, “VOICON: An Interactive Gestural Microphone For Vocal Performance”, The 12th Intl’ Conference on New Interfaces for Musical Expression (NIME), University of Michigan in Ann Arbor, USA, 2012.
2011
Souhwan Choe, Yongtae Hwang, Sungkyun Chang and Mikyoung Kim, “The Korean Traditional Music Ontology (KTMO) – An Ontology for the Korean Traditional Music Linked Data”, The 3rd International Conference on Internet (ICONI 2011), Sepang, Malaysia, 2011
Kyogu Lee and Minsu Cho, “Mood Classification from Musical Audio Using User Group-dependent Models”, in Proc. of the International Conference on Machine Learning and Applications (ICMLA), vol.2, pp. 130-135, Honolulu, Hawaii, USA, 2011
Kibeom Lee and Kyogu Lee, “My Head is Your Tall : Applying Link Analysis on Long-Tailed Music Listening Behavior for Music Recommendation”, in Proc. of the 5th ACM conference on Recommender Systems, pp. 213-220, Chicago, USA, 2011
Souhwan Choe and Kyogu Lee, “Towards a Web Application Framework for Composition and Documentation of Soundscape”, in Proc. of the New Interfaces for Musical Expression (NIME), pp. 533-534, Oslo, Norway, 2011
Sungkyun Chang, Hyunwoo Kim and Kyogu Lee, “Interpretation of Tonal Pitch Space in Music Signals: Theoretical Framework and Preliminary Experiments”, 한국전자음악회 추계학술대회 논문집, 2011
남명우, 이교구, “바이올린과 첼로의 포만트와 그 형태 분석”, 제 35회 한국정보처리학회 춘계학술대회, 한국음향학회, 2011
한병준, 이교구, 노승민, 황인준, “확률적 은닉 성분 분석 및 음향 기술자를 사용한 내용 기반 음악 요소 검색 방법”, 음성통신 및 신호처리 학술대회, 한국정보처리학회, 2011.
2010
이장우, 김현우, 이교구, “오디오신호의 음계변조를 이용한 음악스타일 변환방법”, 컴퓨터음악저널 에밀레, 8호, 25-31, 2010
Kibeom Lee, Woon-Seung Yeo and Kyogu Lee, “Music Recommendation in the Personal Long Tail: Using a Social-based Analysis of a User’s Long-Tailed Listening Behavior”, ACM International Workshop on Music Recommendation and Discovery, Barcelona, Spain, 2010
Juhan Nam, Gautham J.Mysore, Joachim Ganseman ,Kyogu Lee and Jonathan S. Abel, “A Super-Resolution Spectrogram Using Coupled PLCA”, 11th Annual Conference of the International Speech Communication Association, 2010
한병준, 이장우, 이교구, “Percussion Source Separation Based on Clustering of Probabilistic Latent Components”, 대한전자공학회 추계종합학술대회, 대한전자공학회, 2010
한병준, 김연주, 이장우, 김민제, 이교구, “A Drum Onset Detection Scheme Based on Probabilistic Latent Component Analysis”, 한국 정보처리학회 추계학술대회, 한국정보처리학회, 2010
김현우, 한병준, 김철환, 이교구, “A Content-based Music Similarity Retrieval System”, 한국 정보처리학회 추계학술대회, 한국정보처리학회, 2010
이교구, 조민수, “User Group-Dependent Music Mood Classification System”, 한국 음향학회 추계학술대회, 한국음향학회, 2010
2009
Ching-Wei Chen, Kyogu Lee and Ho-Hsiang Wu, “Towards a Class-Based Representation of Perceptual Tempo for Music Retrieval”, in Proceedings of International Conference on Machine Learning and Applications (ICMLA), 2009
Kyogu Lee and Markus Cremer, “Automatic Labeling of Training Data for Singing Voice Detection in Musical Audio”, in Proceedings of International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA), 2009
Ching-Wei Chen, Markus Cremer, Kyogu Lee, Peter DiMaria and Ho-Hsiang Wu, “Improving Perceived Tempo Estimation by Statistical Modeling of Higher-Level Musical Descriptors”, Audio Engineering Society Convention Paper, 2009
Kyogu Lee and Markus Cremer, “Automatic Labeling of Training Data for Singing Voice Detection in Musical Audio”, in Proceedings of International Conference on Signal Processing, Pattern Recognition and Applications, 2009
2008
Kyogu Lee and Malcolm Slaney, “Acoustic Chord Transcription and Key Extraction from Audio Using Key-Dependent HMMs Trained on Synthesized Audio”, IEEE Transactions on Audio, Speech and Language Processing, Volume 16, Issue 2, pp. 291-301, 2008
Kyogu Lee and Markus Cremer, “Segmentation-based Lyrics-Audio Alignment Using Dynamic Programming”, in Proceedings of International Conference on Music Information Retrieval (ISMIR), 2008
2007
Kyogu Lee and Malcolm Slaney, “A Unified System for Chord Transcription and Key Extraction Using Hidden Markov Models”, in Proceedings of International Conference on Music Information Retrieval, 2007
Kyogu Lee, “A System for Automatic Chord Transcription Using Genre-Specific Hidden Markov Models”, in Proceedings of International Workshop on Adaptive Multimedia Retrieval, 2007
2006
Kyogu Lee and Malcolm Slaney, “Automatic Chord Recognition from Audio Using a Supervised HMM Trained with Audio-from-Symbolic Data”, in Proceedings of Workshop on Audio and Music Computing for Multimedia in conjunction with ACM Multimedia, 2006
Kyogu Lee and Malcolm Slaney, “Automatic Chord Recognition Using an HMM with Supervised Learning”, in Proceedings of International Conference on Music Information Retrieval (ISMIR), 2006
Kyogu Lee, “Automatic Chord Recognition Using Enhanced Pitch Class Profile”, in Proceedings of International Computer Music Conference (ICMC), 2006
2005
Kyogu Lee and Minjong Kim, “Estimating the Amplitude of the Cubic Difference Tone Using a Third-Order Adaptive Volterra”, in Proceedings of International Conference on Digital Audio Effects (DAFx), 2005
Kyogu Lee, Greg Sell and Jonathan Berger, “Sonification Using Digital Waveguide And 2- and 3-Dimensional Digital Waveguide Mesh”, in Proceedings of International Conference on Auditory Display, 2005
Aaron Master and Kyogu Lee, “Explicit Onset Modeling Using Time Reassignment”, in IEEE Proceedings of International Conference (ICASSP), pp. 221-224, 2005
2004
Kyogu Lee and Julius Smith, “Implementation of a Highly Diffusing 2-D Digital Waveguide Mesh with a Quadratic Residue Diffuser”, PICMC’04, 2004
Ryan Cassidy, Jonathan Berger and Kyogu Lee, “Analysis of hyperspectral colon tissue images using vocal synthesis models”, IEEE Asilomar Conference’04, pp. 1611-1615, 2004
Ryan Cassidy, Jonathan Berger and Kyogu Lee, “Auditory Display of Hyperspectral Colon Tissue Images Using Vocal Synthesis Models”, ICAD’04, 2004