293 citations · 1k across the 72 of their papers we have counts for
13 papers · 1 filter
The Freesound Loop Dataset and Annotation Tool
Antonio Ramires, Frederic Font, Dmitry Bogdanov +7
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 dat…
A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment
Taejun Kim, Minsuk Choi, Evan Sacks +2
A DJ mix is a sequence of music tracks concatenated seamlessly, typically rendered for audiences in a live setting by a DJ on stage. As a DJ mix is produced in a studio or the live…
Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation
Ching-Yu Chiu, Wen-Yi Hsiao, Yin-Cheng Yeh +2
Blind music source separation has been a popular and active subject of research in both the music information retrieval and signal processing communities. To counter the lack of av…
Automatic Composition of Guitar Tabs by Transformers and Groove Modeling
Yu-Hua Chen, Yu-Hsiang Huang, Wen-Yi Hsiao +1
Deep learning algorithms are increasingly developed for learning to compose music in the form of MIDI files. However, whether such algorithms work well for composing guitar tabs, w…
The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures
Shih-Lun Wu, Yi-Hsuan Yang
This paper presents the Jazz Transformer, a generative model that utilizes a neural sequence model called the Transformer-XL for modeling lead sheets of Jazz music. Moreover, the m…
Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops
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 a…
Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization
Jen-Yu Liu, Yu-Hua Chen, Yin-Cheng Yeh +1
In a recent paper, we have presented a generative adversarial network (GAN)-based model for unconditional generation of the mel-spectrograms of singing voices. As the generator of…
Speech-to-Singing Conversion based on Boundary Equilibrium GAN
Da-Yi Wu, Yi-Hsuan Yang
This paper investigates the use of generative adversarial network (GAN)-based models for converting the spectrogram of a speech signal into that of a singing one, without reference…
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models
Jianyu Fan, Yi-Hsuan Yang, Kui Dong +1
Whether literally or suggestively, the concept of soundscape is alluded in both modern and ancient music. In this study, we examine whether we can analyze and compare Western and C…
Addressing the confounds of accompaniments in singer identification
Tsung-Han Hsieh, Kai-Hsiang Cheng, Zhe-Cheng Fan +2
Identifying singers is an important task with many applications. However, the task remains challenging due to many issues. One major issue is related to the confounding factors fro…
Speech-to-Singing Conversion in an Encoder-Decoder Framework
Jayneel Parekh, Preeti Rao, Yi-Hsuan Yang
In this paper our goal is to convert a set of spoken lines into sung ones. Unlike previous signal processing based methods, we take a learning based approach to the problem. This a…
Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions
Yu-Siang Huang, Yi-Hsuan Yang
A great number of deep learning based models have been recently proposed for automatic music composition. Among these models, the Transformer stands out as a prominent approach for…
Automatic Melody Harmonization with Triad Chords: A Comparative Study
Yin-Cheng Yeh, Wen-Yi Hsiao, Satoru Fukayama +7
Several prior works have proposed various methods for the task of automatic melody harmonization, in which a model aims to generate a sequence of chords to serve as the harmonic ac…