Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Jordan, B. L."'
Autor:
Chen, Haonan, Smith, Jordan B. L., Spijkervet, Janne, Wang, Ju-Chiang, Zou, Pei, Li, Bochen, Kong, Qiuqiang, Du, Xingjian
Progress in the task of symbolic music generation may be lagging behind other tasks like audio and text generation, in part because of the scarcity of symbolic training data. In this paper, we leverage the greater scale of audio music data by applyin
Externí odkaz:
http://arxiv.org/abs/2409.03055
Creating a pop song melody according to pre-written lyrics is a typical practice for composers. A computational model of how lyrics are set as melodies is important for automatic composition systems, but an end-to-end lyric-to-melody model would requ
Externí odkaz:
http://arxiv.org/abs/2301.01361
Music structure analysis (MSA) systems aim to segment a song recording into non-overlapping sections with useful labels. Previous MSA systems typically predict abstract labels in a post-processing step and require the full context of the song. By con
Externí odkaz:
http://arxiv.org/abs/2211.15787
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:
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:
http://arxiv.org/abs/2110.09000
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:
http://arxiv.org/abs/2103.14253
A music mashup combines audio elements from two or more songs to create a new work. To reduce the time and effort required to make them, researchers have developed algorithms that predict the compatibility of audio elements. Prior work has focused on
Externí odkaz:
http://arxiv.org/abs/2103.14208
Autor:
Ramires, Antonio, Font, Frederic, Bogdanov, Dmitry, Smith, Jordan B. L., Yang, Yi-Hsuan, Ching, Joann, Chen, Bo-Yu, Wu, Yueh-Kao, Wei-Han, Hsu, Serra, Xavier
Music loops are essential ingredients in electronic music production, and there is a high demand for pre-recorded loops in a variety of styles. Several commercial and community databases have been created to meet this demand, but most are not suitabl
Externí odkaz:
http://arxiv.org/abs/2008.11507
Music producers who use loops may have access to thousands in loop libraries, but finding ones that are compatible is a time-consuming process; we hope to reduce this burden with automation. State-of-the-art systems for estimating compatibility, such
Externí odkaz:
http://arxiv.org/abs/2008.02011
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
