Biblio

Export 99 results:
Sort by: [ Author (Asc)] Title Type Year
Filters: First Letter Of Last Name is B  [Clear All Filters]
A [B] C D E F G H I J K L M N O P Q R S T U V W X Y Z   [Show ALL]
B
Badenas, V. (2019).  Audio Problems Detection on Sound Collections. Abstract
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
Bajpai, V. (2018).  Evaluation of state of the art for genre classification in large datasets. Abstract
Balcells Eichenberger, D. (2017).  Ariadne: User-Centered Music Discovery in a Labyrinth of Semantic Threads. Abstract
Bandiera, G., Romaní Picas O., & Serra X. (2016).  Good-sounds.org: a framework to explore goodness in instrumental sounds. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 414-419. Abstract
Bantula, H., Giraldo S., & Ramirez R. (2016).  JAZZ ENSEMBLE EXPRESSIVE PERFORMANCE MODELING. ISMIR 2016.
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. 190. 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., & Cano P. (2000).  Automatic Segmentation for Music Classification using Competitive Hidden Markov Models. 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
Baysal, O., Bozkurt B., Sağer T., & Doğrusöz N. (2018).  Towards a Hybrid Assessment Model For Music Conservatory Entrance Exams. 2nd Int. Conf. on Education and Learning. Abstract
application/pdf icon2018_1_Dakam_BaysalBozkurtSagerDogrusoz.pdf
Bedrani, L. (2019).  Music Therapy with Neurofeedback in Palliative Treatment of Advanced Cancer. 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
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
Bhardwaj, S. (2017).  Audio Data Augmentation with respect to Musical Instrument Recognition. Abstract
intranet