Zobrazeno 1 - 10
of 509
pro vyhledávání: '"Yeh, Yin"'
Autor:
Ye, Jiarong, Yeh, Yin-Ting, Xue, Yuan, Wang, Ziyang, Zhang, Na, Liu, He, Zhang, Kunyan, Ricker, RyeAnne, Yu, Zhuohang, Roder, Allison, Lopez, Nestor Perea, Organtini, Lindsey, Greene, Wallace, Hafenstein, Susan, Lu, Huaguang, Ghedin, Elodie, Terrones, Mauricio, Huang, Shengxi, Huang, Sharon Xiaolei
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America (2022)
Rapid identification of newly emerging or circulating viruses is an important first step toward managing the public health response to potential outbreaks. A portable virus capture device coupled with label-free Raman Spectroscopy holds the promise o
Externí odkaz:
http://arxiv.org/abs/2206.02788
To apply neural sequence models such as the Transformers to music generation tasks, one has to represent a piece of music by a sequence of tokens drawn from a finite set of pre-defined vocabulary. Such a vocabulary usually involves tokens of various
Externí odkaz:
http://arxiv.org/abs/2101.02402
Autor:
Yeh, Yin-Hua, Liao, Chen-Chieh
Publikováno v:
In Pacific-Basin Finance Journal February 2024 83
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 available multi-track data for supervised model training, a data augment
Externí odkaz:
http://arxiv.org/abs/2008.02480
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 the model is designed to take a variable-length sequence of noise vect
Externí odkaz:
http://arxiv.org/abs/2005.08526
Autor:
Yeh, Yin-Cheng, Hsiao, Wen-Yi, Fukayama, Satoru, Kitahara, Tetsuro, Genchel, Benjamin, Liu, Hao-Min, Dong, Hao-Wen, Chen, Yian, Leong, Terence, Yang, Yi-Hsuan
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 accompaniment of a given multiple-bar melody sequence. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2001.02360
Generative models for singing voice have been mostly concerned with the task of ``singing voice synthesis,'' i.e., to produce singing voice waveforms given musical scores and text lyrics. In this work, we explore a novel yet challenging alternative:
Externí odkaz:
http://arxiv.org/abs/1912.11747
New machine learning algorithms are being developed to solve problems in different areas, including music. Intuitive, accessible, and understandable demonstrations of the newly built models could help attract the attention of people from different di
Externí odkaz:
http://arxiv.org/abs/1902.03722
Autor:
Yeh, Yin-Hua, Liao, Chen-Chieh
Publikováno v:
In Journal of Corporate Finance December 2021 71