Browse "Graduate School of Culture Technology(문화기술대학원)" by Author Nam, Juhan

Showing results 58 to 117 of 153

58
Joint Detection and Classification of Singing Voice Melody Using Convolutional Recurrent Neural Networks

Kum, Sangeun; Nam, Juhan, APPLIED SCIENCES-BASEL, v.9, no.7, pp.1324, 2019-03

59
JOINT ESTIMATION OF FADER AND EQUALIZER GAINS OF DJ MIXERS USING CONVEX OPTIMIZATION

Kim, Taejun; Yang, Yi-Hsuan; Nam, Juhan, 25th International Conference on Digital Audio Effects, DAFx 2022, pp.312 - 319, DAFx, 2022-09-09

60
Korean Singing Voice Synthesis Based on Auto-Regressive Boundary Equilibrium GAN

Choi, Soonbeom; KIM, WON IL; Park, Sae Byul; Yong, Sangeon; Nam, Juhan, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, pp.7234 - 7238, IEEE, 2020-05-07

61
Learning a Cross-Domain Embedding Space of Vocal and Mixed audio with a Structure-Preserving Triplet Loss

Kim, Keunhyoung; Lee, Jongpil; Kum, Sangeun; Nam, Juhan, International Society for Music Information Retrieval Conference, ISMIR 2021, International Society for Music Information Retrieval, 2021-11-09

62
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice

Lee, Kyungyun; Nam, Juhan, The 20th International Society for Music Information Retrieval Conference (ISMIR), pp.295 - 302, International Society for Music Information Retrieval Conference (ISMIR), 2019-11-04

63
Learning Sparse Feature Representations for Music Annotation and Retrieval

Nam, Juhan; Herrera, Jorge; Slaney, Malcolm; Smith, Julius, O., the 13th International Conference for Music Information Retrieval Conference, International Society for Music Information Retrieval, 2012-10-08

64
Leveraging hierarchical relationship between sounds for few-shot sound event classification = 오디오 라벨의 위계 정보를 활용한 퓨샷 음향 사건 분류link

Choi, Youngjun; Nam, Juhan; et al, 한국과학기술원, 2022

65
LP-MusicCaps: LLM-Based Pseudo Music Captioning

Doh, Seungheon; Nam, Juhan, 24th International Society for Music Information Retrieval Conference, International Society for Music Information Retrieval Conference, 2023-11-07

66
Mel2Word: A Text-based Melody Representation for Symbolic Music Analysis

Park, Saebyul; Choi, Eunjin; Kim, Jeounghoon; Nam, Juhan, Music and Science, v.7, 2024-01

67
MeloDraw: A System for Melodic Contour Search from Embedded Space Using Line Drawings

Choi, Jeong; Park, Chaelin; Kim, Halla; Kim, Wonil; Nam, Juhan, 25th International symposium on electronic art (ISEA), ISEA International, 2019-06-24

68
Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks

Kum, Sangeun; Oh, Changheun; Nam, Juhan, The International Society for Music Information Retrieval (ISMIR), 2016, ISMIR, 2016-08-11

69
Metric Learning VS Classification for Disentangled Music Representation Learning

Lee, Jongpil; Bryan, Nicholas J.; Salamon, Justin; Jin, Zeyu; Nam, Juhan, The 21th International Society for Music Information Retrieval Conference (ISMIR), International Society for Music Information Retrieval, 2020-10-14

70
Million Song Search: Web Interface for Semantic Music Search Using Musical Word Embedding

Doh, SeungHeon; Lee, Jongpil; Nam, Juhan, International Society for Music Information Retrieval Conference, ISMIR 2021, International Society for Music Information Retrieval, 2021-11-11

71
Mixed Scape: Development of Framework and Artwork for Auditory Correspondence in Mixed Reality

Park. Seungsoon; Nam, Juhan; Lee, Jongpil; Kim, Taewan; Bae, Joonhyung, International Computer Music Conference (ICMC), International Computer Music Association (ICMA), 2021-07-28

72
Modeling user performance in moving-target acquisition tasks with input latencylink

Lee, Injung; Nam, Juhan; et al, 2021

73
Motion to Dance Music Generation using Latent Diffusion Model

Tan, Vanessa Hinayon; Nam, Junghyun; Noh, Junyong; Nam, Juhan, SIGGRAPH Asia 2023, Association for Computing Machinery, Inc, 2023-12-13

74
Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging

Lee, Jongpil; Nam, Juhan, IEEE SIGNAL PROCESSING LETTERS, v.24, no.8, pp.1208 - 1212, 2017-06

75
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification

LEE, JONGPIL; Nam, Juhan, Machine Learning for Music Discovery Workshop, International Conference on Machine Learning, International Machine Learning Society (IMLS), 2017-08-11

76
Multimodal Deep Learning

Ngiam, Jiquan; Khosla, Aditya; Kim, Mingyu; Nam, Juhan; Lee, Honglak; Ng, Andrew, The 28th International Conference on Machine Learning, ICML, 2011-06-28

77
Multivariate Kinematic Analysis of Piano Performance: a Case Study of a Professional Pianist

Park, Dawon; Kwon, Taegyun; Bae, Joonhyung; Park, Jonghwa; Nam, Juhan; Park, Jaebum, 29th Congress of International Society of Biomechanics, 2023, International Society of Biomechanics, 2023-08-03

78
Music Galaxy Hitchhiker: 3D Web Music Navigation through Audio Space Trained with Tag and Artist Labels

Suh, Dongwoo; Lee, Kyungyun; Lee, Jongpil; Park, Jiyoung; Nam, Juhan, The 18th International Society for Musical Information Retrieval Conference (ISMIR), ISMIR, 2017-10-27

79
Music Playlist Title Generation Using Artist Information

Kim, Haven; Doh, SeungHeon; Lee, Junwon; Nam, Juhan, AAAI-23 Workshop, Association for the Advancement of Artificial Intelligence, 2023-02-13

80
Music Playlist Title Generation: A Machine-Translation Approach

Doh, Seungheon; Lee, Junwon; Nam, Juhan, 2nd Workshop on NLP for Music and Spoken Audio(NLP4MuSA 2021), NLP for Music and Spoken Audio, 2021-11-12

81
Musical word embedding for natural language based music annotation and retrieval = 자연어 기반 음악 주석과 검색을 위한 음악적 워드 임베딩link

Doh, SeungHeon; Nam, Juhan; et al, 한국과학기술원, 2021

82
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music

Doh, Seungheon; LEE, JONGPIL; Park, Tae Hong; Nam, Juhan, Machine Learning for Media Discovery Workshop (ML4DL), International Conference on Machine Learning, The International Conference on Machine Learning (ICML), 2020-07-18

83
Neural Vocoder Feature Estimation for Dry Singing Voice Separation

Im, Jaekwon; Choi, Soonbeom; Yong, Sangeon; Nam, Juhan, 14th Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2022, pp.809 - 814, Asia-Pacific Signal and Information Processing Association (APSIPA), 2022-11-09

84
Note Intensity Estimation of Piano Recordings by Score-informed NMF

Jeong, Dasaem; Nam, Juhan, AES International Conference on Semantic Audio, Audio Engineering Society, Inc., 2017-06-22

85
Note-Intensity Estimation of Piano Recordings Using Coarsely Aligned MIDI Score

Jeong, Dasaem; Kwon, Taegyun; Nam, Juhan, JOURNAL OF THE AUDIO ENGINEERING SOCIETY, v.68, no.1/2, pp.34 - 47, 2020-02

86
On Minimizing the Look-Up Table Size in Quasibandlimited Classical Waveform Oscillators

Pekonen Jussi; Nam, Juhan; Smith, Julius, O.; Abel, Jonathan S.; Välimäki, Vesa, the 13th Int. Conference on Digital Audio Effects, DAFX, 2010-09-06

87
On the Minimum-phase Nature of Head-Related Transfer Functions

Nam, Juhan; Kolar, Miriam A.; Abel, Jonathan S., the 125th Audio Engineering Society Convention, Audio Engineering Society, 2008-10-02

88
Onset-sensitive alignment of piano music using neural AMTs = 신경망 기반 자동음악채보를 이용한 피아노 음악의 온셋에 민감한 정렬link

Kwon, Taegyun; Nam, Juhan; et al, 한국과학기술원, 2018

89
Optimized Polynomial Spline Basis Function Design for Quasi-Bandlimited Classical Waveform Synthesis

Pekonen, Jussi; Nam, Juhan; Smith, Julius O.; Valimaki, Vesa, IEEE SIGNAL PROCESSING LETTERS, v.19, no.3, pp.159 - 162, 2012-03

90
Perceptually informed synthesis of bandlimited classical waveforms using integrated polynomial interpolation

Valimaki, Vesa; Pekonen, Jussi; Nam, Juhan, JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, v.131, no.1, pp.974 - 986, 2012-01

91
PerformScore: Toward Performance Visualization With the Score on the Web Browser

Jeong, Dasaem; Kwon, T; Park, Chaelin; Nam, Juhan, The 18th International Society for Musical Information Retrieval Conference (ISMIR), ISMIR, 2017-10-27

92
PocketVAE: a two step model for groove generation and control = PocketVAE: 두 단계 접근을 이용한 그루브 생성 및 제어 모델link

Lee, Kyung Yun; Nam, Juhan; et al, 한국과학기술원, 2021

93
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model

Kwon, Taegyun; Jeong, Dasaem; Nam, Juhan, The 21th International Society for Music Information Retrieval Conference (ISMIR), International Society for Music Information Retrieval, 2020-10-14

94
PrimaDNN':A Characteristics-aware DNN Customization for Singing Technique Detection

Yamamoto, Yuya; Nam, Juhan; Terasawa, Hiroko, 31st European Signal Processing Conference, EUSIPCO 2023, pp.406 - 410, European Signal Processing Conference, EUSIPCO, 2023-09-07

95
PSEUDO-LABEL TRANSFER FROM FRAME-LEVEL TO NOTE-LEVEL IN A TEACHER-STUDENT FRAMEWORK FOR SINGING TRANSCRIPTION FROM POLYPHONIC MUSIC

Kum, Sangeun; Lee, Jongpil; Kim, Keunhyoung Luke; Kim, Taehyoung; Nam, Juhan, 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, pp.796 - 800, Institute of Electrical and Electronics Engineers Inc., 2022-05-24

96
PyTSMod: A Python Implementation of Time-Scale Modification Algorithms

Yong, Sangeon; Choi, Soonbeom; Nam, Juhan, The 21st International Society for Music Information Retrieval Conference (ISMIR), International Society for Music Information Retrieval, 2020-10-16

97
Quantitative analysis of piano performance proficiency focusing on difference between hands

Kim, Sarah; Park, Jeong Mi; Rhyu, Seungyeon; Nam, Juhan; Lee, Kyogu, PLOS ONE, v.16, no.5, 2021-05

98
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures

Lee, Jongpil; Park, Jiyoung; Kim, Taejun; Nam, Juhan, Machine Learning for Audio Signal Processing Workshop, Neural Information Processing Systems (NIPS), Neural Information Processing Systems (NIPS), 2017-12-08

99
Real-time pitch tracking using weakly supervised convolutional recurrent neural network = 합성곱 순환 신경망을 사용한 실시간 음 높이 추적link

Choi, Soonbeom; Nam, Juhan; et al, 한국과학기술원, 2018

100
Representation learning for boundary detection in music structure analysis = 음악 구조 분석에서 경계 탐지를 위한 표현 학습link

Choi, Minsuk; Nam, Juhan; et al, 한국과학기술원, 2020

101
Representation learning of music using artist labels = 아티스트 레이블을 이용한 음악의 표현 학습link

Park, Jiyoung; Nam, Juhan; et al, 한국과학기술원, 2018

102
Representation Learning of Music Using Artist Labels

Park, Jiyoung; Lee, Jongpil; Park, Jangyeon; Ha, Jung-Woo; Nam, Juhan, International Society for Music Information Retrieval Conference, International Society for Music Information Retrieval, 2018-09-26

103
Representation Learning of Music Using Artist, Album, and Track information

LEE, JONGPIL; Park, Jiyoung; Nam, Juhan, Machine Learning for Music Discovery Workshop, the 36th International Conference on Machine Learning (ICML), The International Conference on Machine Learning (ICML), 2019-06-15

104
Representation Learning Using Artist labels for Audio Classification Tasks

Park, Jiyoung; Lee, Jongpil; Park, Jangyeon; Ha, Jung-Woo; Nam, Juhan, Music Information Retrieval Evaluation eXchange (MIREX) in the 18th International Society for Musical Information Retrieval Conference (ISMIR), ISMIR, 2017-10-27

105
Retrieval for footsteps sound assets and auto-triggering of humanoid character footsteps in in-game cutscenes = 인게임 컷신에서의 인간형 캐릭터 발걸음 사운드 에셋 검색 및 오토트리거링link

Bae, Joonhyung; Nam, Juhan; et al, 한국과학기술원, 2021

106
Reverse-Engineering The Transition Regions of Real-World DJ Mixes using Sub-band Analysis with Convex Optimization

Kim, Taejun; Nam, Juhan; Yang, Yi-Hsuan, New Interfaces for Musical Expression (NIME), New Interfaces for Musical Expression (NIME), 2021-06-15

107
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook

Lee, Kyungyun; Choi, Keunwoo; Nam, Juhan, International Society for Music Information Retrieval Conference, International Society for Music Information Retrieval, 2018-09-25

108
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms

Kim, Taejun; Lee, Jongpil; Nam, Juhan, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.366 - 370, IEEE, 2018-04-18

109
Sample-level Deep Convolutional Neural Networks for Music auto-tagging Using Raw Waveforms

Lee, Jongpil; Park, Jiyoung; Kim, Luke; Nam, Juhan, The 14th Sound and Music Computing Conference, SMCNetwork, 2017-07-05

110
SampleCNN: End-to-End Deep Convolutional Neural Networks Using Very Small Filters for Music Classification

Lee, Jongpil; Park, Jiyoung; Kim, Keunhyoung Luke; Nam, Juhan, APPLIED SCIENCES, v.8, no.1, 2018-01

111
Score and Performance Features for Rendering Expressive Music Performances

Jeong, Dasaem; Kwon, Taegyun; Kim, Yoojin; Nam, Juhan, Music Encoding Conference, Music Encoding Initiative, 2019-05-31

112
Semantic analysis and applications of vocal characteristics in music using deep learninglink

Kim, Keunhyuoung; Nam, Juhan; et al, 2021

113
Semantic Tagging of Singing Voices in Popular Music Recordings

Kim, Keunhyoung Luke; Lee, Jongpil; Kum, Sangeun; Park, Chae Lin; Nam, Juhan, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.28, pp.1656 - 1668, 2020-05

114
Semi-supervised Learning Using Teacher-student Models for Vocal Melody Extraction

Keum, Sagneun; Lin, Jing-Hua; Su, Li; Nam, Juhan, The 21th International Society for Music Information Retrieval Conference (ISMIR), International Society for Music Information Retrieval, 2020-10-13

115
Sense of Convergence: Exploring the Artistic Potential of Cross-modal Sensory Transfer in Virtual Reality

Hwang, Eugene; Bae, Joonhyung; Kim, Wonil; Nam, Juhan; Lee, Jeongmi, 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), IEEE, 2023-10-18

116
Seung-ee and Kkaebi: A VR-Mobile Cross Platform Game based on Co-Presence for a Balanced Immersive Experience

Kim, Jinwook; Koh, Pooseung; Kang, Seokjun; Jang, Hyunyoung; Lee, Jeongmi; Nam, Juhan; Doh, Young Yim, CHI PLAY '22: The Annual Symposium on Computer-Human Interaction in Play, pp.273 - 278, ACM, 2022-11-02

117
Similarity-based deep learning for music retrievallink

Lee, Jongpil; Nam, Juhan; et al, 2021

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