Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Alfonso Perez-Carrillo"'
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030438869
PKDD/ECML Workshops (2)
PKDD/ECML Workshops (2)
Comunicació presentada al Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2019), celebrat del 16 al 20 de setembre de 2019 a Würzburg, Alemanya. We present a machine–learning model for predicting the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a8ea28eba8961be8bc80000fb618caf
https://doi.org/10.1007/978-3-030-43887-6_46
https://doi.org/10.1007/978-3-030-43887-6_46
Autor:
Alfonso Perez-Carrillo
Publikováno v:
Frontiers in Computer Science. 1
We present a method for the analysis of the finger-string interaction in guitar performances and the computation of fine actions during the plucking gesture. The method is based on Motion Capture using high-speed cameras that can track the position o
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 23:932-940
Acquisition of instrumental gestures in musical performances is a field of increasing interest with applications in different areas ranging from acoustics and sound synthesis to motor learning or artistic performances. Direct acquisition approaches a
Publikováno v:
Vrije Universiteit Brussel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::082aae69e6c2c3d0770fe4e6df519388
https://hdl.handle.net/20.500.14017/fb3e20c3-45a9-44fb-ad43-a6d3c429279a
https://hdl.handle.net/20.500.14017/fb3e20c3-45a9-44fb-ad43-a6d3c429279a
Publikováno v:
Music, Mind, and Embodiment ISBN: 9783319462813
CMMR
CMMR
This work presents a method for the extraction of instrumental controls during guitar performances. The method is based on the analysis of multimodal data consisting of a combination of motion capture, audio analysis and musical score. High speed vid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87be87e7a7338daf55dd6580ac301a1a
https://doi.org/10.1007/978-3-319-46282-0_5
https://doi.org/10.1007/978-3-319-46282-0_5
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 20:1007-1021
The objective of this research is to model the relationship between actions performed by a violinist and the sound which these actions produce. Violinist actions and audio are captured during real performances by means of a newly developed sensing sy
Publikováno v:
MIRUM
Acquisition of instrumental gestures in musical performances is an important task used in different fields ranging from acoustics and sound synthesis to motor learning or electroacoustic performances. The most common approach for acquiring gestures i
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
instname
This work presents a method for measuring and computing violin-body directional frequency responses, which are used for violin sound synthesis. The approach is based on a frame-weighted deconvolution of excitation and response signals. The excitation
Publikováno v:
The Journal of the Acoustical Society of America. 138:1785-1785
This work presents a method to compute violin body impulse responses (BIR) based on deconvolution of non-impulsive signals. This newly conceived approach is based on a frame-weighted deconvolution of excitation and response signals. The excitation, c
Autor:
Alfonso Perez-Carrillo
Publikováno v:
The Journal of the Acoustical Society of America. 133:3270-3270
Bowing is the main element in sound production during a violin performance and one of the most basic and important expressive resources for the musician. In the lowest level, control parameters such as force, velocity or bow-bridge distance are direc