Music – Instruments – Electrical musical tone generation
Reexamination Certificate
2007-12-25
2007-12-25
Donels, Jeffrey (Department: 2837)
Music
Instruments
Electrical musical tone generation
C084S612000, C707S793000, C707S793000
Reexamination Certificate
active
11080879
ABSTRACT:
A system and methods for the automatic transmission of new, high affinity media to a user are provided. In connection with a system that convergently merges perceptual and digital signal processing analysis of media entities for purposes of classifying the media entities, various means are provided to a user for automatically extracting media entities that represent a high (or low) affinity state/space for the user in connection with the generation of a high affinity playlist, channel or station. Techniques for providing a dynamic recommendation engine and techniques for rating media entities are also included are also included. Once a high affinity state/space is identified, the high affinity state/space may be persisted for the user from experience to experience.
REFERENCES:
patent: 6201176 (2001-03-01), Yourlo
patent: 6539395 (2003-03-01), Gjerdingen et al.
patent: 6657117 (2003-12-01), Weare et al.
patent: 6721741 (2004-04-01), Eyal et al.
patent: 6993532 (2006-01-01), Platt et al.
patent: 7075000 (2006-07-01), Gang et al.
patent: 2006/0206478 (2006-09-01), Glaser et al.
patent: 2006/0212442 (2006-09-01), Conrad et al.
patent: 2006/0212444 (2006-09-01), Handman et al.
Boneh, D. et al., “Collusion-secure fingerprinting for digital data,”IEEE Trans. Information Theory, 1998, 44(5), 1897-1905.
Bresin, R. et al., “Synthesis and decoding of emotionally expressive music performance,”IEEE SMC'99 Conference Proceedings. 1999 IEEE Int'l Conf. On Systems, Man, and Cybernetics, 1999, vol. 4, 317-322.
Camurri, A. et al., “Multi-Paradigm Software Environment for the Real-Time Processing of Sound, Music and Multimedia,”Knowledge-Based Systems, 1994, 7(2), 114-126.
Camurri, A. et al., “Music and Multimedia Knowledge Representation and Reasoning—The Harp System,”Computer Music J., 1995, 19(2sum), 34-58.
Camurri, A., “Music content processing and multimedia: Case studies and emerging applications of intelligent interactive systems,”J. New Music Res., 1999, 28(4), 351-363.
Cohen, W.W. et al., “Web-collaborative filtering: recommending music by crawling the Web,”Comp. Networks-Int. J. Comp. Telecomm. Networking, 2000, 33(1-6), 685-698.
Craner, P.M., “New tool for an ancient art—the computer and music,”Comput. Humanities, 1991, 25(5), 303-313.
DeRoure, D.C. et al., “Content-based navigation of music using melodic pitch contours,”Multimedia Systems, 2000, 8(3), 190-200.
Gentner, T.Q. et al., “Perceptual classification based on the component structure of song in European starlings,”J. Acoustical Soc. Am., Jun. 2000, 107(6), 3369-3381.
Goldman, C.V. et al., “NetNeg: A connectionist-agent integrated system for representing musical knowledge,”Annals. Math. Artifical Intelligence, 1999, 25(1-2), 69-90.
Hori, T. et al., “Automatic music score recognition/play system based on decision based neural network,”1999 IEEE Third Workshop on Multimedia Signal Processing, Ostermann, J. et al. (eds.), 1999, 183-184.
Kieckhefer, E. et al., “A computer program for sequencing and presenting complex sounds for auditory neuroimaging studies,”J. Neurosc. Methods, Aug. 2000, 101(1), 43-48.
Kirk, R. et al., “Midas-Milan—an open distributed processing system for audio signal processing,”J. Audio Enginerr. Soc., 1996, 44(3), 119-129.
Krulwich, B., “Lifestyle finder—Intelligent user profiling using large-scale demographic data,”AI Magazine, 1997, 18(2sum), 37-45.
Li, D. et al., “Classification of general audio data for content-based retrieval,”Pattern Recogn. Letts., 2001, 22(5), 533-544.
Liang, R.H. et al., “Impromptu Conductor—A Virtual Reality System for Music Generation Based on Supervised Learning,”Displays, 1994, 15(3), 141-147.
Logrippo, L., “Cluster analysis for the computer-assisted statistical analysis of melodies,”Computers Humanities, 1986, 20(1), 19-33.
Moreno, P.J. et al., “Using the Fisher Kernal Method for Web Audio Classification,”2000 IEEE Int'l Conf. On Acoustics, Speech, and Signal Processing, Proceedings, 2000, vol. 4, 2417-2420.
Pirn, R., “Some Objective and Subjective Aspects of 3 Acoustically Variable Halls,”Appl. Acoustics, 1992, 35(3), 221-231.
Serra, A., “New solutions for the transmission of music. Possible methods in view of the reduction of the pass band,”Revista Espanola de Electronica, Jul. 1976, 23(260), 34-35 (English language abstract attached).
Smith, M.W.A., “A relational database for the study and quantification of tempo directions in music,”Comput. Humanities, 1994, 28(2), 107-116.
Speiser, J.M. et al., “Signal processing computations using the generalized singular value decomposition,”Proceedings of SPIE—The Int'l Socity for Optical Engineering. Real Time Signal Processing VII, Bellingham, WA, 1984, 47-55.
Strawn, J. (ed.), “Digital Audio Engineering: An Anthology,”Digital Audio Eng. An Anthol, Los Altos, CA, 1985.
Yoder, M.A. et al., “Using Multimedia and the Web to teach the theory of digital multimedia signals,”Proceedings. Frontiers in Education, 1995 25thAnnual Conference. Engineering Education for the 21stCentury, IEEE, Budny, D. et al. (eds.), Nov. 1-4, 1995, vol. 2, Atlanta, GA.
Zhang, T. et al., “Audio content analysis for online audiovisual data segmentation and classification,”IEEE Trans. on Speech and Audio Processing, May 2001, 9(4), 441-457.
Zhang, T. et al., “Heuristic approach for generic audio data segmentation and annotation,”Proceedings ACM Multimedia 99, 1999, 67-76.
Pesavento, M. et al., Unitary root music with a real-valued eigendecomposition: A theoretical and experimental performance study,IEEE Trans. Signal Processing, 2000, 48(5), 1306-1314.
Bassman Eric
Carreno Michael J.
Kaiser Rolf
Donels Jeffrey
Microsoft Corporation
Woodcock & Washburn LLP
LandOfFree
System and methods for the automatic transmission of new,... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and methods for the automatic transmission of new,..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and methods for the automatic transmission of new,... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3826526