Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jordan B. L. Smith"'
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
Conventional music structure analysis algorithms aim to divide a song into segments and to group them with abstract labels (e.g., 'A', 'B', and 'C'). However, explicitly identifying the function of each segment (e.g., 'verse' or 'chorus') is rarely a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac1ee61a4168efeb26addbdaa0f38a79
http://arxiv.org/abs/2205.14700
http://arxiv.org/abs/2205.14700
Music structure analysis (MSA) methods traditionally search for musically meaningful patterns in audio: homogeneity, repetition, novelty, and segment-length regularity. Hand-crafted audio features such as MFCCs or chromagrams are often used to elicit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d04f9ec80748f7379fdc23e832f063a
Publikováno v:
ICASSP
This paper presents a novel supervised approach to detecting the chorus segments in popular music. Traditional approaches to this task are mostly unsupervised, with pipelines designed to target some quality that is assumed to define "chorusness," whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::633c0bad356570e17f414fdc8b624c6f
Publikováno v:
Journal of New Music Research. 46:213-228
There is considerable interest in music-based games and apps. However, in existing games, music generally serves as an accompaniment or as a reward for progress. We set out to design a game where paying attention to the music would be essential to ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82e2c7631e5193e5bdef890ccf339b71
https://doi.org/10.1080/09298215.2017.1303519
https://doi.org/10.1080/09298215.2017.1303519
Publikováno v:
ICASSP
We propose a music structure analysis method that converts a path-enhanced self-similarity matrix (SSM) into a block-enhanced SSM using non-negative matrix factor 2-D deconvolution (NMF2D). With a non-negative constraint, the deconvolution intuitivel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37083bc776a606cd8c2f0a6b9adf85b1
https://doi.org/10.1109/icassp.2018.8461319
https://doi.org/10.1109/icassp.2018.8461319
Autor:
Jordan B. L. Smith, Masataka Goto
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b38e8c0b39a4318df4a83830a77d429a
Publikováno v:
ICME
Users of video-sharing sites often search for derivative works of music, such as live versions, covers, and remixes. Audio and video content are both important for retrieval: “karaoke” specifies audio content (instrumental version) and video cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71da9b63aaf9b7f0b4daa3e55837c288
https://doi.org/10.1109/icme.2017.8019444
https://doi.org/10.1109/icme.2017.8019444
Publikováno v:
ICASSP
Transcribing the singing voice into music notes is challenging due to pitch fluctuations such as portamenti and vibratos. This paper presents a probabilistic transcription method for monophonic sung melodies that explicitly accounts for these local p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7cde8f4b1278585ec5a446d60878aa5
https://doi.org/10.1109/icassp.2017.7952166
https://doi.org/10.1109/icassp.2017.7952166
Publikováno v:
IEEE Transactions on Multimedia. 16:1219-1228
Data mining tasks such as music indexing, information retrieval, and similarity search, require an understanding of how listeners process music internally. Many algorithms for automatically analyzing the structure of recorded music assume that a larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f00b0bda0efe791c69c9b1c3fd5cdf41
https://doi.org/10.1109/tmm.2014.2310706
https://doi.org/10.1109/tmm.2014.2310706