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ORCIDJuhan Nam
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- affiliation: KAIST, Music and Audio Computing Lab, Republic of Korea
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2020 – today
- 2024
[c59]Haven Kim, Jongmin Jung, Dasaem Jeong, Juhan Nam:
K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling. LREC/COLING 2024: 9974-9987- [c58]Seungheon Doh, Minhee Lee, Dasaem Jeong, Juhan Nam:
Enriching Music Descriptions with A Finetuned-LLM and Metadata for Text-to-Music Retrieval. ICASSP 2024: 826-830 - [c57]Jiyun Park, Sangeon Yong, Taegyun Kwon, Juhan Nam:
A Real-Time Lyrics Alignment System Using Chroma and Phonetic Features for Classical Vocal Performance. ICASSP 2024: 1371-1375 - [c56]Yoonjin Chung, Junwon Lee, Juhan Nam:
T-Foley: A Controllable Waveform-Domain Diffusion Model for Temporal-Event-Guided Foley Sound Synthesis. ICASSP 2024: 6820-6824 - [c55]Jaekwon Im, Juhan Nam:
DiffRENT: A Diffusion Model for Recording Environment Transfer of Speech. ICASSP 2024: 7425-7429 - [c54]Hounsu Kim, Soonbeom Choi, Juhan Nam:
Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting. ICASSP 2024: 7620-7624 - [c53]Wootaek Lim, Juhan Nam:
Enhancing Spatial Audio Generation with Source Separation and Channel Panning Loss. ICASSP 2024: 8321-8325 - [c52]Yeonghyeon Lee, Inmo Yeon, Juhan Nam, Joon Son Chung:
VoiceLDM: Text-to-Speech with Environmental Context. ICASSP 2024: 12566-12571 - [i52]Jaekwon Im, Juhan Nam:
DIFFRENT: A Diffusion Model for Recording Environment Transfer of Speech. CoRR abs/2401.08102 (2024) - [i51]Jiyun Park, Sangeon Yong, Taegyun Kwon, Juhan Nam:
A Real-Time Lyrics Alignment System Using Chroma And Phonetic Features For Classical Vocal Performance. CoRR abs/2401.09200 (2024) - [i50]Yoonjin Chung, Junwon Lee, Juhan Nam:
T-FOLEY: A Controllable Waveform-Domain Diffusion Model for Temporal-Event-Guided Foley Sound Synthesis. CoRR abs/2401.09294 (2024) - [i49]Hounsu Kim, Soonbeom Choi, Juhan Nam:
Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting. CoRR abs/2401.13498 (2024) - [i48]Taegyun Kwon, Dasaem Jeong, Juhan Nam:
Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models. CoRR abs/2404.06818 (2024) - [i47]Seungheon Doh, Jongpil Lee, Dasaem Jeong, Juhan Nam:
Musical Word Embedding for Music Tagging and Retrieval. CoRR abs/2404.13569 (2024) - [i46]Gyubin Lee, Hounsu Kim, Junwon Lee, Juhan Nam:
CONMOD: Controllable Neural Frame-based Modulation Effects. CoRR abs/2406.13935 (2024) - [i45]Junwon Lee, Jaekwon Im, Dabin Kim, Juhan Nam:
Video-Foley: Two-Stage Video-To-Sound Generation via Temporal Event Condition For Foley Sound. CoRR abs/2408.11915 (2024) - 2023
- [j10]Zhiyao Duan
, Peter van Kranenburg, Juhan Nam, Preeti Rao:
Editorial for TISMIR Special Collection: Cultural Diversity in MIR Research. Trans. Int. Soc. Music. Inf. Retr. 6(1): 203-205 (2023) - [c51]Yuya Yamamoto, Juhan Nam, Hiroko Terasawa:
PrimaDNN': A Characteristics-Aware DNN Customization for Singing Technique Detection. EUSIPCO 2023: 406-410 - [c50]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Textless Speech-to-Music Retrieval Using Emotion Similarity. ICASSP 2023: 1-5 - [c49]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Toward Universal Text-To-Music Retrieval. ICASSP 2023: 1-5 - [c48]Hyemi Kim, Jiyun Park, Taegyun Kwon, Dasaem Jeong, Juhan Nam:
A Study of Audio Mixing Methods for Piano Transcription in Violin-Piano Ensembles. ICASSP 2023: 1-5 - [c47]Sangeon Yong, Li Su, Juhan Nam:
A Phoneme-Informed Neural Network Model For Note-Level Singing Transcription. ICASSP 2023: 1-5 - [c46]Eugene Hwang, Joonhyung Bae, Wonil Kim, Juhan Nam, Jeongmi Lee:
Sense of Convergence: Exploring the Artistic Potential of Cross-modal Sensory Transfer in Virtual Reality. ISMAR-Adjunct 2023: 722-726 - [c45]Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam:
LP-MusicCaps: LLM-Based Pseudo Music Captioning. ISMIR 2023: 409-416 - [c44]Haven Kim, Kento Watanabe, Masataka Goto, Juhan Nam:
A Computational Evaluation Framework for Singable Lyric Translation. ISMIR 2023: 774-781 - [c43]Vanessa Tan, Junghyun Nam, Juhan Nam, Junyong Noh:
Motion to Dance Music Generation using Latent Diffusion Model. SIGGRAPH Asia Technical Communications 2023: 5:1-5:4 - [c42]Taejun Kim, Juhan Nam:
All-in-One Metrical and Functional Structure Analysis with Neighborhood Attentions on Demixed Audio. WASPAA 2023: 1-5 - [i44]Haven Kim, Seungheon Doh, Junwon Lee, Juhan Nam:
Music Playlist Title Generation Using Artist Information. CoRR abs/2301.08145 (2023) - [i43]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Textless Speech-to-Music Retrieval Using Emotion Similarity. CoRR abs/2303.10539 (2023) - [i42]Sangeon Yong, Li Su, Juhan Nam:
A Phoneme-Informed Neural Network Model for Note-Level Singing Transcription. CoRR abs/2304.05917 (2023) - [i41]Hyemi Kim, Jiyun Park, Taegyun Kwon, Dasaem Jeong, Juhan Nam:
A study of audio mixing methods for piano transcription in violin-piano ensembles. CoRR abs/2305.13758 (2023) - [i40]Yuya Yamamoto, Juhan Nam, Hiroko Terasawa:
PrimaDNN': A Characteristics-aware DNN Customization for Singing Technique Detection. CoRR abs/2306.14191 (2023) - [i39]Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam:
LP-MusicCaps: LLM-Based Pseudo Music Captioning. CoRR abs/2307.16372 (2023) - [i38]Haven Kim, Kento Watanabe, Masataka Goto, Juhan Nam:
A Computational Evaluation Framework for Singable Lyric Translation. CoRR abs/2308.13715 (2023) - [i37]Haven Kim, Jongmin Jung, Dasaem Jeong, Juhan Nam:
K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling. CoRR abs/2309.11093 (2023) - [i36]Yeonghyeon Lee, Inmo Yeon, Juhan Nam, Joon Son Chung:
VoiceLDM: Text-to-Speech with Environmental Context. CoRR abs/2309.13664 (2023) - [i35]Ilaria Manco, Benno Weck, Seungheon Doh, Minz Won, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, György Fazekas, Juhan Nam:
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. CoRR abs/2311.10057 (2023) - 2022
- [c41]Joonhyung Bae, Karam Eum, Haram Kwon, Seolhee Lee, Juhan Nam, Young Yim Doh:
Classy Trash Monster: An Educational Game for Teaching Machine Learning to Non-major Students. CHI Extended Abstracts 2022: 479:1-479:7 - [c40]Haven Kim, Jaeran Choi, Young Yim Doh, Juhan Nam:
The Melody of the Mysterious Stones: A VR Mindfulness Game Using Sound Spatialization. CHI Extended Abstracts 2022: 481:1-481:6 - [c39]Jinwook Kim, Pooseung Koh, Seokjun Kang, Hyunyoung Jang, Jeongmi Lee, Juhan Nam, Young Yim Doh:
Seung-ee and Kkaebi: A VR-Mobile Cross Platform Game based on Co-Presence for a Balanced Immersive Experience. CHI PLAY 2022: 273-278 - [c38]Sangeun Kum, Jongpil Lee, Keunhyoung Luke Kim, Taehyoung Kim, Juhan Nam:
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music. ICASSP 2022: 796-800 - [c37]Soonbeom Choi, Juhan Nam:
A Melody-Unsupervision Model for Singing Voice Synthesis. ICASSP 2022: 7242-7246 - [c36]Yuya Yamamoto, Juhan Nam, Hiroko Terasawa:
Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification. INTERSPEECH 2022: 2778-2782 - [c35]Eunjin Choi, Yoonjin Chung, Seolhee Lee, JongIk Jeon, Taegyun Kwon, Juhan Nam:
YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations. ISMIR 2022: 100-108 - [c34]Yuya Yamamoto, Juhan Nam, Hiroko Terasawa:
Analysis and detection of singing techniques in repertoires of J-POP solo singers. ISMIR 2022: 384-391 - [i34]Sangeun Kum, Jongpil Lee, Keunhyoung Luke Kim, Taehyoung Kim, Juhan Nam:
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music. CoRR abs/2203.13422 (2022) - [i33]Yuya Yamamoto, Juhan Nam, Hiroko Terasawa:
Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification. CoRR abs/2206.12230 (2022) - [i32]Yuya Yamamoto, Juhan Nam, Hiroko Terasawa:
Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers. CoRR abs/2210.17367 (2022) - [i31]Taesu Kim, Seungheon Doh, Gyunpyo Lee, Hyungseok Jeon, Juhan Nam, Hyeon-Jeong Suk:
Hi, KIA: A Speech Emotion Recognition Dataset for Wake-Up Words. CoRR abs/2211.03371 (2022) - [i30]Eunjin Choi, Yoonjin Chung, Seolhee Lee, JongIk Jeon, Taegyun Kwon, Juhan Nam:
YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations. CoRR abs/2211.07131 (2022) - [i29]Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam:
Toward Universal Text-to-Music Retrieval. CoRR abs/2211.14558 (2022) - [i28]Jaekwon Im, Soonbeom Choi, Sangeon Yong, Juhan Nam:
Neural Vocoder Feature Estimation for Dry Singing Voice Separation. CoRR abs/2211.15948 (2022) - [i27]Meinard Müller, Rachel M. Bittner, Juhan Nam:
Deep Learning and Knowledge Integration for Music Audio Analysis (Dagstuhl Seminar 22082). Dagstuhl Reports 12(2): 103-133 (2022) - 2021
- [c33]Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, Yuzuru Hiraga:
Investigating Time-Frequency Representations for Audio Feature Extraction in Singing Technique Classification. APSIPA ASC 2021: 890-896 - [c32]Hsiao-Tzu Hung, Joann Ching, Seungheon Doh, Nabin Kim, Juhan Nam, Yi-Hsuan Yang:
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. ISMIR 2021: 318-325 - [c31]Keunhyoung Luke Kim, Jongpil Lee, Sangeun Kum, Juhan Nam:
Learning a cross-domain embedding space of vocal and mixed audio with a structure-preserving triplet loss. ISMIR 2021: 334-341 - [c30]Taejun Kim, Yi-Hsuan Yang, Juhan Nam:
Reverse-Engineering The Transition Regions of Real-World DJ Mixes using Sub-band Analysis with Convex Optimization. NIME 2021 - [e1]Jin Ha Lee, Alexander Lerch, Zhiyao Duan, Juhan Nam, Preeti Rao, Peter van Kranenburg, Ajay Srinivasamurthy:
Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021, Online, November 7-12, 2021. 2021, ISBN 978-1-7327299-0-2 [contents] - [i26]Kyungyun Lee, Wonil Kim, Juhan Nam:
PocketVAE: A Two-step Model for Groove Generation and Control. CoRR abs/2107.05009 (2021) - [i25]Hsiao-Tzu Hung, Joann Ching, Seungheon Doh, Nabin Kim, Juhan Nam, Yi-Hsuan Yang:
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. CoRR abs/2108.01374 (2021) - [i24]Soonbeom Choi, Juhan Nam:
A Melody-Unsupervision Model for Singing Voice Synthesis. CoRR abs/2110.06546 (2021) - [i23]Seungheon Doh, Junwon Lee, Juhan Nam:
Music Playlist Title Generation: A Machine-Translation Approach. CoRR abs/2110.07354 (2021) - 2020
- [j9]Doheum Park, Juhan Nam, Juyong Park:
Novelty and influence of creative works, and quantifying patterns of advances based on probabilistic references networks. EPJ Data Sci. 9(1): 2 (2020) - [j8]Keunhyoung Luke Kim, Jongpil Lee, Sangeun Kum, Chae Lin Park, Juhan Nam:
Semantic Tagging of Singing Voices in Popular Music Recordings. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1656-1668 (2020) - [c29]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Disentangled Multidimensional Metric Learning for Music Similarity. ICASSP 2020: 6-10 - [c28]Soonbeom Choi, Wonil Kim, Saebyul Park, Sangeon Yong, Juhan Nam:
Korean Singing Voice Synthesis Based on Auto-Regressive Boundary Equilibrium Gan. ICASSP 2020: 7234-7238 - [c27]Sangeun Kum, Jing-Hua Lin, Li Su, Juhan Nam:
Semi-supervised learning using teacher-student models for vocal melody extraction. ISMIR 2020: 93-100 - [c26]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Metric learning vs classification for disentangled music representation learning. ISMIR 2020: 439-445 - [c25]Taegyun Kwon, Dasaem Jeong, Juhan Nam:
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model. ISMIR 2020: 454-461 - [c24]Taejun Kim, Minsuk Choi, Evan Sacks, Yi-Hsuan Yang, Juhan Nam:
A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment. ISMIR 2020: 764-770 - [i22]Seungheon Doh, Jongpil Lee, Tae Hong Park, Juhan Nam:
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music. CoRR abs/2008.01190 (2020) - [i21]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Disentangled Multidimensional Metric Learning for Music Similarity. CoRR abs/2008.03720 (2020) - [i20]Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Metric Learning vs Classification for Disentangled Music Representation Learning. CoRR abs/2008.03729 (2020) - [i19]Sangeun Kum, Jing-Hua Lin, Li Su, Juhan Nam:
Semi-supervised learning using teacher-student models for vocal melody extraction. CoRR abs/2008.06358 (2020) - [i18]Taejun Kim, Minsuk Choi, Evan Sacks, Yi-Hsuan Yang, Juhan Nam:
A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment. CoRR abs/2008.10267 (2020) - [i17]Taegyun Kwon, Dasaem Jeong, Juhan Nam:
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model. CoRR abs/2010.01104 (2020)
2010 – 2019
- 2019
- [j7]Hendrik Purwins, Bob L. Sturm, Bo Li, Juhan Nam, Abeer Alwan:
Introduction to the Issue on Data Science: Machine Learning for Audio Signal Processing. IEEE J. Sel. Top. Signal Process. 13(2): 203-205 (2019) - [j6]Taejun Kim, Jongpil Lee, Juhan Nam:
Comparison and Analysis of SampleCNN Architectures for Audio Classification. IEEE J. Sel. Top. Signal Process. 13(2): 285-297 (2019) - [j5]Juhan Nam, Keunwoo Choi, Jongpil Lee, Szu-Yu Chou, Yi-Hsuan Yang:
Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach. IEEE Signal Process. Mag. 36(1): 41-51 (2019) - [c23]Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Juhan Nam:
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance. ICML 2019: 3060-3070 - [c22]Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam:
Zero-shot Learning for Audio-based Music Classification and Tagging. ISMIR 2019: 67-74 - [c21]Kyungyun Lee, Juhan Nam:
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice. ISMIR 2019: 295-302 - [c20]Saebyul Park, Taegyun Kwon, Jongpil Lee, Jeounghoon Kim, Juhan Nam:
A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity. ISMIR 2019: 423-430 - [c19]Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Kyogu Lee, Juhan Nam:
VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance. ISMIR 2019: 908-915 - [i16]Doheum Park, Juhan Nam, Juyong Park:
Quantifying Novelty and Influence, and the Patterns of Paradigm Shifts. CoRR abs/1905.08665 (2019) - [i15]Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam:
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging. CoRR abs/1906.08615 (2019) - [i14]Kyungyun Lee, Juhan Nam:
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice. CoRR abs/1906.11139 (2019) - [i13]Jongpil Lee, Jiyoung Park, Juhan Nam:
Representation Learning of Music Using Artist, Album, and Track Information. CoRR abs/1906.11783 (2019) - [i12]Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam:
Zero-shot Learning for Audio-based Music Classification and Tagging. CoRR abs/1907.02670 (2019) - [i11]Taejun Kim, Juhan Nam:
Temporal Feedback Convolutional Recurrent Neural Networks for Keyword Spotting. CoRR abs/1911.01803 (2019) - 2018
- [c18]Sangeon Yong, Juhan Nam:
Singing Expression Transfer from One Voice to Another for a Given Song. ICASSP 2018: 151-155 - [c17]Taejun Kim, Jongpil Lee, Juhan Nam:
Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms. ICASSP 2018: 366-370 - [c16]Dasaem Jeong, Taegyun Kwon, Juhan Nam:
A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings. ISMIR 2018: 120-127 - [c15]Kyungyun Lee, Keunwoo Choi, Juhan Nam:
Revisiting Singing Voice Detection: A quantitative review and the future outlook. ISMIR 2018: 506-513 - [c14]Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam:
Representation Learning of Music Using Artist Labels. ISMIR 2018: 717-724 - [i10]Kyungyun Lee, Keunwoo Choi, Juhan Nam:
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook. CoRR abs/1806.01180 (2018) - [i9]Jongpil Lee, Kyungyun Lee, Jiyoung Park, Jangyeon Park, Juhan Nam:
Deep Content-User Embedding Model for Music Recommendation. CoRR abs/1807.06786 (2018) - [i8]Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum, Juhan Nam:
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition. CoRR abs/1807.09208 (2018) - 2017
- [j4]Jongpil Lee, Juhan Nam:
Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging. IEEE Signal Process. Lett. 24(8): 1208-1212 (2017) - [c13]Edward Jangwon Lee, Sangeon Yong, Soonbeom Choi, Liwei Chan, Roshan Lalintha Peiris, Juhan Nam:
Use the Force: Incorporating Touch Force Sensors into Mobile Music Interaction. CMMR 2017: 574-585 - [c12]Jongpil Lee, Jiyoung Park, Sangeun Kum, Youngho Jeong, Juhan Nam:
Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection. DCASE 2017: 69-73 - [c11]Dasaem Jeong, Juhan Nam:
Note Intensity Estimation of Piano Recordings by Score-Informed NMF. Semantic Audio 2017 - [c10]Sangeon Yong, Edward Jangwon Lee, Roshan Lalintha Peiris, Liwei Chan, Juhan Nam:
ForceClicks: Enabling Efficient Button Interaction with Single Finger Touch. TEI 2017: 489-493 - [i7]Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim, Juhan Nam:
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms. CoRR abs/1703.01789 (2017) - [i6]Jongpil Lee, Juhan Nam:
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging. CoRR abs/1703.01793 (2017) - [i5]Jongpil Lee, Juhan Nam:
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification. CoRR abs/1706.06810 (2017) - [i4]Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam:
Representation Learning of Music Using Artist Labels. CoRR abs/1710.06648 (2017) - [i3]Taejun Kim, Jongpil Lee, Juhan Nam:
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms. CoRR abs/1710.10451 (2017) - [i2]Taegyun Kwon, Dasaem Jeong, Juhan Nam:
Audio-to-score alignment of piano music using RNN-based automatic music transcription. CoRR abs/1711.04480 (2017) - [i1]Jongpil Lee, Taejun Kim, Jiyoung Park, Juhan Nam:
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures. CoRR abs/1712.00866 (2017) - 2016
- [c9]Sangeun Kum, Changheun Oh, Juhan Nam:
Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks. ISMIR 2016: 819-825 - 2015
- [c8]Seunghun Kim, Juhan Nam, Graham Wakefield:
Toward Certain Sonic Properties of an Audio Feedback System by Evolutionary Control of Second-Order Structures. EvoMUSART 2015: 113-124 - [c7]Seunghun Kim, Graham Wakefield, Juhan Nam:
Augmenting Room Acoustics and System Interaction for Intentional Control of Audio Feedback. ICMC 2015 - 2013
- [c6]Kyogu Lee, Ziwon Hyung, Juhan Nam:
Acoustic scene classification using sparse feature learning and event-based pooling. WASPAA 2013: 1-4 - 2012
- [j3]Jussi Pekonen, Juhan Nam, Julius O. Smith III, Vesa Välimäki:
Optimized Polynomial Spline Basis Function Design for Quasi-Bandlimited Classical Waveform Synthesis. IEEE Signal Process. Lett. 19(3): 159-162 (2012) - [c5]Juhan Nam, Gautham J. Mysore, Paris Smaragdis:
Sound Recognition in Mixtures. LVA/ICA 2012: 405-413 - [c4]Juhan Nam, Jorge Herrera, Malcolm Slaney, Julius O. Smith III:
Learning Sparse Feature Representations for Music Annotation and Retrieval. ISMIR 2012: 565-570 - 2011
- [c3]Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, Andrew Y. Ng:
Multimodal Deep Learning. ICML 2011: 689-696 - [c2]Juhan Nam, Jiquan Ngiam, Honglak Lee, Malcolm Slaney:
A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations. ISMIR 2011: 175-180 - 2010
- [j2]Juhan Nam, Vesa Välimäki, Jonathan S. Abel, Julius O. Smith III:
Efficient Antialiasing Oscillator Algorithms Using Low-Order Fractional Delay Filters. IEEE Trans. Speech Audio Process. 18(4): 773-785 (2010) - [j1]Vesa Välimäki, Juhan Nam, Julius O. Smith III, Jonathan S. Abel:
Alias-Suppressed Oscillators Based on Differentiated Polynomial Waveforms. IEEE Trans. Speech Audio Process. 18(4): 786-798 (2010) - [c1]Juhan Nam, Gautham J. Mysore, Joachim Ganseman, Kyogu Lee, Jonathan S. Abel:
A super-resolution spectrogram using coupled PLCA. INTERSPEECH 2010: 1696-1699
Coauthor Index
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