Time-Slot Based Intelligent Music Recommender in Indian Music

Music listening is one of the most common thing of human behaviors. Normally mobile music is downloaded to mobile phones and played by mobile phones. Today millennial people use mobile music in about all the age groups. Music recommendation system enhances personalized music classifications that create a profile with the service and build up a music library based on the choice preferences using mobile cloud services. Music recommendation through cloud is therefore an emerging field, and this can be done using various parameters like song genre similarity, human behavior, human mood, song rhythmic patterns, seasons etc. In this article an intelligent music recommender system that identifies the raga name of one particular song music and then mapping with the raga time database and classify the songs according to their playing time and create time slot based personalized music libraries.

[1]  S. Hamid Nawab,et al.  Integration of DSP algorithms and musical constraints for the separation of partials in polyphonic music , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[2]  Irina Illina,et al.  A wavelet-based parameterization for speech/music discrimination , 2010, Comput. Speech Lang..

[3]  David S. Rosenblum,et al.  Context-aware mobile music recommendation for daily activities , 2012, ACM Multimedia.

[4]  Torben Bach Pedersen,et al.  Using Fuzzy Lists for Playlist Management , 2008, MMM.

[5]  Aaron Albin,et al.  Evaluating multiple viewpoint models of tabla sequences , 2010, MML '10.

[6]  Philip S. Yu,et al.  Music Recommendation Using Content and Context Information Mining , 2010, IEEE Intelligent Systems.

[7]  Andreas Rauber,et al.  On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-Western and ethnic music collections , 2010, Signal Process..

[8]  P. Sinha.  Artificial Composition: An Experiment on Indian Music , 2008 .

[9]  Herb Schildt,et al.  C++: The Complete Reference, 4th Edition , 2002 .

[10]  George Tzanetakis,et al.  Musical genre classification of audio signals , 2002, IEEE Trans. Speech Audio Process..

[11]  Ian H. Witten,et al.  Multiple viewpoint systems for music prediction , 1995 .

[12]  D. De,et al.  An approach to identify Thhat of Indian Classical Music , 2012, 2012 International Conference on Communications, Devices and Intelligent Systems (CODIS).

[13]  R. Geetha Ramani,et al.  Data Mining Techniques for Automatic Recognition of Carnatic Raga Swaram Notes , 2012 .

[14]  Adrian Walton.  A graph theoretic approach to tonal modulation , 2010 .

[15]  R. Avanzato.  Student use of personal digital assistants in a computer engineering course , 2001, 31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193).

[16]  Marc Chemillier,et al.  Synchronization of musical words , 2004, Theor. Comput. Sci..

[17]  Sandeep K. S. Gupta,et al.  Smart classroom: Enhancing collaborative learning using pervasive computing technology , 2003 .

[18]  Alfonso Ortega,et al.  A fitness function for computer-generated music using genetic algorithms , 2006 .

[19]  Jia Zhu.  Multimedia Music Teaching System Application , 2011 .

[20]  Frank Hopfgartner,et al.  Semantic user profiling techniques for personalised multimedia recommendation , 2010, Multimedia Systems.

[21]  Sylvain Moreno.  Can Music Influence Language and Cognition? , 2009 .

[22]  Berry Eggen,et al.  Realization and User Evaluation of an Automatic Playlist Generator , 2003, ISMIR.

[23]  Rajeswari Sridhar,et al.  Latent Dirichlet Allocation Model for Raga Identification of Carnatic Music , 2011 .

[24]  R. Sengupta.  Study on some aspects of the “singer's formant” in north indian classical singing , 1990 .

[25]  Feng Xia,et al.  Mobile Multimedia Recommendation in Smart Communities: A Survey , 2013, IEEE Access.

[26]  Christian Breiteneder,et al.  Features for Content-Based Audio Retrieval , 2010, Adv. Comput..

[27]  C. Krumhansl,et al.  Tonal hierarchies in the music of north India. , 1984, Journal of experimental psychology. General.

[28]  William T. M. Dunsmuir,et al.  Time series analysis of real-time music perception: approaches to the assessment of individual and expertise differences in perception of expressed affect , 2014 .

[29]  David Clampitt.  The legacy of John Clough in mathematical music theory , 2007 .

[30]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[31]  Michael C. Mozer,et al.  Neural Network Music Composition by Prediction: Exploring the Benefits of Psychoacoustic Constraints and Multi-scale Processing , 1994, Connect. Sci..

[32]  Ching-Hua Chuan,et al.  Polyphonic Audio Key Finding Using the Spiral Array CEG Algorithm , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[33]  John C. Platt.  A Resource-Allocating Network for Function Interpolation , 1991, Neural Computation.

[34]  Debashis De,et al.  Quality measure model of music rhythm using Genetic Algorithm , 2012, 2012 International Conference on Radar, Communication and Computing (ICRCC).

[35]  Andrew Gartland-Jones,et al.  The Suitability of Genetic Algorithms for Musical Composition , 2003 .

[36]  B Tarakeswara Rao,et al.  K-Nearest Neighbour and Earth Mover Distance for Raaga Recognition , 2011 .

[37]  Myriam Desainte-Catherine,et al.  A system of interactive scores based on Petri nets , 2007 .

[38]  Sunitha Abburu,et al.  Knowledge based Semantic Annotation Generation of Music , 2012 .

[39]  G. Haus,et al.  Scoresynth: A System for the Synthesis of Music Scores Based on Petri Nets and a Music Algebra , 1991, Computer.

[40]  D. De,et al.  Polymorphism in Indian Classical Music: A pattern recognition approach , 2012, 2012 International Conference on Communications, Devices and Intelligent Systems (CODIS).

[41]  Gaël Richard,et al.  Automatic Labelling of Tabla Signals , 2003 .

[42]  Roberto Bresin,et al.  Artificial neural networks based models for automatic performance of musical scores , 1998 .

[43]  Francis Eustache,et al.  Semantic and episodic memory of music are subserved by distinct neural networks , 2003, NeuroImage.

[44]  Gerti Kappel,et al.  A survey on UML-based aspect-oriented design modeling , 2011, CSUR.

[45]  Pierfrancesco Bellini,et al.  Multimedia music sharing among mediateques: Archives and distribution to their attendees , 2003, Appl. Artif. Intell..

[46]  I. Shmulevich,et al.  Establishing the tonal context for musical pattern recognition , 1997, Proceedings of 1997 Workshop on Applications of Signal Processing to Audio and Acoustics.

[47]  George R. Doddington,et al.  An integrated pitch tracking algorithm for speech systems , 1983, ICASSP.

[48]  Peter Knees,et al.  Combining audio-based similarity with web-based data to accelerate automatic music playlist generation , 2006, MIR '06.

[49]  R.D. Dony,et al.  Audio Environment Classication for Hearing Aids using Artificial Neural Networks with Windowed Input , 2007, 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing.

[50]  Robert B. France,et al.  A UML-based pattern specification technique , 2004, IEEE Transactions on Software Engineering.

[51]  Tor Sverre Lande,et al.  Object oriented music analysis , 1994, Comput. Humanit..

[52]  Debashis De,et al.  Pattern Classification of Indian Classical Ragas based on Object Oriented Concepts , 2012 .

[53]  Nikos Fakotakis,et al.  Exploiting Temporal Feature Integration for Generalized Sound Recognition , 2009, EURASIP J. Adv. Signal Process..

[54]  Anja Volk,et al.  Mathematical and computational approaches to music: challenges in an interdisciplinary enterprise , 2012 .

[55]  Igor Škrjanc,et al.  A Matlab based Petri net Tool for E-learning: Examples for timed simulation and scheduling , 2012 .

[56]  W. Bradley Rubenstein,et al.  A database design for musical information , 1987, SIGMOD '87.

[57]  Yoon Ho Cho,et al.  Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations , 2010, Inf. Sci..

[58]  Dirk-Jan Povel,et al.  Rhythm complexity measures for music pattern recognition , 1998, 1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175).

[59]  Vincent S. Tseng,et al.  A novel method for personalized music recommendation , 2009, Expert Syst. Appl..

[60]  Debashis De,et al.  A Framework of Musical Pattern Recognition Using Petri Nets , 2014 .

[61]  Debashis De,et al.  Object oriented classification and pattern recognition of Indian Classical Ragas , 2012, 2012 1st International Conference on Recent Advances in Information Technology (RAIT).

[62]  Panos J. Antsaklis,et al.  Supervisory Control of Concurrent Systems: A Petri Net Structural Approach (M.V. Iordache and P.J. Antsaklis; 2008) [Book reviews] , 2006, IEEE Transactions on Automatic Control.

[63]  Martin Dostál,et al.  Genetic Algorithms as a Model of Musical Creativity - on Generating of a Human-Like Rhythmic Accompaniment , 2005, Comput. Artif. Intell..

[64]  Peter Kabal,et al.  Speech/music discrimination for multimedia applications , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[65]  R. Sridhar.  Fundamental Frequency Estimation of Carnatic Music Songs Based on the Principle of Mutation , 2010 .

[66]  Xavier Serra,et al.  Towards Instrument Segmentation for Music Content Description: a Critical Review of Instrument Classification Techniques , 2000, ISMIR.

[67]  D. De,et al.  Inheritance in Indian Classical Music: An object-oriented analysis and pattern recognition approach , 2012, 2012 International Conference on Radar, Communication and Computing (ICRCC).

[68]  Antonio Puliafito,et al.  From UML to Petri Nets: The PCM-Based Methodology , 2011, IEEE Transactions on Software Engineering.

[69]  Muhammad Moinuddin,et al.  Automatic classification of speech and music using neural networks , 2004, MMDB '04.

[70]  Mariana Montiel,et al.  Music in the pedagogy of mathematics , 2014 .

[71]  Dragan Matic.  A GENETIC ALGORITHM FOR COMPOSING MUSIC , 2010 .

[72]  R. Sridhar.  Raga Identification of Carnatic music for Music Information Retrieval , 2009 .

[73]  I. Shmulevich,et al.  A system for machine recognition of music patterns , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[74]  Roddy Cowie,et al.  Beyond emotion archetypes: Databases for emotion modelling using neural networks , 2005, Neural Networks.

[75]  Omar López-Ortega,et al.  Fractals, fuzzy logic and expert systems to assist in the construction of musical pieces , 2012, Expert Syst. Appl..

[76]  Arto Lehtiniemi.  Evaluating SuperMusic: streaming context-aware mobile music service , 2008, ACE '08.

[77]  J C Brown.  Computer identification of musical instruments using pattern recognition with cepstral coefficients as features. , 1999, The Journal of the Acoustical Society of America.

[78]  Ronald J. Williams,et al.  A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.