Biblio

Export 156 results:
Sort by: [ Author (Desc)] Title Type Year
Filters: First Letter Of Title is A  [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]
Z
Zils, A., Pachet F., Delerue O., & Gouyon F. (2002).  Automatic Extraction of Drum Tracks from Polyphonic Music Signals. Abstract
Zapata, J. R., Holzapfel A., Davies M. E. P., Oliveira J., & Gouyon F. (2012).  Assigning a Confidence Threshold on Automatic Beat Annotation in Large Datasets. 13th International Society for Music Information Retrieval Conference. 157-162. Abstract
application/pdf iconJose_Zapata_et_al_157_ISMIR_2012.pdf
Y
Yesiler, F. (2018).  Analysis and Automatic Classification of Phonation Modes in Singing. Abstract
W
Wüst, O., & Jordà S. (2001).  Architectural Overview of a System for Collaborative Music Composition over the Web. International Computer Music Conference. 298-301. Abstract
application/pdf iconarchitectural_overview_collabative_music.pdf
Wright, M., Beauchamp J., Fitz K., Rodet X., Roebel A., Serra X., et al. (2000).  Analysis/synthesis comparison. Organized Sound. 5, pp 173-189. Abstract
Won, M., Chun S., Nieto O., & Serra X. (2019).  Automatic music tagging with Harmonic CNN. International Society for Music Information Retrieval (ISMIR). Abstract
V
Vinyes, M. (2005).  Auditory stream separation in commercial music productions implementation of a real-time method based on pan location. Abstract
Villavicencio, F., Yamagishi J., Bonada J., & Espic F. (2016).  Applying Spectral Normalisation and Efficient Envelope Estimation and Statistical Transformation for the Voice Conversion Challenge 2016. Interspeech. 1657-61. Abstract
Villavicencio, F., Röbel A., & Rodet X. (2009).  Applying Improved Spectral Modeling for High Quality Voice Conversion . (Signal Processing Society, Ed.).ICASSP 2009. Abstract
Villavicencio, F., & Bonada J. (2010).  Applying Voice Conversion To Concatenative Singing-Voice Synthesis. Interspeech. 2162-2165. Abstract
Villafuerte, L., Markova M. S., & Jordà S. (2012).  Acquisition of Social Abilities Through Musical Tangible User Interface: Children with Autism Spectrum Condition and the Reactable. CHI'12. 745-760. Abstract
application/pdf iconp745-villafuerte.pdf
Villa Betancourt, L. M. (2011).  Analyzing the effects of room acoustics in different music recordings. Abstract
application/pdf iconVilla-Betancourt-Lina-Maria-Master-thesis-2011.pdf
Van Balen, J., Haro G. G., & Serrà J. (2012).  Automatic Identification of Samples in Hip Hop Music. 9th International Symposium on Computer Music Modeling and Retrieval (CMMR).
Van Balen, J. (2011).  Automatic Recognition of Samples in Musical Audio. Abstract
application/pdf iconVan-Balen-Jan-Master-thesis-2011.pdf
Valero-Mas, J. J., Salamon J., & Gómez E. (2015).  Analyzing the influence of pitch quantization and note segmentation on singing voice alignment in the context of audio-based Query-by-Humming. Sound and Music Computing Conference.
application/pdf iconValero-Salamon-Gomez-SMC2015.pdf
T
Tarrat, J. M. (2008).  Adaptation of the Seam Carving Technique for Improving Audio Time-Scaling. Abstract
S
Streich, S. (2005).  Automatic Characterization of Music Complexity a multi-faceted approach. Abstract
Streich, S., & Herrera P. (2006).  Algorithmic Prediction of Music Complexity Judgements. 9th International Conference on Music Perceptionand Cognition. Abstract
Stella, A. (2012).  Auditory Display of Brain Oscillatory Activity with Electroencephalography. Abstract
application/pdf iconAndrew-Stella-SMC-Master-Thesis.pdf
Srinivasamurthy, A., Holzapfel A., Ganguli K. K., & Serra X. (2017).  Aspects of tempo and rhythmic elaboration in Hindustani music: A corpus study. Frontiers in Digital Humanities: Digital Musicology. 4, 20. Abstract
Sordo, M., Celma Ò., & Bogdanov D. (2011).  Audio Tag Classification using Weighted-Vote Nearest Neighbor Classification. Abstract
application/pdf iconmirex2011_abstract.pdf
application/pdf iconmirex2011_audio_tag_poster.pdf
Sordo, M., Laurier C., & Celma Ò. (2007).  Annotating Music Collections How content-based similarity helps to propagate labels. 8th International Conference on Music Information Retrieval. Abstract
Slizovskaia, O., Gómez E., & Haro G. G. (2016).  Automatic musical instrument recognition in audiovisual recordings by combining image and audio classification strategies. 13th Sound and Music Computing Conference (SMC 2016). Abstract
application/pdf iconpostprint version
Sharma, K. (2017).  Automatic analysis of time varying metrical structures in music. Abstract
Serrà, J. (2009).  Assessing the results of a cover song identification system with coverSSSSearch. International Society for Music Information Retrieval (ISMIR) Conference. Abstract
intranet