Biblio

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Baez, R. V. (2013).  Using infra-red motion capture data to measure the bow pressing force in bowed string instruments. Abstract
application/pdf iconRaquel-Baez-Master-Thesis-2013.pdf
Barbosa, A., Kaltenbrunner M., & Geiger G. (2003).  Interface Decoupled Applications for Geographically Displaced Collaboration in Music. Abstract
Barbosa, A. (2003).  Displaced SoundScapes A Survey of Network Systems for Music and Sonic Art Creation. Leonardo Music Journal. 13, Abstract
Barbosa, A. (2006).  Computer-Supported Cooperative Work for Music Applications. Abstract
Barbosa, A., Cardoso J., & Geiger G. (2005).  Network Latency Adaptive Tempo in the Public Sound Objects System. Abstract
Barbosa, A. (2002).  Computer-Supported Cooperative Work for Music Applications. Abstract
Barbosa, A., & Kaltenbrunner M. (2002).  Public Sound Objects A shared musical space on the web. Abstract
Barroso, E., & Pérez A. (2007).  Composition through Spectral Modeling Synthesis and Pure Data. Abstract
Batlle, E., Masip J., & Guaus E. (2002).  Automatic Song Identification in Noisy Broadcast Audio. (N. Younan, Ed.).Signal and Image Processing. Abstract
Batlle, E., Masip J., & Guaus E. (2004).  Amadeus A Scalable HMM-based Audio Information Retrieval System. First International Symposium on Control, Communications and Signal Processing. 731-734. Abstract
Batlle, E., Masip J., Guaus E., & Cano P. (2004).  Scalability issues in HMM-based Audio Fingerprinting. International Conference on Multimedia and Expo. 1, 735-738. Abstract
Batlle, E., Guaus E., & Masip J. (2003).  Open Position Multilingual Orchestra Conductor. Lifetime Opportunity.. 26th. annual international ACM SIGIR conference. Abstract
Batlle, E., Masip J., & Cano P. (2003).  System analysis and performance tuning for broadcast audio fingerprinting. Abstract
Batlle, E., & Cano P. (2000).  Automatic Segmentation for Music Classification using Competitive Hidden Markov Models. Abstract
Bellur, A., Ishwar V., Serra X., & Murthy H. (2012).  A Knowledge Based Signal Processing Approach to Tonic Identification in Indian Classical Music. 2nd CompMusic Workshop. Abstract
application/pdf icon22-Ashwin-Bellur-et-al-2nd-CompMusic-Workshop-2012.pdf
Bencina, R., & Kaltenbrunner M. (2005).  The Design and Evolution of Fiducials for the reacTIVision System. Abstract
Bencina, R., Kaltenbrunner M., & Jordà S. (2005).  Improved Topological Fiducial Tracking in the reacTIVision System. Abstract
Bischoff, K., Firan C., Paiu R., Nejdl W., Laurier C., & Sordo M. (2009).  Music Mood and Theme Classification a Hybrid Approach. Conference of the International Society for Music Information Retrieval (ISMIR). Abstract
Blaauw, M. (2003).  The CLAM Framework - An Overview and Considerations for Potential Users. Abstract
Blancas, D. S., & Janer J. (2014).  Sound Retrieval from Voice Imitation Queries in Collaborative Databases. AES 53rd Conference on Semantic Audio. Abstract
application/pdf iconradC63C6.pdf
Blankertz, B., Purwins H., & Obermayer K. (1999).  Toroidal models of inter-key relations in tonal music. VI. International Conference on Systematic and Comparative Musicology. Abstract
Bogdanov, D., Haro M., Fuhrmann F., Xambó A., Gómez E., & Herrera P. (2011).  A Content-based System for Music Recommendation and Visualization of User Preferences Working on Semantic Notions. Abstract
application/pdf iconCBMI2011_poster.pdf
Bogdanov, D., Haro M., Fuhrmann F., Gómez E., & Herrera P. (2010).  Content-based music recommendation based on user preference examples. The 4th ACM Conference on Recommender Systems. Workshop on Music Recommendation and Discovery (Womrad 2010). Abstract
application/pdf iconrec-paper.pdf
application/pdf iconBogdanov-et-al-Womrad2010.pdf
Bogdanov, D. (2013).  From music similarity to music recommendation: Computational approaches based on audio features and metadata. 227.
application/pdf icondbogdanov_phd_thesis_2013.pdf
Bogdanov, D., Serrà J., Wack N., & Herrera P. (2009).  From Low-level to High-level: Comparative Study of Music Similarity Measures. IEEE International Symposium on Multimedia. Workshop on Advances in Music Information Research (AdMIRe). Abstract
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