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This study deals with content-based musical playlists generation focused on Songs and Instrumentals.
Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography
Fischler, M.A.; Bolles, R.C · 1981
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Social information filtering: algorithms for automating “word of mouth”
Shardanand, U.; Maes, P · 1995
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Preventing ”overfitting” of cross-validation data
Ng, A.Y · 1997
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Generating ROC curves for artificial neural networks
Woods, K.; Bowyer, K.W · 1997
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Empirical analysis of predictive algorithms for collaborative filtering
Breese, J.S.; Heckerman, D.; Kadie, C · 1998
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Automatic generation of music programs
Pachet, F.; Roy, P · 1999
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A review of factors affecting music recommender success
Uitdenbogerd, A.; Schyndel, R · 2002
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Musical genre classification of audio signals
Tzanetakis, G.; Cook, P · 2002
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Singer identification in popular music recordings using voice coding features
Kim, Y.E.; Whitman, B · 2002
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Content-based playlist generation: exploratory experiments
Logan, B · 2002
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Personalization of user profiles for content-based music retrieval based on relevance feedback
Hoashi, K.; Matsumoto, K.; Inoue, N · 2003
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The importance of cross database evaluation in sound classification
Livshin, A.; Rodet, X · 2003
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Automatic labeling of unpitched percussion sounds
Herrera, P.; Dehamel, A.; Gouyon, F · 2003
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Automatic record reviews
Whitman, B.; Ellis, D.P.W · 2004
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Singing voice detection in popular music
Nwe, T.L.; Shenoy, A.; Wang, Y · 2004
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Foafing the music: a music recommendation system based on RSS feeds and user preferences
Celma, Ò.; Ramírez, M.; Herrera, P · 2005
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A cross-cultural study of mobile music: retrieval, management and consumption
Nettamo, E.; Nirhamo, M.; Häkkilä, J · 2006
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Music complexity: a multi-faceted description of audio content
Streich, S · 2006
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Ground truth for automatic music mood classification
Skowronek, J.; McKinney, M.F.; van de Par, S · 2006
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Meta-Features and AdaBoost for Music Classification
Bergstra, J.; Casagrande, N.; Erhan, D.; Eck, D.; Kegl, B · 2006
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Improving efficiency and scalability of model-based music recommender system based on incremental training
Yoshii, K.; Goto, M.; Komatani, K.; Ogata, T.; Okuno, H.G · 2007
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Tag recommendations in folksonomies
Jäschke, R.; Marinho, L.; Hotho, A.; Schmidt-Thieme, L.; Stumme, G · 2007
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Audio music mood classification using support vector machine
Laurier, C.; Herrera, P · 2007
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A semantic space for music derived from social tags
Levy, M.; Sandler, M.B · 2007
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Tagatune : a game for music and sound annotation
Law, E.L.M.; von Ahn, L.; Dannenberg, R.B.; Crawford, M · 2007
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Towards musical query-by-semantic-description using the CAL500 data set
Turnbull, D.; Barrington, L.; Torres, D.; Lanckriet, G · 2007
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A music search engine built upon audio-based and web-based similarity measures
Knees, P.; Pohle, T.; Schedl, M.; Widmer, G · 2007
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Automatic generation of social tags for music recommendation
Eck, D.; Lamere, P.; Bertin-Mahieux, T.; Green, S · 2007
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A probabilistic music recommender considering user opinions and audio features
Li, Q.; Myaeng, S.H.; Kim, B.M · 2007
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Collaborative filtering recommender systems. In Adapt. Web
Schafer, B.J.; Frankowski, D.; Herlocker, J.; Sen, S · 2007
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Annotating music collections: how content-based similarity helps to propagate labels
Sordo, M.; Laurier, C.; Celma, Ò · 2007
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Effective singing voice detection in popular music using arma filtering
Lukashevich, H.; Gruhne, M.; Dittmar, C · 2007
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Semantic annotation and retrieval of music and sound effects
Turnbull, D.; Barrington, L.; Torres, D.; Lanckriet, G · 2008
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Personalized recommendation in social tagging systems using hierarchical clustering
Shepitsen, A.; Gemmell, J.; Mobasher, B.; Burke, R · 2008
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Multiple-instance learning for music information retrieval
Mandel, M.I.; Ellis, D.P.W · 2008
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Content-based music information retrieval: Current directions and future challenges
Casey, M.A.; Veltkamp, R.; Goto, M.; Leman, M.; Rhodes, C.; Slaney, M · 2008
Cited alongside, same era.
Vocal detection in music with support vector machines
Ramona, M.; Richard, G.; David, B · 2008
Cited alongside, same era.
Semantic gap?? Schemantic schmap!! Methodological considerations in the scientific study of music
Wiggins, G.A · 2009
Cited alongside, same era.
Singing voice detection in polyphonic music using predominant pitch
Rao, V.; Ramakrishnan, S.; Rao, P · 2009
Cited alongside, same era.
Improving automatic music tag annotation using stacked generalization of probabilistic SVM outputs
Ness, S.R.; Theocharis, A.; Tzanetakis, G.; Martins, L.G · 2009
Cited alongside, same era.
A music classification method based on timbral features
The state of the art ten years after a state of the art: Future research in music information retrieval
Sturm, B.L · 2014
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Within- and cross- database evaluations for face gender classification via BeFIT protocols
Erdoğmuş, N.; Vanoni, M.; Marcel, S · 2014
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A simple method to determine if a music information retrieval system is a ”Horse”
Sturm, B.L · 2014
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Formalizing the problem of music description
Sturm, B.L.; Bardeli, R.; Langlois, T.; Emiya, V · 2014
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Will algorithmic playlist curation be the end of music stardom?
Wikström, P · 2015
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Music recommender systems. In Recommender Systems Handbook
Schedl, M.; Knees, P.; McFee, B.; Bogdanov, D.; Kaminskas, M · 2015
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Langlois, T.; Marques, G · 2009
Cited alongside, same era.
Music genre classification via sparse representations of auditory temporal modulations
Panagakis, Y.; Kotropoulos, C.; Arce, G.R · 2009
Cited alongside, same era.
Robust face recognition via sparse representation
Wright, J.; Yang, A.Y.; Ganesh, A.; Sastry, S.S.; Ma, Y · 2009
Cited alongside, same era.
Audio Content Processing for Automatic Music Genre Classification: Descriptors, Databases, and Classifiers
Guaus, E · 2009
Cited alongside, same era.
Examining cross-database global training to evaluate five different methods for ventricular beat classification
Chudáček, V.; Georgoulas, G.; Lhotská, L.; Stylios, C.; Petrík, M.; Čepek, M · 2009
Cited alongside, same era.
Data mining for imbalanced datasets: An overview. In Data mining and knowledge discovery handbook
Chawla, N.V · 2009
Cited alongside, same era.
Singing voice detection in music tracks using direct voice vibrato detection
Regnier, L.; Peeters, G · 2009
Cited alongside, same era.
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Modeling genre with the Music Genome Project: comparing human-labeled attributes and audio features
Prockup, M.; Ehmann, A.F.; Gouyon, F.; Schmidt, E.M.; Celma, O.; Kim, Y.E · 2015
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Faults in the latin music database and with its use
Sturm, B.L · 2015
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Exploring data augmentation for improved singing voice detection with neural networks
Schlüter, J.; Grill, T · 2015
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Music Listening as Therapy
Rosenblatt, D · 2015
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A comparative evaluation of regression learning algorithms for facial age estimation. In Face and Facial Expression Recognition from Real World Videos
Fernández, C.; Huerta, I.; Prati, A · 2015
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Singing voice detection with deep recurrent neural networks
Leglaive, S.; Hennequin, R.; Badeau, R · 2015
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A low-latency, real-time-capable singing voice detection method with LSTM recurrent neural networks
Lehner, B.; Widmer, G.; Böck, S · 2015
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Towards playlist generation algorithms using RNNs trained on within-track transitions
Choi, K.; Fazekas, G.; Sandler, M · 2016
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PlaylistPlayer: an interface using multiple criteria to change the playback order of a music playlist
Nakano, T.; Kato, J.; Hamasaki, M.; Goto, M · 2016
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The Semantic Music Player: a smart mobile player based on ontological structures and analytical feature metadata
Thalmann, F.S.; Perez Carillo, A.; Fazekas, G.; Wiggins, G.A.; Sandler, M.B · 2016
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Sparse coding based music genre classification using spectro-temporal modulations
Hsu, K.C.; Lin, C.S.; Chi, T.S · 2016
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Learning temporal features using a deep neural network and its application to music genre classification
Jeong, I.Y.; Lee, K · 2016
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Automatic outlier detection in music genre datasets
Lu, Y.C.; Wu, C.W.; Lu, C.T.; Lerch, A · 2016
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Exploring customer reviews for music genre classification and evolutionary studies
Oramas, S.; Espinosa-Anke, L.; Lawlor, A.; Serra, X.; Saggion, H · 2016
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Revisiting priorities: improving MIR evaluation practices
Sturm, B.L · 2016
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Cross-sectional study on the relationship between music training and working memory in adults
Suárez, L.; Elangovan, S.; Au, A · 2016
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Musical intervention enhances infants’ neural processing of temporal structure in music and speech
Zhao, T.C.; Kuhl, P.K · 2016
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Classification à grande échelle de morceaux de musique en fonction de la présence de chant
Bayle, Y.; Hanna, P.; Robine, M · 2016
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Cross-collection evaluation for music classification tasks
Bogdanov, D.; Porter, A.; Herrera, P.; Serra, X · 2016
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Learning to pinpoint singing voice from weakly labeled examples
Schlüter, J · 2016
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Understanding Data Augmentation for Classification: When to Warp?
Wong, S.C.; Gatt, A.; Stamatescu, V.; McDonnell, M.D · 2016
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CQT-based convolutional neural networks for audio scene classification and Domestic Audio Tagging
Lidy, T.; Schindler, A · 2016
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Experimenting with musically motivated convolutional neural networks
Pons, J.; Lidy, T.; Serra, X · 2016
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Towards the characterization of singing styles in world music
Panteli, M.; Bittner, R.; Bello, J.P.; Dixon, S · 2017
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SATIN: A Persistent Musical Database for Music Information Retrieval
Bayle, Y.; Hanna, P.; Robine, M · 2017
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Generating data to train convolutional neural networks for classical music source separation
Miron, M.; Janer Mestres, J.; Gómez Gutiérrez, E · 2017
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A deep multimodal approach for cold-start music recommendation
Oramas, S.; Nieto, O.; Sordo, M.; Serra, X · 2017
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Deep learning and music adversaries
Kereliuk, C.; Sturm, B.L.; Larsen, J · 2071
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