Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Graham Grindlay"'
Autor:
Emmanouil Benetos, Graham Grindlay
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 5:1111-1123
In this paper, a method for automatic transcription of music signals based on joint multiple-F0 estimation is proposed. As a time-frequency representation, the constant-Q resonator time-frequency image is employed, while a novel noise suppression tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d88e42efb323e4ea5dbd74662378586d
https://doi.org/10.1109/jstsp.2011.2162394
https://doi.org/10.1109/jstsp.2011.2162394
Autor:
Graham Grindlay, Daniel P. W. Ellis
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 5:1159-1169
This paper presents a general probabilistic model for transcribing single-channel music recordings containing multiple polyphonic instrument sources. The system requires no prior knowledge of the instruments present in the mixture (other than the num
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::463ff43bd7cf38e5be209ed634602612
https://doi.org/10.1109/jstsp.2011.2162395
https://doi.org/10.1109/jstsp.2011.2162395
Autor:
Graham Grindlay, David P. Helmbold
Publikováno v:
Machine Learning. 65:361-387
Trained musicians intuitively produce expressive variations that add to their audience's enjoyment. However, there is little quantitative information about the kinds of strategies used in different musical contexts. Since the literal synthesis of not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ec0fa58a1b0cb944ac434732e17adb0
https://doi.org/10.1007/s10994-006-8751-3
https://doi.org/10.1007/s10994-006-8751-3
Publikováno v:
ICASSP
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute deliberately-removed patches of missing data, then to compare the mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::885fe45a4285d4423de230425d6f949d
https://doi.org/10.1109/icassp.2011.5946369
https://doi.org/10.1109/icassp.2011.5946369
Autor:
Daniel P. W. Ellis, Graham Grindlay
Publikováno v:
WASPAA
We present a model-based approach to separating and transcribing single-channel, multi-instrument polyphonic music in a semi-blind fashion. Our system extends the non-negative matrix factorization (NMF) algorithm to incorporate constraints on the bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6547c91ed801b42c77cfe7b51d947f17
https://doi.org/10.1109/aspaa.2009.5346514
https://doi.org/10.1109/aspaa.2009.5346514
Autor:
Graham Grindlay
Publikováno v:
HAPTICS
This paper presents the results of a pilot experiment looking at the effect of haptic guidance on musical training. A percussion performance task was used where subjects learned to play short rhythmic sequences on a device capable of recording drumst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8809d2033f4eee1bd8b4e2f442757f8
https://doi.org/10.1109/haptics.2008.4479984
https://doi.org/10.1109/haptics.2008.4479984
Autor:
Graham Grindlay, M.A.O. Vasilescu
Publikováno v:
ICASSP (1)
This paper introduces a multilinear (tensor) framework for the analysis and synthesis of the head-related transfer function (HRTF). The HRTF is the result of the confluence of two factors, sound location and person (anatomy). Our multilinear modeling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cffeb7a9a7bdde5f5d0aff17b06d1663
https://doi.org/10.1109/icassp.2007.366641
https://doi.org/10.1109/icassp.2007.366641