Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Eric J. Humphrey"'
Autor:
Rachel M. Bittner, Luwei Yang, Aparna Kumar, Sankalp Gulati, Bernhard Lehner, Andreas Jansson, Prem Seetharaman, Eric J. Humphrey, Tristan Jehan, Anna Krupse, Sravana Reddy, Andrew M. Demetriou
Publikováno v:
IEEE Signal Processing Magazine. 36:82-94
Humans have devised a vast array of musical instruments, but the most prevalent instrument remains the human voice. Thus, techniques for applying audio signal processing methods to the singing voice are receiving much attention as the world continues
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f137ac28b8c5a15b28ab8894ffd80059
https://doi.org/10.1109/msp.2018.2875133
https://doi.org/10.1109/msp.2018.2875133
Autor:
Rachel M. Bittner, Minwei Gu, Gandalf Hernandez, Eric J. Humphrey, Tristan Jehan, Hunter McCurry, Nicola Montecchio
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e5faf95782cba6af0327e8a7f0f7ae6
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00d9762f6a7a37b9cc8dc2ca9a28bfb5
Publikováno v:
Journal of New Music Research. 44:39-57
Traditionally, the development and validation of computational measures of rhythmic similarity in music relies on proxy classification tasks, often equating rhythm similarity to genre. In this paper, we perform a comprehensive, cross-disciplinary exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a9f2e423248022f75696c0a7b78048
https://doi.org/10.1080/09298215.2014.929706
https://doi.org/10.1080/09298215.2014.929706
Publikováno v:
Journal of Intelligent Information Systems. 41:461-481
As we look to advance the state of the art in content-based music informatics, there is a general sense that progress is decelerating throughout the field. On closer inspection, performance trajectories across several applications reveal that this is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fbb338bd67831a8aaf9209ba3fd3cb7
https://doi.org/10.1007/s10844-013-0248-5
https://doi.org/10.1007/s10844-013-0248-5
Autor:
Eric J. Humphrey, Juan Pablo Bello
Publikováno v:
ICASSP
Automatic chord recognition is conventionally tackled as a general music audition task, where the desired output is a time-aligned sequence of discrete chord symbols, e.g. CMaj7, Esus2, etc. In practice, however, this presents two related challenges:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1e396759774065f4036567fad643177
https://doi.org/10.1109/icassp.2014.6854952
https://doi.org/10.1109/icassp.2014.6854952
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f247718b2bef445e2df56f7f7ef9bce
Autor:
Juan Pablo Bello, Eric J. Humphrey
Publikováno v:
ICMLA (2)
Despite early success in automatic chord recognition, recent efforts are yielding diminishing returns while basically iterating over the same fundamental approach. Here, we abandon typical conventions and adopt a different perspective of the problem,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49559c7bfa340484645fb42d562a9829
https://doi.org/10.1109/icmla.2012.220
https://doi.org/10.1109/icmla.2012.220