Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Wang, Ju-chiang"'
Does popular music from the 60s sound different than that of the 90s? Prior study has shown that there would exist some variations of patterns and regularities related to instrumentation changes and growing loudness across multi-decadal trends. This
Externí odkaz:
http://arxiv.org/abs/2407.05368
Autor:
Parker, Julian D., Spijkervet, Janne, Kosta, Katerina, Yesiler, Furkan, Kuznetsov, Boris, Wang, Ju-Chiang, Avent, Matt, Chen, Jitong, Le, Duc
End-to-end generation of musical audio using deep learning techniques has seen an explosion of activity recently. However, most models concentrate on generating fully mixed music in response to abstract conditioning information. In this work, we pres
Externí odkaz:
http://arxiv.org/abs/2312.08723
Recently, multi-band spectrogram-based approaches such as Band-Split RNN (BSRNN) have demonstrated promising results for music source separation. In our recent work, we introduce the BS-RoFormer model which inherits the idea of band-split scheme in B
Externí odkaz:
http://arxiv.org/abs/2310.01809
In the era of data-driven Music Information Retrieval (MIR), the scarcity of labeled data has been one of the major concerns to the success of an MIR task. In this work, we leverage the semi-supervised teacher-student training approach to improve MIR
Externí odkaz:
http://arxiv.org/abs/2310.01353
Music source separation (MSS) aims to separate a music recording into multiple musically distinct stems, such as vocals, bass, drums, and more. Recently, deep learning approaches such as convolutional neural networks (CNNs) and recurrent neural netwo
Externí odkaz:
http://arxiv.org/abs/2309.02612
Multitrack music transcription aims to transcribe a music audio input into the musical notes of multiple instruments simultaneously. It is a very challenging task that typically requires a more complex model to achieve satisfactory result. In additio
Externí odkaz:
http://arxiv.org/abs/2306.10785
Singing voice beat and downbeat tracking posses several applications in automatic music production, analysis and manipulation. Among them, some require real-time processing, such as live performance processing and auto-accompaniment for singing input
Externí odkaz:
http://arxiv.org/abs/2306.02372
Autor:
Cheuk, Kin Wai, Choi, Keunwoo, Kong, Qiuqiang, Li, Bochen, Won, Minz, Wang, Ju-Chiang, Hung, Yun-Ning, Herremans, Dorien
In this paper, we introduce Jointist, an instrument-aware multi-instrument framework that is capable of transcribing, recognizing, and separating multiple musical instruments from an audio clip. Jointist consists of an instrument recognition module t
Externí odkaz:
http://arxiv.org/abs/2302.00286
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