Zobrazeno 1 - 10
of 28
pro vyhledávání: '"note onset detection"'
Autor:
Cai Jiandong
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, a music teaching aid is constructed based on the automatic analysis technique of music elements. The auxiliary tool uses constant Q transform and note onset detection technology to process and recognize students’ input audio. The log
Externí odkaz:
https://doaj.org/article/22fe1ea58ad04d7a96c0043eb5a443e0
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-17 (2021)
Abstract If music is the language of the universe, musical note onsets may be the syllables for this language. Not only do note onsets define the temporal pattern of a musical piece, but their time-frequency characteristics also contain rich informat
Externí odkaz:
https://doaj.org/article/145933a49ad94c8a8c9e7ae441380d02
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 26, Iss 1, Pp 203-213 (2016)
The problem of note onset detection in musical signals is considered. The proposed solution is based on known approaches in which an onset detection function is defined on the basis of spectral characteristics of audio data. In our approach, several
Externí odkaz:
https://doaj.org/article/2c8d0171459b46ff90ead2475389009a
Autor:
Tairone Nunes Magalhães
Publikováno v:
Repositório Institucional da UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior The earliest empirical studies on music performance date back to the end of the nineteenth century, when the first mechanical devices capable of recording the actions of pianists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::f61778010d0400db621fe19c171dfe54
Publikováno v:
ICPR
ICPR2020, 25th International Conference on Pattern Recognition, Proceedings
ICPR2020, 25th International Conference on Pattern Recognition, Proceedings
In music analysis, one of the most fundamental tasks is note onset detection - detecting the beginning of new note events. As the target function of onset detection is related to other tasks, such as beat tracking or tempo estimation, onset detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbc62de4676691bffbf7783efacb09d8
https://doi.org/10.1109/icpr48806.2021.9413205
https://doi.org/10.1109/icpr48806.2021.9413205
Publikováno v:
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, ICANN 2021, PT V
Lecture Notes in Computer Science ISBN: 9783030863821
ICANN (5)
Lecture Notes in Computer Science ISBN: 9783030863821
ICANN (5)
Note onset detection – the detection of the beginning of new note events – is a fundamental task for music analysis that can help to improve Automatic Music Transcription (AMT). The method for onset detection always follows a similar outline: An
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b57bf4b7171b5f0d8af1fa095e7611c6
https://biblio.ugent.be/publication/8746992
https://biblio.ugent.be/publication/8746992
Akademický článek
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Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 26, Iss 1, Pp 203-213 (2016)
The problem of note onset detection in musical signals is considered. The proposed solution is based on known approaches in which an onset detection function is defined on the basis of spectral characteristics of audio data. In our approach, several
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccf1570c9dea954a4fce7fe574e20695
https://doi.org/10.1515/amcs-2016-0014
https://doi.org/10.1515/amcs-2016-0014
Akademický článek
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Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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