no code implementations • 3 Jan 2023 • Daiyu Zhang, Ju-Chiang Wang, Katerina Kosta, Jordan B. L. Smith, Shicen Zhou
Experiments for Chinese lyric-to-melody generation show that the proposed framework is able to model key characteristics of rhythm and pitch distributions in the dataset, and in a subjective evaluation, the melodies generated by our system were rated as similar to or better than those of a state-of-the-art alternative.
no code implementations • 29 May 2022 • Ju-Chiang Wang, Yun-Ning Hung, Jordan B. L. Smith
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').
no code implementations • 18 Oct 2021 • Ju-Chiang Wang, Jordan B. L. Smith, Wei-Tsung Lu, Xuchen Song
Music structure analysis (MSA) methods traditionally search for musically meaningful patterns in audio: homogeneity, repetition, novelty, and segment-length regularity.
no code implementations • 26 Mar 2021 • Ju-Chiang Wang, Jordan B. L. Smith, Jitong Chen, Xuchen Song, Yuxuan Wang
This paper presents a novel supervised approach to detecting the chorus segments in popular music.
no code implementations • 26 Mar 2021 • Jiawen Huang, Ju-Chiang Wang, Jordan B. L. Smith, Xuchen Song, Yuxuan Wang
A music mashup combines audio elements from two or more songs to create a new work.
1 code implementation • 26 Aug 2020 • Antonio Ramires, Frederic Font, Dmitry Bogdanov, Jordan B. L. Smith, Yi-Hsuan Yang, Joann Ching, Bo-Yu Chen, Yueh-Kao Wu, Hsu Wei-Han, Xavier Serra
We present the Freesound Loop Dataset (FSLD), a new large-scale dataset of music loops annotated by experts.
Audio and Speech Processing Sound
1 code implementation • 5 Aug 2020 • Bo-Yu Chen, Jordan B. L. Smith, Yi-Hsuan Yang
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.