26.1.10 Music

Chapter Contents (Back)
Music.
See also Analysis of Music, Musical Notation, Music Scores.

Okamura, S.[Shiro], Aoyama, K.[Kensei],
An experimental study of energy dips for speech and music,
PR(16), No. 2, 1983, pp. 163-166.
Elsevier DOI 0309
BibRef

Raphael, C.,
Automatic Segmentation of Acoustic Musical Signals Using Hidden Markov Models,
PAMI(21), No. 4, April 1999, pp. 360-370.
IEEE DOI Acoustic analysis. BibRef 9904

Bugatti, A.[Alessandro], Flammini, A.[Alessandra], Migliorati, P.[Pierangelo],
Audio Classification in Speech and Music: A Comparison Between a Statistical and a Neural Approach,
JASP(2002), No. 4, 2002, pp. 372-378.
WWW Link. 0204
BibRef

Chen, S.H., Wang, J.F.,
Noise-robust pitch detection method using wavelet transform with aliasing compensation,
VISP(149), No. 6, December 2002, pp. 327-334.
IEEE Top Reference. 0304
BibRef

Pertusa, A.[Antonio], Iñesta, J.M.[José M.],
Polyphonic monotimbral music transcription using dynamic networks,
PRL(26), No. 12, September 2005, pp. 1809-1818.
Elsevier DOI 0508
BibRef

Backer, E.[Eric], van Kranenburg, P.[Peter],
On musical stylometry: A pattern recognition approach,
PRL(26), No. 3, February 2005, pp. 299-309.
Elsevier DOI 0501
BibRef

Pang, H.S.[Hee-Suk], Yoon, D.H.[Doe-Hyun],
Automatic detection of vibrato in monophonic music,
PR(38), No. 7, July 2005, pp. 1135-1138.
Elsevier DOI 0505
BibRef

Li, H.F.[Hua-Fu], Lee, S.Y.[Suh-Yin], Shan, M.K.[Man-Kwan],
Online mining maximal frequent structures in continuous landmark melody streams,
PRL(26), No. 11, August 2005, pp. 1658-1674.
Elsevier DOI 0506
BibRef

Li, H.F.[Hua-Fu],
Mining top-k Hot Melody Structures over online music query streams,
PRL(29), No. 16, 1 December 2008, pp. 2116-2121.
Elsevier DOI 0811
Data mining; Multimedia data mining; Music query streams; Top-k Hot Melody Structures; Single-pass algorithm BibRef

Ramirez, R., Maestre, E., Pertusa, A., Gomez, E., Serra, X.,
Performance-Based Interpreter Identification in Saxophone Audio Recordings,
CirSysVideo(17), No. 3, March 2007, pp. 356-364.
IEEE DOI 0703
BibRef

Aucouturier, J.J.[Jean-Julien], Pachet, F.[Francois],
A scale-free distribution of false positives for a large class of audio similarity measures,
PR(41), No. 1, January 2008, pp. 272-284.
Elsevier DOI 0710
Music similarity; Timbre; False positives; Hubs; Mel-Frequency Cepstral Coefficients; Bag-of-frames BibRef

Park, D.C.[Dong-Chul],
Classification of Audio Signals Using Fuzzy C-Means with Divergence-Based Kernel,
PRL(30), No. 9, 1 July 2009, pp. 794-798.
Elsevier DOI 0905
Music classification; Fuzzy c-Means; Divergence kernel; Gaussian probability density function (GPDF); Self-organizing map
See also Satellite Image Classification Using a Divergence-Based Fuzzy c-Means Algorithm. BibRef

Chakraborty, R.[Roudra], Sengupta, D.[Debapriya], Sinha, S.[Sagnik],
Pitch tracking of acoustic signals based on average squared mean difference function,
SIViP(3), No. 4, December 2009, pp. xx-yy.
Springer DOI 0911
BibRef

Ferrer, C.[Carlos], Torres, D.[Diana], Hernández-Díaz, M.E.[María E.],
Using dynamic time warping of T0 contours in the evaluation of cycle-to-cycle Pitch Detection Algorithms,
PRL(31), No. 6, 15 April 2010, pp. 517-522.
Elsevier DOI 1004
BibRef
Earlier: CIARP08(120-127).
Springer DOI 0809
Dynamic time warping; Pitch determination; Waveform matching BibRef

Wang, L., Chng, E.S., Li, H.,
A tree-construction search approach for multivariate time series motifs discovery,
PRL(31), No. 9, 1 July 2010, pp. 869-875.
Elsevier DOI 1004
Motif discovery; Music; Multidimensional sequences; Information retrieval; Pattern recognition BibRef

Cont, A.[Arshia],
A Coupled Duration-Focused Architecture for Real-Time Music-to-Score Alignment,
PAMI(32), No. 6, June 2010, pp. 974-987.
IEEE DOI 1004
BibRef

Balkema, W.[Wietse], van der Heijden, F.[Ferdi],
Music playlist generation by assimilating GMMs into SOMs,
PRL(31), No. 11, 1 August 2010, pp. 1396-1402.
Elsevier DOI 1008
Music playlists; Self organization; Gaussian mixtures; Genre classification; Earth mover's distance BibRef

Jung, C.S.[Chi-Sang], Seo, H.S.[Hyun-Son], Kang, H.G.[Hong-Goo],
Estimating redundancy information of selected features in multi-dimensional pattern classification,
PRL(32), No. 4, 1 March 2011, pp. 590-596.
Elsevier DOI 1102
Feature selection; Redundancy information; Conditional mutual information; Speech/music discrimination BibRef

Fu, Z.Y.[Zhou-Yu], Lu, G.J.[Guo-Jun], Ting, K.M.[Kai Ming], Zhang, D.S.[Deng-Sheng],
A Survey of Audio-Based Music Classification and Annotation,
MultMed(13), No. 2, 2011, pp. 303-319.
IEEE DOI 1103
BibRef
Earlier:
Learning Naive Bayes Classifiers for Music Classification and Retrieval,
ICPR10(4589-4592).
IEEE DOI 1008
BibRef

Fu, Z.Y.[Zhou-Yu], Lu, G.J.[Guo-Jun], Ting, K.M.[Kai-Ming], Zhang, D.S.[Deng-Sheng],
Learning Sparse Kernel Classifiers in the Primal,
SSSPR12(60-69).
Springer DOI 1211
BibRef

Fields, B., Jacobson, K., Rhodes, C., d'Inverno, M., Sandler, M., Casey, M.,
Analysis and Exploitation of Musician Social Networks for Recommendation and Discovery,
MultMed(13), No. 4, 2011, pp. 674-686.
IEEE DOI 1108
BibRef

Bogdanov, D., Serra, J., Wack, N., Herrera, P., Serra, X.,
Unifying Low-Level and High-Level Music Similarity Measures,
MultMed(13), No. 4, 2011, pp. 687-701.
IEEE DOI 1108
BibRef

van der Merwe, A.[Andries], Schulze, W.[Walter],
Music Generation with Markov Models,
MultMedMag(18), No. 3, 2011, pp. 78-85.
IEEE DOI 1108
BibRef

Fu, Z.Y.[Zhou-Yu], Lu, G.J.[Guo-Jun], Ting, K.M.[Kai Ming], Zhang, D.S.[Deng-Sheng],
Music classification via the bag-of-features approach,
PRL(32), No. 14, 15 October 2011, pp. 1768-1777.
Elsevier DOI 1110
Music classification; Bag-of-features; Pattern classification; Multiple codebook model; Support Vector Machines BibRef

Chen, Z.S., Jang, J.S.R., Lee, C.H.,
A Kernel Framework for Content-Based Artist Recommendation System in Music,
MultMed(13), No. 6, 2011, pp. 1371-1380.
IEEE DOI 1112
BibRef

Lee, C.H., Yang, Y.H., Chen, H.H.,
Multipitch Estimation of Piano Music by Exemplar-Based Sparse Representation,
MultMed(14), No. 3, 2012, pp. 608-618.
IEEE DOI 1202
BibRef

Ewert, S., Muller, M., Konz, V., Mullensiefen, D., Wiggins, G.A.,
Towards Cross-Version Harmonic Analysis of Music,
MultMed(14), No. 3, 2012, pp. 770-782.
IEEE DOI 1202
BibRef

Serrà, J.[Joan], Zanin, M.[Massimiliano], Herrera, P.[Perfecto], Serra, X.[Xavier],
Characterization and exploitation of community structure in cover song networks,
PRL(33), No. 9, 1 July 2012, pp. 1032-1041.
Elsevier DOI 1202
Complex networks; Community detection; Clustering; Music retrieval; Cover songs; Original song BibRef

Ofli, F., Erzin, E., Yemez, Y., Tekalp, A.M.,
Learn2Dance: Learning Statistical Music-to-Dance Mappings for Choreography Synthesis,
MultMed(14), No. 3, 2012, pp. 747-759.
IEEE DOI 1202
BibRef
And: Correction: MultMed(14), No. 4, 2012, pp. 1376.
IEEE DOI 1208
BibRef

Tsai, W.H.[Wei-Ho], Tu, Y.M.[Yu-Ming], Ma, C.H.[Cin-Hao],
An FFT-based fast melody comparison method for query-by-singing/humming systems,
PRL(33), No. 16, 1 December 2012, pp. 2285-2291.
Elsevier DOI 1210
Dynamic time warping; Fast Fourier transform; Query-by-humming; Query-by-singing BibRef

Garner, P.N., Cernak, M., Motlicek, P.,
A Simple Continuous Pitch Estimation Algorithm,
SPLetters(20), No. 1, January 2013, pp. 102-105.
IEEE DOI 1212
BibRef

Urbano, J.[Julián], Schedl, M.[Markus],
Minimal test collections for low-cost evaluation of Audio Music Similarity and Retrieval systems,
MultInfoRetr(2), No. 1, March 2013, pp. 59-70.
WWW Link. 1303
BibRef

Salamon, J.[Justin], Serrà, J.[Joan], Gómez, E.[Emilia],
Tonal representations for music retrieval: from version identification to query-by-humming,
MultInfoRetr(2), No. 1, March 2013, pp. 45-58.
WWW Link. 1303
BibRef

Knees, P.[Peter], Schedl, M.[Markus], Celma, Ò.[Òscar],
Hybrid music information retrieval,
MultInfoRetr(2), No. 1, March 2013, pp. 1-2.
WWW Link. 1303
BibRef

Domingues, M.A.[Marcos Aurélio], Gouyon, F.[Fabien], Gouyon, F.[Fabien], Jorge, A.M.[Alípio Mário], Leal, J.P.[José Paulo], Vinagre, J.[João], Lemos, L.[Luís], Sordo, M.[Mohamed],
Combining usage and content in an online recommendation system for music in the Long Tail,
MultInfoRetr(2), No. 1, March 2013, pp. 3-13.
WWW Link. 1303
BibRef

Liem, C.C.S.[Cynthia C. S.], Larson, M.[Martha], Hanjalic, A.[Alan],
When music makes a scene,
MultInfoRetr(2), No. 1, March 2013, pp. 15-30.
WWW Link. 1303
BibRef

Braunhofer, M.[Matthias], Kaminskas, M.[Marius], Ricci, F.[Francesco],
Location-aware music recommendation,
MultInfoRetr(2), No. 1, March 2013, pp. 31-44.
WWW Link. 1303
BibRef

Myung, J.[Jinbok], Kim, K.H.[Kwang-Ho], Park, J.S.[Jeong-Sik], Koo, M.W.[Myoung-Wan], Kim, J.H.[Ji-Hwan],
Two-pass search strategy using accumulated band energy histogram for HMM-based identification of perceptually identical music,
IJIST(23), No. 2, 2013, pp. 127-132.
DOI Link 1307
music identification, HMM, two-pass, histogram, perceptually identical music BibRef

Parker, J., Valimaki, V.,
Linear Dynamic Range Reduction of Musical Audio Using an Allpass Filter Chain,
SPLetters(20), No. 7, 2013, pp. 669-672.
IEEE DOI 1307
isolated musical sound BibRef

de Haas, W.B.[W. Bas], Wiering, F.[Frans], Veltkamp, R.C.[Remco C.],
A geometrical distance measure for determining the similarity of musical harmony,
MultInfoRetr(2), No. 3, September 2013, pp. 189-202.
Springer DOI 1307
BibRef

Sturm, B.L., Gouyon, F.,
Revisiting Inter-Genre Similarity,
SPLetters(20), No. 11, 2013, pp. 1050-1053.
IEEE DOI 1310
Bayes methods. Music genres in particular. BibRef

Chen, J.[Jun], Wang, C.K.[Chao-Kun],
Automatic Music Stretching Resistance Classification Using Audio Features and Genres,
SPLetters(20), No. 12, 2013, pp. 1249-1252.
IEEE DOI 1311
Estimation BibRef

Chen, J.[Jun], Wang, C.K.[Chao-Kun],
RESIC: A Tool for Music Stretching Resistance Estimation,
MMMod14(II: 386-389).
Springer DOI 1405
BibRef

Yoon, J.Y.[Jea-Yul], Song, C.J.[Chai-Jong], Park, H.[Hochong],
Predominant Melody Extraction from Polyphonic Music Signals Based on Harmonic Structure,
IEICE(E96-D), No. 11, November 2013, pp. 2504-2507.
WWW Link. 1311
BibRef

Rocamora, M.[Martín], Cancela, P.[Pablo], Pardo, A.[Alvaro],
Query by humming: Automatically building the database from music recordings,
PRL(36), No. 1, 2014, pp. 272-280.
Elsevier DOI 1312
Voice based multimodal interfaces BibRef

Chen, P.C.[Pei-Chun], Lin, K.S.[Keng-Sheng], Chen, H.H.,
Emotional Accompaniment Generation System Based on Harmonic Progression,
MultMed(15), No. 7, 2013, pp. 1469-1479.
IEEE DOI 1312
music BibRef

Yu, Y.[Yi], Zimmermann, R., Wang, Y.[Ye], Oria, V.,
Scalable Content-Based Music Retrieval Using Chord Progression Histogram and Tree-Structure LSH,
MultMed(15), No. 8, December 2013, pp. 1969-1981.
IEEE DOI 1402
Internet BibRef

Driedger, J., Muller, M., Ewert, S.,
Improving Time-Scale Modification of Music Signals Using Harmonic-Percussive Separation,
SPLetters(21), No. 1, January 2014, pp. 105-109.
IEEE DOI 1402
audio signal processing BibRef

Li, Z.H.[Zhong-Hua], Zhang, B.J.[Bing-Jun], Yu, Y.[Yi], Shen, J.[Jialie], Wang, Y.[Ye],
Query-Document-Dependent Fusion: A Case Study of Multimodal Music Retrieval,
MultMed(15), No. 8, December 2013, pp. 1830-1842.
IEEE DOI 1402
information retrieval BibRef

Panagakis, Y.[Yannis], Kotropoulos, C.[Constantine],
Elastic Net subspace clustering applied to pop/rock music structure analysis,
PRL(38), No. 1, 2014, pp. 46-53.
Elsevier DOI 1402
Elastic Net BibRef

Salamon, J., Gomez, E., Ellis, D.P.W., Richard, G.,
Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges,
SPMag(31), No. 2, March 2014, pp. 118-134.
IEEE DOI 1404
audio signal processing BibRef

George, J.[Joe], Shamir, L.[Lior],
Computer analysis of similarities between albums in popular music,
PRL(45), No. 1, 2014, pp. 78-84.
Elsevier DOI 1407
Music BibRef

Jeong, I.Y., Lee, K.,
Vocal Separation from Monaural Music Using Temporal/Spectral Continuity and Sparsity Constraints,
SPLetters(21), No. 10, October 2014, pp. 1197-1200.
IEEE DOI 1407
Harmonic analysis BibRef

Kim, C.H.[Chang-Hyun], Chang, W.[Wonil], Oh, S.H.[Sang-Hoon], Lee, S.Y.[Soo-Young],
Joint Estimation of Multiple Notes and Inharmonicity Coefficient Based on f_0 -Triplet for Automatic Piano Transcription,
SPLetters(21), No. 12, December 2014, pp. 1536-1540.
IEEE DOI 1410
audio recording BibRef

Raposo, F., Ribeiro, R., Martins de Matos, D.,
On the Application of Generic Summarization Algorithms to Music,
SPLetters(22), No. 1, January 2015, pp. 26-30.
IEEE DOI 1410
audio signal processing BibRef

Smith, J.B.L., Chuan, C.H.[Ching-Hua], Chew, E.,
Audio Properties of Perceived Boundaries in Music,
MultMed(16), No. 5, August 2014, pp. 1219-1228.
IEEE DOI 1410
audio signal processing BibRef

Serra, J., Muller, M., Grosche, P., Arcos, J.L.,
Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity,
MultMed(16), No. 5, August 2014, pp. 1229-1240.
IEEE DOI 1410
music BibRef

Grachten, M., Krebs, F.,
An Assessment of Learned Score Features for Modeling Expressive Dynamics in Music,
MultMed(16), No. 5, August 2014, pp. 1211-1218.
IEEE DOI 1410
Boltzmann machines BibRef

Lee, K.[Kibeom], Lee, K.[Kyogu],
Using Dynamically Promoted Experts for Music Recommendation,
MultMed(16), No. 5, August 2014, pp. 1201-1210.
IEEE DOI 1410
collaborative filtering BibRef

Su, L.[Li], Yeh, C.C.M., Liu, J.Y.[Jen-Yu], Wang, J.C.A.[Ju-Chi-Ang], Yang, Y.H.[Yi-Hsuan],
A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval,
MultMed(16), No. 5, August 2014, pp. 1188-1200.
IEEE DOI 1410
information retrieval BibRef

Schreiber, H., Muller, M.,
Accelerating Index-Based Audio Identification,
MultMed(16), No. 6, October 2014, pp. 1654-1664.
IEEE DOI 1410
audio signal processing BibRef

Wang, C.K.[Chao-Kun], Li, J.Z.[Jian-Zhong], Shi, S.F.[Sheng-Fei],
N-gram inverted index structures on music data for theme mining and content-based information retrieval,
PRL(27), No. 5, 1 April 2006, pp. 492-503.
Elsevier DOI 0604
N-gram inverted index; Music theme mining; Content-based music information retrieval BibRef

Mao, K., Shou, L., Fan, J., Chen, G., Kankanhalli, M.S.,
Competence-Based Song Recommendation: Matching Songs to One's Singing Skill,
MultMed(17), No. 3, March 2015, pp. 396-408.
IEEE DOI 1502
Acoustics BibRef

Roda, A., Canazza, S., de Poli, G.,
Clustering Affective Qualities of Classical Music: Beyond the Valence-Arousal Plane,
AffCom(5), No. 4, October 2014, pp. 364-376.
IEEE DOI 1503
behavioural sciences BibRef

Horsburgh, B.[Ben], Craw, S.[Susan], Massie, S.[Stewart],
Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems,
AI(219), No. 1, 2015, pp. 25-39.
Elsevier DOI 1503
Music recommendation BibRef

Wen, C.H.[Cui-Hong], Rebelo, A.[Ana], Zhang, J.[Jing], Cardoso, J.S.[Jaime S.],
A new optical music recognition system based on combined neural network,
PRL(58), No. 1, 2015, pp. 1-7.
Elsevier DOI 1505
Neural network BibRef

Wang, J.C.A.[Ju-Chi-Ang], Yang, Y.H.[Yi-Hsuan], Wang, H.M.[Hsin-Min], Jeng, S.K.[Shyh-Kang],
Modeling the Affective Content of Music with a Gaussian Mixture Model,
AffCom(6), No. 1, January 2015, pp. 56-68.
IEEE DOI 1506
Gaussian processes BibRef

Jao, P.K.[Ping-Keng], Yang, Y.H.[Yi-Hsuan],
Music Annotation and Retrieval using Unlabeled Exemplars: Correlation and Sparse Codes,
SPLetters(22), No. 10, October 2015, pp. 1771-1775.
IEEE DOI 1506
content-based retrieval BibRef

Deng, J.J., Leung, C.H.C.,
Dynamic Time Warping for Music Retrieval Using Time Series Modeling of Musical Emotions,
AffCom(6), No. 2, April 2015, pp. 137-151.
IEEE DOI 1507
Kalman filters BibRef

Liang, C.Y.[Che-Yuan], Su, L.[Li], Yang, Y.H.[Yi-Hsuan],
Musical Onset Detection Using Constrained Linear Reconstruction,
SPLetters(22), No. 11, November 2015, pp. 2142-2146.
IEEE DOI 1509
music BibRef

Ren, J., Wu, M., Jang, J.R.,
Automatic Music Mood Classification Based on Timbre and Modulation Features,
AffCom(6), No. 3, July 2015, pp. 236-246.
IEEE DOI 1509
Feature extraction BibRef

Liu, Y., Liu, Y., Zhao, Y., Hua, K.A.,
What Strikes the Strings of Your Heart?: Feature Mining for Music Emotion Analysis,
AffCom(6), No. 3, July 2015, pp. 247-260.
IEEE DOI 1509
Computational modeling BibRef

Wang, J., Lee, Y., Chin, Y., Chen, Y., Hsieh, W.,
Hierarchical Dirichlet Process Mixture Model for Music Emotion Recognition,
AffCom(6), No. 3, July 2015, pp. 261-271.
IEEE DOI 1509
Computational modeling BibRef

Kereliuk, C., Sturm, B.L., Larsen, J.,
Deep Learning and Music Adversaries,
MultMed(17), No. 11, November 2015, pp. 2059-2071.
IEEE DOI 1511
Benchmark testing BibRef

Akbari, M., Cheng, H.,
Real-Time Piano Music Transcription Based on Computer Vision,
MultMed(17), No. 12, December 2015, pp. 2113-2121.
IEEE DOI 1512
Accuracy BibRef

Saari, P., Fazekas, G., Eerola, T., Barthet, M., Lartillot, O., Sandler, M.,
Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation,
AffCom(7), No. 2, April 2016, pp. 122-135.
IEEE DOI 1606
Biological system modeling BibRef

Cantareira, G.D., Nonato, L.G., Paulovich, F.V.,
MoshViz: A Detail+Overview Approach to Visualize Music Elements,
MultMed(18), No. 11, November 2016, pp. 2238-2246.
IEEE DOI 1609
data models BibRef

Chan, T.S.T., Yang, Y.H.,
Informed Group-Sparse Representation for Singing Voice Separation,
SPLetters(24), No. 2, February 2017, pp. 156-160.
IEEE DOI 1702
music BibRef

Schedl, M.[Markus],
Investigating country-specific music preferences and music recommendation algorithms with the LFM-1b dataset,
MultInfoRetr(6), No. 1, March 2017, pp. 71-84.
WWW Link. 1704
BibRef

Schedl, M.[Markus], Höglinger, C.[Christian], Knees, P.[Peter],
Large-scale music exploration in hierarchically organized landscapes using prototypicality information,
ICMR11(8).
DOI Link 1301
attention to scalability and user interaction BibRef

Cogliati, A., Duan, Z., Wohlberg, B.,
Piano Transcription With Convolutional Sparse Lateral Inhibition,
SPLetters(24), No. 4, April 2017, pp. 392-396.
IEEE DOI 1704
audio signal processing BibRef

Hu, X., Yang, Y.H.,
Cross-Dataset and Cross-Cultural Music Mood Prediction: A Case on Western and Chinese Pop Songs,
AffCom(8), No. 2, April 2017, pp. 228-240.
IEEE DOI 1706
Computational modeling, Cultural differences, Mood, Music, Predictive models, Reliability, Cross-dataset, cross-cultural, evaluation, generalizability, music mood prediction, regression, model BibRef

Rizzi, A., Antonelli, M., Luzi, M.,
Instrument Learning and Sparse NMD for Automatic Polyphonic Music Transcription,
MultMed(19), No. 7, July 2017, pp. 1405-1415.
IEEE DOI 1706
Dictionaries, Hidden Markov models, Instruments, Matrix decomposition, Music, Optimization, Software, Automatic music transcription (AMT), non-monotone optimization, non-negative matrix decomposition (NMD), sparse coding, spectrogram, factorization BibRef

Tsai, T., Prätzlich, T., Müller, M.,
Known-Artist Live Song Identification Using Audio Hashprints,
MultMed(19), No. 7, July 2017, pp. 1569-1582.
IEEE DOI 1706
Cellular phones, Databases, Global Positioning System, Music, Robustness, Runtime, Systems architecture, Audio matching, cover song, fingerprinting, live performance, song, identification BibRef

Borjian, N.[Nastaran],
Query-by-example music information retrieval by score-based genre prediction and similarity measure,
MultInfoRetr(6), No. 2, June 2017, pp. 155-166.
WWW Link. 1708
BibRef

Lee, J., Nam, J.,
Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging,
SPLetters(24), No. 8, August 2017, pp. 1208-1212.
IEEE DOI 1708
audio signal processing, music auto-tagging, pretrained convolutional networks, transfer learning, two-dimensional audio spectrogram, Spectrogram, music auto-tagging. BibRef

Paz, I.[Iván], Nebot, À.[Àngela], Mugica, F.[Francisco], Romero, E.[Enrique],
Modeling perceptual categories of parametric musical systems,
PRL(105), 2018, pp. 217-225.
Elsevier DOI 1804
Musical system, Modeling, Classification, Rule base system BibRef

Schedl, M.[Markus], Zamani, H.[Hamed], Chen, C.W.[Ching-Wei], Deldjoo, Y.[Yashar], Elahi, M.[Mehdi],
Current challenges and visions in music recommender systems research,
MultInfoRetr(8), No. 2, June 2018, pp. 95-116.
Springer DOI 1805
BibRef

Kroher, N., Pikrakis, A., Díaz-Báñez, J.M.,
Discovery of Repeated Melodic Phrases in Folk Singing Recordings,
MultMed(20), No. 6, June 2018, pp. 1291-1304.
IEEE DOI 1805
Audio recording, Clustering algorithms, Europe, Instruments, Music, Partitioning algorithms, Music information retrieval, melody segmentation BibRef

Yadati, K., Larson, M., Liem, C.C.S., Hanjalic, A.,
Detecting Socially Significant Music Events Using Temporally Noisy Labels,
MultMed(20), No. 9, September 2018, pp. 2526-2540.
IEEE DOI 1809
learning (artificial intelligence), music, social networking (online), online social activity, timed comments BibRef

Lee, J., Lee, J.,
Music Popularity: Metrics, Characteristics, and Audio-Based Prediction,
MultMed(20), No. 11, November 2018, pp. 3173-3182.
IEEE DOI 1810
Measurement, Music, Complexity theory, Mel frequency cepstral coefficient, Industries, music popularity metrics BibRef

Schedl, M., Gómez, E., Trent, E.S., Tkalcic, M., Eghbal-Zadeh, H., Martorell, A.,
On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music,
AffCom(9), No. 4, October 2018, pp. 507-525.
IEEE DOI 1812
Music, Feature extraction, Multiple signal classification, Emotion recognition, Instruments, Complexity theory, Mood, agreement and correlation in music perception BibRef

Chin, Y., Wang, J., Wang, J., Yang, Y.,
Predicting the Probability Density Function of Music Emotion Using Emotion Space Mapping,
AffCom(9), No. 4, October 2018, pp. 541-549.
IEEE DOI 1812
Probability density function, Feature extraction, Training, Computational modeling, Predictive models, predictive model and algorithm BibRef

Silva, D.F., Yeh, C.M., Zhu, Y., Batista, G.E.A.P.A., Keogh, E.,
Fast Similarity Matrix Profile for Music Analysis and Exploration,
MultMed(21), No. 1, January 2019, pp. 29-38.
IEEE DOI 1901
Time series analysis, Indexes, Feature extraction, Data mining, Euclidean distance, Music information retrieval, music information retrieval BibRef

McFee, B., Kim, J.W., Cartwright, M., Salamon, J., Bittner, R.M., Bello, J.P.,
Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research,
SPMag(36), No. 1, January 2019, pp. 128-137.
IEEE DOI 1901
Data models, Open source software, Machine learning, Libraries, Complexity theory, Music, Information retrieval BibRef

Nogueira, W., Nagathil, A., Martin, R.,
Making Music More Accessible for Cochlear Implant Listeners: Recent Developments,
SPMag(36), No. 1, January 2019, pp. 115-127.
IEEE DOI 1901
Electrodes, Auditory system, Multiple signal classification, Timbre, Encoding, Instruments, Assistive technologies, Implants, Music, Cochlear implants BibRef

Bank, B., Chabassier, J.,
Model-Based Digital Pianos: From Physics to Sound Synthesis,
SPMag(36), No. 1, January 2019, pp. 103-114.
IEEE DOI 1901
Instruments, Mathematical model, Computational modeling, Bridges, Music, Numerical models, Digital systems BibRef

Vijayan, K., Li, H., Toda, T.,
Speech-to-Singing Voice Conversion: The Challenges and Strategies for Improving Vocal Conversion Processes,
SPMag(36), No. 1, January 2019, pp. 95-102.
IEEE DOI 1901
Time-frequency analysis, Music, Linguistics, Human voice, Text processing BibRef

Humphrey, E.J., Reddy, S., Seetharaman, P., Kumar, A., Bittner, R.M., Demetriou, A., Gulati, S., Jansson, A., Jehan, T., Lehner, B., Krupse, A., Yang, L.,
An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music,
SPMag(36), No. 1, January 2019, pp. 82-94.
IEEE DOI 1901
Music, Human voice, Multiple signal classification, Computational modeling, Resonator filters, Instruments BibRef

Goto, M., Dannenberg, R.B.,
Music Interfaces Based on Automatic Music Signal Analysis: New Ways to Create and Listen to Music,
SPMag(36), No. 1, January 2019, pp. 74-81.
IEEE DOI 1901
Music, Multiple signal classification, Visualization, Signal analysis, Synchronization, Navigation, Optical switches BibRef

Mueller, M., Arzt, A., Balke, S., Dorfer, M., Widmer, G.,
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies,
SPMag(36), No. 1, January 2019, pp. 52-62.
IEEE DOI 1901
Music, Audio recording, Instruments, Multiple signal classification, Fingerprint recognition, Ditigal recording BibRef

Nam, J., Choi, K., Lee, J., Chou, S., Yang, Y.,
Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach,
SPMag(36), No. 1, January 2019, pp. 41-51.
IEEE DOI 1901
Tagging, Music, Multiple signal classification, Feature extraction, Spectrogram, Signal processing algorithms, Streaming media BibRef

Cano, E., FitzGerald, D., Liutkus, A., Plumbley, M.D., Stoter, F.,
Musical Source Separation: An Introduction,
SPMag(36), No. 1, January 2019, pp. 31-40.
IEEE DOI 1901
Music, Harmonic analysis, Multiple signal classification, Instruments, Spectrogram, Power harmonic filters, Source separation BibRef

Benetos, E., Dixon, S., Duan, Z., Ewert, S.,
Automatic Music Transcription: An Overview,
SPMag(36), No. 1, January 2019, pp. 20-30.
IEEE DOI 1901
Music, Multiple signal classification, Instruments, Harmonic analysis, Power harmonic filters, Audio systems BibRef

Agrawal, R.[Ruchit], Wolff, D.[Daniel], Dixon, S.[Simon],
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization,
SPLetters(29), 2022, pp. 344-348.
IEEE DOI 2202
Synchronization, Task analysis, Convolution, Hidden Markov models, Computational modeling, Predictive models, stand-alone self-attention BibRef

Ferretti, S.,
Clustering of Musical Pieces Through Complex Networks: An Assessment Over Guitar Solos,
MultMedMag(25), No. 4, October 2018, pp. 57-67.
IEEE DOI 1901
Music, Complex networks, Measurement, Clustering algorithms, Instruments, Partitioning algorithms, Mathematical model BibRef

Li, B., Liu, X., Dinesh, K., Duan, Z., Sharma, G.,
Creating a Multitrack Classical Music Performance Dataset for Multimodal Music Analysis: Challenges, Insights, and Applications,
MultMed(21), No. 2, February 2019, pp. 522-535.
IEEE DOI 1902
Music, Visualization, Instruments, Audio recording, Synchronization, Source separation, Multimodal music dataset, synchronization BibRef

Baelde, M.[Maxime], Biernacki, C.[Christophe], Greff, R.[Raphaël],
Real-Time monophonic and polyphonic audio classification from power spectra,
PR(92), 2019, pp. 82-92.
Elsevier DOI 1905
Real-time, Audio classification, Machine learning, Monophonic, Polyphonic, Generative model, Nonparametric estimation BibRef

Raposo, F.A.[Francisco Afonso], de Matos, D.M.[David Martins], Ribeiro, R.[Ricardo],
An information-theoretic approach to machine-oriented music summarization,
PRL(123), 2019, pp. 75-81.
Elsevier DOI 1906
Summarization, Bag-of-features, Music BibRef

Nakajima, H., Kitamura, D., Takamune, N., Saruwatari, H., Ono, N.,
Bilevel Optimization Using Stationary Point of Lower-Level Objective Function for Discriminative Basis Learning in Nonnegative Matrix Factorization,
SPLetters(26), No. 6, June 2019, pp. 818-822.
IEEE DOI 1906
approximation theory, audio signal processing, matrix decomposition, music, optimisation, source separation, SNMF, audio signal separation BibRef

Lopes, P., Liapis, A., Yannakakis, G.N.,
Modelling Affect for Horror Soundscapes,
AffCom(10), No. 2, April 2019, pp. 209-222.
IEEE DOI 1906
Games, Computational modeling, Music, Predictive models, Crowdsourcing, Libraries, Visualization, Horror, sonification, tension, rank annotations BibRef

Mo, S., Niu, J.,
A Novel Method Based on OMPGW Method for Feature Extraction in Automatic Music Mood Classification,
AffCom(10), No. 3, July 2019, pp. 313-324.
IEEE DOI 1909
Feature extraction, Mood, Multiple signal classification, Time-frequency analysis, Matching pursuit algorithms, wigner distribution function BibRef

Yuan, W., Wang, S., Li, X., Unoki, M., Wang, W.,
A Skip Attention Mechanism for Monaural Singing Voice Separation,
SPLetters(26), No. 10, October 2019, pp. 1481-1485.
IEEE DOI 1909
Music, Spectrogram, Feature extraction, Decoding, Time-frequency analysis, Convolution, Training, Skip attention, monaural singing voice separation BibRef

Herremans, D., Chew, E.,
MorpheuS: Generating Structured Music with Constrained Patterns and Tension,
AffCom(10), No. 4, October 2019, pp. 510-523.
IEEE DOI 1912
Music, Optimization, Pattern recognition, Markov processes, Computational modeling, Rhythm, Entertainment industry, pattern recognition BibRef

Skoki, A.[Arian], Ljubic, S.[Sandi], Lerga, J.[Jonatan], Štajduhar, I.[Ivan],
Automatic music transcription for traditional woodwind instruments sopele,
PRL(128), 2019, pp. 340-347.
Elsevier DOI 1912
Automatic music transcription, Traditional woodwind instrument, Sopele, Machine learning BibRef

Wang, Q.Q.[Qian-Qian], Su, F.[Feng], Wang, Y.Y.[Yu-Yang],
Hierarchical attentive deep neural networks for semantic music annotation through multiple music representations,
MultInfoRetr(9), No. 1, March 2020, pp. 3-16.
WWW Link. 2003
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Tian, C.Z.[Cong-Zhou], Li, H.Y.[Hang-Yu], Yang, D.[Deshun], Chen, X.[Xiaoou],
GEN-RES-NET: A Novel Generative Model for Singing Voice Separation,
MMMod20(I:26-36).
Springer DOI 2003
BibRef

Tian, C.Z.[Cong-Zhou], Yang, D.S.[De-Shun], Chen, X.[Xiaoou],
A Distinct Synthesizer Convolutional Tasnet for Singing Voice Separation,
MMMod20(I:37-48).
Springer DOI 2003
BibRef

Mélo, D.[Daniel], Andrade, N.[Nazareno],
Exploiting the Importance of Personalization When Selecting Music for Relaxation,
MMMod20(I:49-61).
Springer DOI 2003
BibRef

Metzig, C.[Cornelia], Gould, M.[Matthew], Noronha, R.[Roshan], Abbey, R.[Roshani], Sandler, M.[Mark], Colijn, C.[Caroline],
Classification of origin with feature selection and network construction for folk tunes,
PRL(133), 2020, pp. 356-364.
Elsevier DOI 2005
Melody feature extraction, Random forest, Similarity networks BibRef

Thalmann, F., Wiggins, G.A., Sandler, M.B.,
Representing Modifiable and Reusable Musical Content on the Web With Constrained Multi-Hierarchical Structures,
MultMed(22), No. 10, October 2020, pp. 2645-2658.
IEEE DOI 2009
Music, Instruments, Streaming media, Vegetation, Semantic Web, Diamond, Knowledge representation, semantic web, logic programming, computer generated music BibRef

Arce-Lopera, C.[Carlos], Sarria M., G.M.[Gerardo M.],
Understanding Salsa: How Computing Is Defining Latin Music,
CACM(63), No. 11, November 2020, pp. 59-60.
DOI Link 2010
BibRef

Panda, R., Malheiro, R., Paiva, R.P.,
Novel Audio Features for Music Emotion Recognition,
AffCom(11), No. 4, October 2020, pp. 614-626.
IEEE DOI 2011
Rhythm, Emotion recognition, Feature extraction, Estimation, Color, Psychology, Affective computing, audio databases, music information retrieval BibRef

Panda, R.[Renato], Malheiro, R.[Ricardo], Paiva, R.P.[Rui Pedro],
Audio Features for Music Emotion Recognition: A Survey,
AffCom(14), No. 1, January 2023, pp. 68-88.
IEEE DOI 2303
Rhythm, Feature extraction, Emotion recognition, Psychology, Indexes, Machine learning, Affective computing, music emotion recognition, music information retrieval BibRef

Ferraro, A.[Andres], Favory, X.[Xavier], Drossos, K.[Konstantinos], Kim, Y.[Yuntae], Bogdanov, D.[Dmitry],
Enriched Music Representations With Multiple Cross-Modal Contrastive Learning,
SPLetters(28), 2021, pp. 733-737.
IEEE DOI 2105
Music, Task analysis, Multiple signal classification, Training, Mood, Metadata, Recommender systems, Acoustic signal processing, Recommender systems BibRef

Wei, W.L.[Wen-Li], Lin, J.C.[Jen-Chun], Liu, T.L.[Tyng-Luh], Tyan, H.R.[Hsiao-Rong], Wang, H.M.[Hsin-Min], Liao, H.Y.M.[Hong-Yuan Mark],
Learning to Visualize Music Through Shot Sequence for Automatic Concert Video Mashup,
MultMed(23), 2021, pp. 1731-1743.
IEEE DOI 2106
Visualization, Mashups, Music, Head, Recurrent neural networks, Knowledge engineering, Task analysis, Types of shots, knowledge distillation BibRef

Lin, Y.H.[Yi-Hsun], Chen, H.H.[Homer H.],
Tag Propagation and Cost-Sensitive Learning for Music Auto-Tagging,
MultMed(23), 2021, pp. 1605-1616.
IEEE DOI 2106
Training, Training data, Propagation losses, Multimedia systems, Tagging, Music, Social networking (online), Music auto-tagging, cost-sensitive learning BibRef

Yu, S.[Shuai], Yu, Y.[Yi], Chen, X.[Xi], Li, W.[Wei],
HANME: Hierarchical Attention Network for Singing Melody Extraction,
SPLetters(28), 2021, pp. 1006-1010.
IEEE DOI 2106
Feature extraction, Data mining, Adaptation models, Training data, Training, Computational modeling, Task analysis, singing melody extraction BibRef

Chiu, C.Y.[Ching-Yu], Su, A.W.Y.[Alvin Wen-Yu], Yang, Y.H.[Yi-Hsuan],
Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking,
SPLetters(28), 2021, pp. 1100-1104.
IEEE DOI 2106
Hidden Markov models, Source separation, Music, Training, Deep learning, Testing, source separation BibRef

Zhang, W.[Wen], Zhang, Y.H.[Yong-Hui], She, Y.J.[Yan-Jun], Shao, J.[Jie],
Stereo Feature Enhancement and Temporal Information Extraction Network for Automatic Music Transcription,
SPLetters(28), 2021, pp. 1500-1504.
IEEE DOI 2108
Feature extraction, Convolution, Tensors, Music, Multiple signal classification, Task analysis, temporal convolution BibRef

Segal, Y.[Yael], Arama-Chayoth, M.[May], Keshet, J.[Joseph],
Pitch Estimation by Multiple Octave Decoders,
SPLetters(28), 2021, pp. 1610-1614.
IEEE DOI 2108
Decoding, Estimation, Frequency estimation, Training, Task analysis, Predictive models, Convolutional neural networks, speech processing BibRef

Dufour, I.[Isabelle], Tzanetakis, G.[George],
Using Circular Models to Improve Music Emotion Recognition,
AffCom(12), No. 3, July 2021, pp. 666-681.
IEEE DOI 2109
Mood, Emotion recognition, Computational modeling, Task analysis, Music, Predictive models, Music emotion recognition, circular annotations BibRef

Yesiler, F.[Furkan], Doras, G.[Guillaume], Bittner, R.M.[Rachel M.], Tralie, C.J.[Christopher J.], Serrà, J.[Joan],
Audio-Based Musical Version Identification: Elements and challenges,
SPMag(38), No. 6, November 2021, pp. 115-136.
IEEE DOI 2112
Music, Emotion recognition, Art, Audio systems BibRef

Dimitrakopoulos, G.J.[George J.], Panagiotopoulos, I.E.[Ilias E.],
In-Vehicle Infotainment Systems: Using Bayesian Networks to Model Cognitive Selection of Music Genres,
ITS(22), No. 11, November 2021, pp. 6900-6909.
IEEE DOI 2112
Automobiles, Roads, Entertainment industry, Bayes methods, Music, Bayesian networking concepts, cognitive functionality, optimal music genre BibRef

Serrano, S.[Salvatore], Sahbudin, M.A.B.[Murtadha Arif Bin], Chaouch, C.[Chakib], Scarpa, M.[Marco],
A new fingerprint definition for effective song recognition,
PRL(160), 2022, pp. 135-141.
Elsevier DOI 2208
Song recognition, Audio fingerprint, Power spectral density, Hamming distance, Binary fingerprints BibRef

Hu, Y.[Ying], Chen, Y.D.[Ya-Dong], Yang, W.Z.[Wen-Zhong], He, L.[Liang], Huang, H.[Hao],
Hierarchic Temporal Convolutional Network With Cross-Domain Encoder for Music Source Separation,
SPLetters(29), 2022, pp. 1517-1521.
IEEE DOI 2208
Decoding, Time-domain analysis, Training, Convolution, Calibration, Spectrogram, Source separation, Music source separation, temporal convolutional network BibRef

Wang, X.[Xian], Liu, L.Q.[Ling-Qiao], Shi, J.Q.F.[Javen Qin-Feng],
Computationally Efficient Dilated Convolutional Model for Melody Extraction,
SPLetters(29), 2022, pp. 1599-1603.
IEEE DOI 2208
Convolution, Computational modeling, Kernel, Feature extraction, Harmonic analysis, Transforms, Training data, Melody extraction, computational cost BibRef

Wang, D.J.[Dong-Jing], Zhang, X.[Xin], Wan, Y.[Yao], Yu, D.J.[Dong-Jin], Xu, G.D.[Guan-Dong], Deng, S.G.[Shui-Guang],
Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation,
MultMed(24), 2022, pp. 4170-4182.
IEEE DOI 2209
Music, Recommender systems, Task analysis, Context modeling, Computer science, Collaboration, Real-time systems, music recommendation BibRef

Chiu, C.Y.[Ching-Yu], Müller, M.[Meinard], Davies, M.E.P.[Matthew E. P.], Su, A.W.Y.[Alvin Wen-Yu], Yang, Y.H.[Yi-Hsuan],
An Analysis Method for Metric-Level Switching in Beat Tracking,
SPLetters(29), 2022, pp. 2153-2157.
IEEE DOI 2211
Musical beat. Measurement, Switches, Hidden Markov models, Harmonic analysis, Behavioral sciences, Visualization, Beat tracking, evaluation metrics BibRef

de Matos, D.[Diognei], Ramos, W.[Washington], Silva, M.[Michel], Romanhol, L.[Luiz], Nascimento, E.R.[Erickson R.],
A multimodal hyperlapse method based on video and songs' emotion alignment,
PRL(166), 2023, pp. 174-181.
Elsevier DOI 2302
Hyperlapse, Acoustic features, First-Person video, Dynamic time warping, Multimodal frame sampling BibRef

Yang, S.[Simin], Reed, C.N.[Courtney N.], Chew, E.[Elaine], Barthet, M.[Mathieu],
Examining Emotion Perception Agreement in Live Music Performance,
AffCom(14), No. 2, April 2023, pp. 1442-1460.
IEEE DOI 2306
Music, Annotations, Mood, Reliability, Computational modeling, Emotion recognition, Semantics, Music and emotion, music information retrieval BibRef

Hu, Z.J.[Zhe-Jing], Liu, Y.[Yan], Chen, G.[Gong], Liu, Y.X.[Yong-Xu],
Can Machines Generate Personalized Music? A Hybrid Favorite-Aware Method for User Preference Music Transfer,
MultMed(25), 2023, pp. 2296-2308.
IEEE DOI 2306
Music, Phase transformers, Training, Multiple signal classification, Task analysis, music style transfer BibRef

Terroso-Saenz, F.[Fernando], Soto, J.[Jesús], Muñoz, A.[Andres],
Music Mobility Patterns: How Songs Propagate Around The World Through Spotify,
PR(143), 2023, pp. 109807.
Elsevier DOI 2310
Music Streaming Services, Mobility Patterns, Spotify, Prediction BibRef

Shih, Y.J.[Yi-Jen], Wu, S.L.[Shih-Lun], Zalkow, F.[Frank], Müller, M.[Meinard], Yang, Y.H.[Yi-Hsuan],
Theme Transformer: Symbolic Music Generation With Theme-Conditioned Transformer,
MultMed(25), 2023, pp. 3495-3508.
IEEE DOI 2310
BibRef

Bao, C.H.[Chun-Hui], Sun, Q.[Qianru],
Generating Music With Emotions,
MultMed(25), 2023, pp. 3602-3614.
IEEE DOI 2310
BibRef

Yang, W.M.[Wei-Ming], Wang, X.[Xianke], Tian, B.[Bowen], Xu, W.[Wei], Cheng, W.Q.[Wen-Qing],
A Multi-Stage Automatic Evaluation System for Sight-Singing,
MultMed(25), 2023, pp. 3881-3893.
IEEE DOI 2310
BibRef

Chang, P.C.[Pei-Chun], Chen, Y.S.[Yong-Sheng], Lee, C.H.[Chang-Hsing],
IIOF: Intra- and Inter-feature orthogonal fusion of local and global features for music emotion recognition,
PR(148), 2024, pp. 110200.
Elsevier DOI Code:
WWW Link. 2402
Music emotion recognition, SincNet, ResNet, Orthogonal fusion BibRef

Ji, S.[Shulei], Yang, X.Y.[Xin-Yu],
EmoMusicTV: Emotion-Conditioned Symbolic Music Generation With Hierarchical Transformer VAE,
MultMed(26), 2024, pp. 1076-1088.
IEEE DOI 2402
Lead, Task analysis, Transformers, Music, Bars, Internet, Information services, Symbolic music generation, lead sheets, transformer BibRef

Zhao, Z.[Zimeng], Zuo, B.H.[Bing-Hui], Wang, Y.G.[Yan-Gang],
Music Conditioned Generation for Human-Centric Video,
SPLetters(31), 2024, pp. 506-510.
IEEE DOI 2402
Multiple signal classification, Generative adversarial networks, Correlation, Visualization, human-centric BibRef

Edwards, D.[Drew], Dixon, S.[Simon], Benetos, E.[Emmanouil], Maezawa, A.[Akira], Kusaka, Y.[Yuta],
A Data-Driven Analysis of Robust Automatic Piano Transcription,
SPLetters(31), 2024, pp. 681-685.
IEEE DOI 2403
Data augmentation, Training, Data models, Training data, Recording, Pipelines, Acoustics, Piano transcription, data augmentation BibRef

Hu, Z.J.[Zhe-Jing], Ma, X.[Xiao], Liu, Y.[Yan], Chen, G.[Gong], Liu, Y.X.[Yong-Xu], Dannenberg, R.B.[Roger B.],
The Beauty of Repetition: An Algorithmic Composition Model With Motif-Level Repetition Generator and Outline-to-Music Generator in Symbolic Music Generation,
MultMed(26), 2024, pp. 4320-4333.
IEEE DOI 2403
Generators, Music, Transformers, Computational modeling, Machine learning algorithms, Rhythm, Multimedia computing, repetition modeling BibRef

Liang, Q.H.[Qi-Hao], Wang, Y.[Ye],
Drawlody: Sketch-Based Melody Creation With Enhanced Usability and Interpretability,
MultMed(26), 2024, pp. 7074-7088.
IEEE DOI 2405
Usability, Feature extraction, Rhythm, Computational modeling, Transformers, Human computer interaction, melody contour BibRef

Wang, X.[Xian],
Enhancing Vocal Melody Extraction With Multilevel Contexts,
SPLetters(31), 2024, pp. 1304-1308.
IEEE DOI 2405
Convolution, Hidden Markov models, Context modeling, Harmonic analysis, Time-frequency analysis, Data mining, long-short term memory (LSTM) BibRef

Zhu, G.[Ge], Caceres, J.P.[Juan-Pablo], Duan, Z.Y.[Zhi-Yao], Bryan, N.J.[Nicholas J.],
MusicHiFi: Fast High-Fidelity Stereo Vocoding,
SPLetters(31), 2024, pp. 2365-2369.
IEEE DOI 2410
Vocoders, Training, Generators, Bandwidth, Frequency modulation, Convolution, Computer architecture, Music generation, mono-to-stereo upmixing BibRef

Lange-Nawka, D.[Dominik], Wünsche, B.C.[Burkhard C.], Thompson, S.E.R.[Samuel E. R.],
Auditory Temporal Hints in AR Piano Tutoring,
IVCNZ23(1-6)
IEEE DOI 2403
Headphones, Visualization, Instruments, Rhythm, Cognitive load, Augmented reality, Augmented Reality, Piano, Sonification, Metronome BibRef

Zhuo, L.[Le], Wang, Z.[Zhaokai], Wang, B.[Baisen], Liao, Y.[Yue], Bao, C.X.[Chen-Xi], Peng, S.[Stanley], Han, S.[Songhao], Zhang, A.[Aixi], Fang, F.[Fei], Liu, S.[Si],
Video Background Music Generation: Dataset, Method and Evaluation,
ICCV23(15591-15601)
IEEE DOI Code:
WWW Link. 2401
BibRef

Marchellus, M.[Matthew], Park, I.K.[In Kyu],
M2C: Concise Music Representation for 3D Dance Generation,
AMFG23(3118-3127)
IEEE DOI 2401
BibRef

McKee, D.[Daniel], Salamon, J.[Justin], Sivic, J.[Josef], Russell, B.[Bryan],
Language-Guided Music Recommendation for Video via Prompt Analogies,
CVPR23(14784-14793)
IEEE DOI 2309
BibRef

Chen, H.H.[Hsin-Hung], Lerch, A.[Alexander],
Music Instrument Classification Reprogrammed,
MMMod23(I: 345-357).
Springer DOI 2304
BibRef

Surís, D.[Dídac], Vondrick, C.[Carl], Russell, B.[Bryan], Salamon, J.[Justin],
It's Time for Artistic Correspondence in Music and Video,
CVPR22(10554-10564)
IEEE DOI 2210
Annotations, Transformers, Pattern recognition, Multiple signal classification, Task analysis, Context modeling, Vision + X BibRef

Goren, O.[Or], Nachmani, E.[Eliya], Wolf, L.B.[Lior B.],
A-Muze-Net: Music Generation by Composing the Harmony Based on the Generated Melody,
MMMod22(I:557-568).
Springer DOI 2203
BibRef

Srivastava, A.[Abhishek], Duan, W.[Wei], Shah, R.R.[Rajiv Ratn], Wu, J.M.[Jian-Ming], Tang, S.[Suhua], Li, W.[Wei], Yu, Y.[Yi],
Melody Generation from Lyrics Using Three Branch Conditional LSTM-GAN,
MMMod22(I:569-581).
Springer DOI 2203
BibRef

Zhao, Y.L.[Yi-Lun], Guo, J.[Jia],
Musicoder: A Universal Music-acoustic Encoder Based on Transformer,
MMMod21(I:417-429).
Springer DOI 2106
BibRef

Feng, W.[Weite], Li, T.[Tong], Yu, H.Y.[Hai-Yang], Yang, Z.[Zhen],
A Hybrid Music Recommendation Algorithm Based on Attention Mechanism,
MMMod21(I:328-339).
Springer DOI 2106
BibRef

Watanabe, K.[Kento], Goto, M.[Masataka],
Atypical Lyrics Completion Considering Musical Audio Signals,
MMMod21(I:174-186).
Springer DOI 2106
BibRef

Gajdusek, P.[Pavel], Peska, L.[Ladislav],
Spotifygraph: Visualisation of User's Preferences in Music,
MMMod21(II:379-384).
Springer DOI 2106
BibRef

Galajda, J.E.[Jacob E.], Royal, B.[Brandon], Hua, K.A.[Kien A.],
Deep Composer: A Hash-Based Duplicative Neural Network For Generating Multi-Instrument Songs,
ICPR21(7961-7968)
IEEE DOI 2105
Knowledge engineering, Art, Instruments, Neural networks, Music, Cloning, Pattern recognition BibRef

Cheuk, K.W.[Kin Wai], Luo, Y.J.[Yin-Jvun], Benetos, E.[Emmanouil], Herremans, D.[Dorien],
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy,
ICPR21(9091-9098)
IEEE DOI 2105
Training, Measurement, Time-frequency analysis, Transforms, Predictive models, Market research, Pattern recognition BibRef

Dervakos, E.[Edmund], Filandrianos, G.[Giorgos], Stamou, G.[Giorgos],
Heuristics for Evaluation of AI Generated Music,
ICPR21(9164-9171)
IEEE DOI 2105
Measurement, Deep learning, Adaptation models, Neural networks, Tools, Harmonic analysis, Pattern recognition BibRef

Tuggener, L.[Lukas], Satyawan, Y.P.[Yvan Putra], Pacha, A.[Alexander], Schmidhuber, J.[Jürgen], Stadelmann, T.[Thilo],
The DeepScoresV2 Dataset and Benchmark for Music Object Detection,
ICPR21(9188-9195)
IEEE DOI 2105
Integrated optics, Annotations, Shape, Object detection, Detectors, Benchmark testing, Rhythm, Optical music recognition, music object detection BibRef

Mani, S.[Sharmila], Rao, M.[Madhav],
Feasibility Study of using MyoBand for Learning Electronic Keyboard,
ICPR21(10196-10202)
IEEE DOI 2105
Electrodes, Presses, Tracking, Instruments, Wearable computers, Fingers, Music BibRef

Zhu, H.[Hao], Li, Y.[Yi], Zhu, F.X.[Fei-Xia], Zheng, A.[Aihua], He, R.[Ran],
Let's Play Music: Audio-Driven Performance Video Generation,
ICPR21(3574-3581)
IEEE DOI 2105
Instruments, Transforms, Synchronization, Data mining, Task analysis, Space heating BibRef

Pavlín, T.[Tomáš], Cech, J.[Jan], Matas, J.G.[Jirí G.],
Ballroom Dance Recognition from Audio Recordings,
ICPR21(2142-2149)
IEEE DOI 2105
Training, Image segmentation, TV, Predictive models, Audio recording, Feature extraction, Mobile handsets BibRef

Steiner, P.[Peter], Jalalvand, A.[Azarakhsh], Stone, S.[Simon], Birkholz, P.[Peter],
Feature Engineering and Stacked Echo State Networks for Musical Onset Detection,
ICPR21(9537-9544)
IEEE DOI 2105
Training, Target tracking, Image recognition, Neural networks, Linear regression, Music, Speech recognition, Reservoir computing, note onset detection BibRef

Yu, Y.[Yi], Harscoët, F.[Florian], Canales, S.[Simon], Reddy, M.G.[M. Gurunath], Tang, S.[Suhua], Jiang, J.J.[Jun-Jun],
Lyrics-conditioned Neural Melody Generation,
MMMod20(II:709-714).
Springer DOI 2003
BibRef

Nelson, C., Wünsche, B.C.,
A Low-Spec Extendable GPU-Based Audio Library,
IVCNZ18(1-5)
IEEE DOI 1902
Graphics processing units, Graphics, Libraries, Games, Hardware, Pipelines, Music, audio libraries, graphics hardware, GPGPU BibRef

Iino, N.[Nami], Shimada, M.[Mayumi], Nishimura, T.[Takuichi], Takeda, H.[Hideaki], Hamanaka, M.[Masatoshi],
Proposal of an Annotation Method for Integrating Musical Technique Knowledge Using a GTTM Time-Span Tree,
MMMod19(I:616-627).
Springer DOI 1901
BibRef

Takamori, H.[Hirofumi], Nakatsuka, T.[Takayuki], Fukayama, S.[Satoru], Goto, M.[Masataka], Morishima, S.[Shigeo],
Audio-Based Automatic Generation of a Piano Reduction Score by Considering the Musical Structure,
MMMod19(II:169-181).
Springer DOI 1901
BibRef

Perez-Carrillo, A.[Alfonso],
Violin Timbre Navigator: Real-Time Visual Feedback of Violin Bowing Based on Audio Analysis and Machine Learning,
MMMod19(II:182-193).
Springer DOI 1901
BibRef

de Paz, E.G.G.[Erick G. G.], Quintero-Flores, M.[Malaquías], Quiñones-Solís, X.[Xavier],
On the Construction of a Specific Algebra for Composing Tonal Counterpoint,
MCPR18(31-40).
Springer DOI 1807
BibRef

Bokshi, M., Tao, F., Busso, C., Hansen, J.H.L.,
Assessment and classification of singing quality based on audio-visual features,
VCIP17(1-4)
IEEE DOI 1804
audio signal processing, feature extraction, music, regression analysis, signal classification, speech enhancement, singer quality assessment BibRef

Xu, X.S.[Xiao-Shuo], Cheng, Y.[Yao], Chen, X.[Xiaoou], Yang, D.[Deshun],
Efficient Two-Layer Model Towards Cover Song Identification,
MMMod18(II:118-128).
Springer DOI 1802
BibRef

Yang, W.Z.[Wan-Zhao], Tu, W.P.[Wei-Ping], Zheng, J.X.[Jia-Xi], Zhang, X.[Xiong], Yang, Y.H.[Yu-Hong], Song, Y.C.[Yu-Cheng],
An RNN-Based Speech-Music Discrimination Used for Hybrid Audio Coder,
MMMod18(I:81-92).
Springer DOI 1802
BibRef

Qi, X.Y.[Xiao-Yu], Yang, D.[Deshun], Chen, X.[Xiaoou],
Triplet Convolutional Network for Music Version Identification,
MMMod18(I:544-555).
Springer DOI 1802
BibRef

Gómez, E., Arias, P., Zinemanas, P., Haro, G.,
Visual Music Transcription of Clarinet Video Recordings Trained with Audio-Based Labelled Data,
CVAVM17(463-470)
IEEE DOI 1802
Feature extraction, Instruments, Kalman filters, Skin, Video recording, Visualization BibRef

Chapaneri, S.[Santosh], Jayaswal, D.[Deepak],
Structured Prediction of Music Mood with Twin Gaussian Processes,
PReMI17(647-654).
Springer DOI 1711
BibRef

Sra, M., Vijayaraghavan, P., Rudovic, O., Maes, P., Roy, D.,
DeepSpace: Mood-Based Image Texture Generation for Virtual Reality from Music,
DeepAffective17(2289-2298)
IEEE DOI 1709
Image generation, Mood, Neural networks, Solid modeling, Training, Virtual reality BibRef

Kacprzak, S., Chwiecko, B., Ziólko, B.,
Speech/music discrimination for analysis of radio stations,
WSSIP17(1-4)
IEEE DOI 1707
Frequency modulation, Multimedia communication, Multiple signal classification, Rocks, Speech, Speech processing, radio content analysis, sound classification, speech/music, discrimination BibRef