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Ryuichi Oka - One of the best experts on this subject based on the ideXlab platform.

  • rwc Music database Music genre database and Musical instrument sound database
    International Symposium Conference on Music Information Retrieval, 2003
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    This paper describes the design policy and specifications of the RWC Music Database, a copyright-cleared Music database (DB) compiled specifically for research purposes. Shared DBs are common in other research fields and have made significant contributions to progress in those fields. The field of Music information processing, however, has lacked a common DB of Musical pieces or a large-scale DB of Musical instrument sounds. We therefore recently constructed the RWC Music Database comprising four original component DBs: the Popular Music Database (100 pieces), Royalty-Free Music Database (15 pieces), Classical Music Database (50 pieces), and Jazz Music Database (50 pieces). In this paper we report the construction of two additional component DBs: the Music Genre Database (100 pieces) and Musical Instrument Sound Database (50 instruments). For all 315 Musical pieces, we prepared original audio signals, corresponding standard MIDI files, and text files of lyrics (for songs). For all 50 instruments, we recorded individual sounds at half-tone intervals with several variations of playing styles, dynamics, instrument manufacturers, and Musicians. It is our hope that our DB will make a significant contribution to future advances in the field of Music information processing.

  • RWC Music Database: Classical Music Database and Jazz Music Database
    2002
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    This paper describes the design policy and overview ofRWC Music database that gives researchers freedom of common use and research use. Various commonly available databases have been built in other research fields because ofthe importance and significance ofthose databases. In the field ofMusical inf ormation processing, however, there has not been any commonly available Music database. We have therefore built two databases, "Popular Music Database" (100 pieces) and "Royalty-Free Music Database" (15 pieces). This paper reports that we built two more databases, "Classical Music Database" (50 pieces) and "Jazz Music Database" (50 pieces). We hope that these databases will encourage further advance in Musical information processing research.

  • rwc Music database popular classical and Jazz Music databases
    International Symposium Conference on Music Information Retrieval, 2002
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    paper describes the design policy and specifications of the RWC Music Database , a Music database (DB) that is available to researchers for common use and research purposes. Various com- monly available DBs have been built in other research fields and have made a significant contribution to the research in those fields. The field of Musical information processing, however, has lacked a commonly available Music DB. We therefore built the RWC Mu- sic Database which contains four original DBs: the Popular Music Database (100 pieces), Royalty-Free Music Database(15 pieces), Classical Music Database(50 pieces), and Jazz Music Database (50 pieces). Each consists of originally-recorded Music compact discs, standard MIDI files, and text files of lyrics. These DBs are now available in Japan at a cost equal to only duplication, shipping, and handling charges (virtually for free), and we plan to make them available outside Japan. We hope that our DB will encourage further advances in Musical information processing research.

Masataka Goto - One of the best experts on this subject based on the ideXlab platform.

  • rwc Music database Music genre database and Musical instrument sound database
    International Symposium Conference on Music Information Retrieval, 2003
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    This paper describes the design policy and specifications of the RWC Music Database, a copyright-cleared Music database (DB) compiled specifically for research purposes. Shared DBs are common in other research fields and have made significant contributions to progress in those fields. The field of Music information processing, however, has lacked a common DB of Musical pieces or a large-scale DB of Musical instrument sounds. We therefore recently constructed the RWC Music Database comprising four original component DBs: the Popular Music Database (100 pieces), Royalty-Free Music Database (15 pieces), Classical Music Database (50 pieces), and Jazz Music Database (50 pieces). In this paper we report the construction of two additional component DBs: the Music Genre Database (100 pieces) and Musical Instrument Sound Database (50 instruments). For all 315 Musical pieces, we prepared original audio signals, corresponding standard MIDI files, and text files of lyrics (for songs). For all 50 instruments, we recorded individual sounds at half-tone intervals with several variations of playing styles, dynamics, instrument manufacturers, and Musicians. It is our hope that our DB will make a significant contribution to future advances in the field of Music information processing.

  • RWC Music Database: Classical Music Database and Jazz Music Database
    2002
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    This paper describes the design policy and overview ofRWC Music database that gives researchers freedom of common use and research use. Various commonly available databases have been built in other research fields because ofthe importance and significance ofthose databases. In the field ofMusical inf ormation processing, however, there has not been any commonly available Music database. We have therefore built two databases, "Popular Music Database" (100 pieces) and "Royalty-Free Music Database" (15 pieces). This paper reports that we built two more databases, "Classical Music Database" (50 pieces) and "Jazz Music Database" (50 pieces). We hope that these databases will encourage further advance in Musical information processing research.

  • rwc Music database popular classical and Jazz Music databases
    International Symposium Conference on Music Information Retrieval, 2002
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    paper describes the design policy and specifications of the RWC Music Database , a Music database (DB) that is available to researchers for common use and research purposes. Various com- monly available DBs have been built in other research fields and have made a significant contribution to the research in those fields. The field of Musical information processing, however, has lacked a commonly available Music DB. We therefore built the RWC Mu- sic Database which contains four original DBs: the Popular Music Database (100 pieces), Royalty-Free Music Database(15 pieces), Classical Music Database(50 pieces), and Jazz Music Database (50 pieces). Each consists of originally-recorded Music compact discs, standard MIDI files, and text files of lyrics. These DBs are now available in Japan at a cost equal to only duplication, shipping, and handling charges (virtually for free), and we plan to make them available outside Japan. We hope that our DB will encourage further advances in Musical information processing research.

Hiroki Hashiguchi - One of the best experts on this subject based on the ideXlab platform.

  • rwc Music database Music genre database and Musical instrument sound database
    International Symposium Conference on Music Information Retrieval, 2003
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    This paper describes the design policy and specifications of the RWC Music Database, a copyright-cleared Music database (DB) compiled specifically for research purposes. Shared DBs are common in other research fields and have made significant contributions to progress in those fields. The field of Music information processing, however, has lacked a common DB of Musical pieces or a large-scale DB of Musical instrument sounds. We therefore recently constructed the RWC Music Database comprising four original component DBs: the Popular Music Database (100 pieces), Royalty-Free Music Database (15 pieces), Classical Music Database (50 pieces), and Jazz Music Database (50 pieces). In this paper we report the construction of two additional component DBs: the Music Genre Database (100 pieces) and Musical Instrument Sound Database (50 instruments). For all 315 Musical pieces, we prepared original audio signals, corresponding standard MIDI files, and text files of lyrics (for songs). For all 50 instruments, we recorded individual sounds at half-tone intervals with several variations of playing styles, dynamics, instrument manufacturers, and Musicians. It is our hope that our DB will make a significant contribution to future advances in the field of Music information processing.

  • RWC Music Database: Classical Music Database and Jazz Music Database
    2002
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    This paper describes the design policy and overview ofRWC Music database that gives researchers freedom of common use and research use. Various commonly available databases have been built in other research fields because ofthe importance and significance ofthose databases. In the field ofMusical inf ormation processing, however, there has not been any commonly available Music database. We have therefore built two databases, "Popular Music Database" (100 pieces) and "Royalty-Free Music Database" (15 pieces). This paper reports that we built two more databases, "Classical Music Database" (50 pieces) and "Jazz Music Database" (50 pieces). We hope that these databases will encourage further advance in Musical information processing research.

  • rwc Music database popular classical and Jazz Music databases
    International Symposium Conference on Music Information Retrieval, 2002
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    paper describes the design policy and specifications of the RWC Music Database , a Music database (DB) that is available to researchers for common use and research purposes. Various com- monly available DBs have been built in other research fields and have made a significant contribution to the research in those fields. The field of Musical information processing, however, has lacked a commonly available Music DB. We therefore built the RWC Mu- sic Database which contains four original DBs: the Popular Music Database (100 pieces), Royalty-Free Music Database(15 pieces), Classical Music Database(50 pieces), and Jazz Music Database (50 pieces). Each consists of originally-recorded Music compact discs, standard MIDI files, and text files of lyrics. These DBs are now available in Japan at a cost equal to only duplication, shipping, and handling charges (virtually for free), and we plan to make them available outside Japan. We hope that our DB will encourage further advances in Musical information processing research.

Takuichi Nishimura - One of the best experts on this subject based on the ideXlab platform.

  • rwc Music database Music genre database and Musical instrument sound database
    International Symposium Conference on Music Information Retrieval, 2003
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    This paper describes the design policy and specifications of the RWC Music Database, a copyright-cleared Music database (DB) compiled specifically for research purposes. Shared DBs are common in other research fields and have made significant contributions to progress in those fields. The field of Music information processing, however, has lacked a common DB of Musical pieces or a large-scale DB of Musical instrument sounds. We therefore recently constructed the RWC Music Database comprising four original component DBs: the Popular Music Database (100 pieces), Royalty-Free Music Database (15 pieces), Classical Music Database (50 pieces), and Jazz Music Database (50 pieces). In this paper we report the construction of two additional component DBs: the Music Genre Database (100 pieces) and Musical Instrument Sound Database (50 instruments). For all 315 Musical pieces, we prepared original audio signals, corresponding standard MIDI files, and text files of lyrics (for songs). For all 50 instruments, we recorded individual sounds at half-tone intervals with several variations of playing styles, dynamics, instrument manufacturers, and Musicians. It is our hope that our DB will make a significant contribution to future advances in the field of Music information processing.

  • RWC Music Database: Classical Music Database and Jazz Music Database
    2002
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    This paper describes the design policy and overview ofRWC Music database that gives researchers freedom of common use and research use. Various commonly available databases have been built in other research fields because ofthe importance and significance ofthose databases. In the field ofMusical inf ormation processing, however, there has not been any commonly available Music database. We have therefore built two databases, "Popular Music Database" (100 pieces) and "Royalty-Free Music Database" (15 pieces). This paper reports that we built two more databases, "Classical Music Database" (50 pieces) and "Jazz Music Database" (50 pieces). We hope that these databases will encourage further advance in Musical information processing research.

  • rwc Music database popular classical and Jazz Music databases
    International Symposium Conference on Music Information Retrieval, 2002
    Co-Authors: Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka
    Abstract:

    paper describes the design policy and specifications of the RWC Music Database , a Music database (DB) that is available to researchers for common use and research purposes. Various com- monly available DBs have been built in other research fields and have made a significant contribution to the research in those fields. The field of Musical information processing, however, has lacked a commonly available Music DB. We therefore built the RWC Mu- sic Database which contains four original DBs: the Popular Music Database (100 pieces), Royalty-Free Music Database(15 pieces), Classical Music Database(50 pieces), and Jazz Music Database (50 pieces). Each consists of originally-recorded Music compact discs, standard MIDI files, and text files of lyrics. These DBs are now available in Japan at a cost equal to only duplication, shipping, and handling charges (virtually for free), and we plan to make them available outside Japan. We hope that our DB will encourage further advances in Musical information processing research.

Jason Kaufman - One of the best experts on this subject based on the ideXlab platform.

  • social selection and peer influence in an online social network
    Proceedings of the National Academy of Sciences of the United States of America, 2012
    Co-Authors: Kevin Lewis, Marco Jesus Gonzalez, Jason Kaufman
    Abstract:

    Disentangling the effects of selection and influence is one of social science's greatest unsolved puzzles: Do people befriend others who are similar to them, or do they become more similar to their friends over time? Recent advances in stochastic actor-based modeling, combined with self-reported data on a popular online social network site, allow us to address this question with a greater degree of precision than has heretofore been possible. Using data on the Facebook activity of a cohort of college students over 4 years, we find that students who share certain tastes in Music and in movies, but not in books, are significantly likely to befriend one another. Meanwhile, we find little evidence for the diffusion of tastes among Facebook friends—except for tastes in classical/Jazz Music. These findings shed light on the mechanisms responsible for observed network homogeneity; provide a statistically rigorous assessment of the coevolution of cultural tastes and social relationships; and suggest important qualifications to our understanding of both homophily and contagion as generic social processes.