Zobrazeno 1 - 10
of 132
pro vyhledávání: '"George Tzanetakis"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2010 (2010)
This paper presents a method for estimating the amplitude of coincident partials generated by harmonic musical sources (instruments and vocals). It was developed as an alternative to the commonly used interpolation approach, which has several limitat
Externí odkaz:
https://doaj.org/article/1e485f0d62e64f2686b7440e3dff0e88
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Externí odkaz:
https://doaj.org/article/e73f2ad4c8884af088b1aef7bb39e27a
Autor:
Yichun Zhao, George Tzanetakis
Sonification can provide valuable insights about data but most existing approaches are not designed to be controlled by the user in an interactive fashion. Interactions enable the designer of the sonification to more rapidly experiment with sound des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33b931b16a784d2fcadc5905ea51521c
Autor:
George Tzanetakis, Isabelle Dufour
Publikováno v:
IEEE Transactions on Affective Computing. 12:666-681
The two commonly accepted models of affect used in affective computing are categorical and two-dimensional. However, categorical models are limited to datasets that only contain music for which human annotators fully agree upon, while two-dimensional
Publikováno v:
Journal of the Audio Engineering Society. 69:40-53
Publikováno v:
CCF Transactions on Networking. 3:158-170
In this paper, we propose a novel cooperative abnormal sound event detection framework for city surveillance in end-edge-cloud orchestrated systems. A novel offloading decision-making scheme that leverages hierarchical computational capabilities is p
Autor:
George Tzanetakis, Paul Spong, Manuel Schmitt, Elmar Nöth, Helena Symonds, Christian Bergler, Andreas Maier, Steven R. Ness
Publikováno v:
Interspeech 2021.
Autor:
Tom Arjannikov, George Tzanetakis
Publikováno v:
ICHI
Reliably predicting the length of stay of patients in a hospital based on their demographic and clinical characteristics as well as the care they received can inform hospital planning, particularly in novel response scenarios such as Covid-19. Positi
Autor:
Tom Arjannikov, George Tzanetakis
Publikováno v:
BHI
Accurately predicting the in-hospital length of stay (LOS) at the time of admission can positively impact healthcare metrics. Machine learning (ML) techniques have been used to predict hospital patients’ LOS based on their demographic and clinical
Autor:
Jakob Leben, George Tzanetakis
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 16:1-26
We present a method for compilation of multi-dimensional stream processing programs from affine recurrence equations with unbounded domains into imperative code with statically allocated memory. The method involves a novel polyhedral schedule transfo