Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Brian McFee"'
Autor:
Katherine M. Kinnaird, Brian McFee
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 4, Iss 1 (2021)
Partitioning a recording into non-overlapping time intervals comes in many forms. There is the structural segmentation task which labels structures either syntactically as A and B, or structurally as verse or chorus. The chord annotation task is simi
Externí odkaz:
https://doaj.org/article/77ce25c3759a47babf77c35624eb48bb
Autor:
Oriol Nieto, Gautham J. Mysore, Cheng-i Wang, Jordan B. L. Smith, Jan Schlüter, Thomas Grill, Brian McFee
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 3, Iss 1 (2020)
With recent advances in the field of music informatics, approaches to audio-based music structural analysis have matured considerably, allowing researchers to reassess the challenges posed by the task, and reimagine potential applications. We review
Externí odkaz:
https://doaj.org/article/8db40efd30c245288c9ee9a0587f41e4
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0231939 (2020)
Selecting a cohort from a set of candidates is a common task within and beyond academia. Admitting students, awarding grants, and choosing speakers for a conference are situations where human biases may affect the selection of any particular candidat
Externí odkaz:
https://doaj.org/article/24fbbbcc33cb4bcd838d3e41bf8d7851
Publikováno v:
Frontiers in Psychology, Vol 8 (2017)
Music exhibits structure at multiple scales, ranging from motifs to large-scale functional components. When inferring the structure of a piece, different listeners may attend to different temporal scales, which can result in disagreements when they d
Externí odkaz:
https://doaj.org/article/9e8e98c891ff448ea2c0aeb1c8ff8ac8
Recent work in music structure analysis has shown the potential of deep features to highlight the underlying structure of music audio signals. Despite promising results achieved by such representations, dealing with the inherent hierarchical aspect o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e34103ef12886f55c409520eed3d549
Publikováno v:
IEEE Signal Processing Magazine. 38:73-84
In this artaicle, we illustrate how music may serve as a vehicle to support education in signal processing. Using Fourier analysis as a concrete example, we demonstrate how the music domain provides motivating and tangible applications that make lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81545c888845417640840bda89230308
https://doi.org/10.1109/msp.2021.3052181
https://doi.org/10.1109/msp.2021.3052181
Publikováno v:
Recommender Systems Handbook ISBN: 9781071621967
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b63ba6414bcedbdbc04b63a7ae00c7e
https://doi.org/10.1007/978-1-0716-2197-4_24
https://doi.org/10.1007/978-1-0716-2197-4_24
Autor:
Brian McFee, Katherine M. Kinnaird
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 4, Iss 1 (2021)
Partitioning a recording into non-overlapping time intervals comes in many forms. There is the structural segmentation task which labels structures either syntactically as A and B, or structurally as verse or chorus. The chord annotation task is simi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::384cef5f98e06a524b137d8b911ea690
https://transactions.ismir.net/articles/71
https://transactions.ismir.net/articles/71
Autor:
Mark Cartwright, Brian McFee, Juan Pablo Bello, Jong Wook Kim, Rachel M. Bittner, Justin Salamon
Publikováno v:
IEEE Signal Processing Magazine. 36:128-137
In the early years of music information retrieval (MIR), research problems were often centered around conceptually simple tasks, and methods were evaluated on small, idealized data sets. A canonical example of this is genre recognition-i.e., Which on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e574e285465f90f87f1a7b8148112a0
https://doi.org/10.1109/msp.2018.2875349
https://doi.org/10.1109/msp.2018.2875349
Autor:
Vincent Lostanlen, Andrew Farnsworth, Brian McFee, Steve Kelling, Juan Pablo Bello, Justin Salamon, Mark Cartwright
Publikováno v:
IEEE Signal Processing Letters. 26:39-43
In the context of automatic speech recognition and acoustic event detection, an adaptive procedure named per-channel energy normalization (PCEN) has recently shown to outperform the pointwise logarithm of mel-frequency spectrogram (logmelspec) as an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::283bc48c779561713206b8f271455baf
https://doi.org/10.1109/lsp.2018.2878620
https://doi.org/10.1109/lsp.2018.2878620