Zobrazeno 1 - 10
of 7 883
pro vyhledávání: '"Dannenberg, A"'
We solve a variant of the classical Buffon Needle problem. More specifically, we inspect the probability that a randomly oriented needle of length $l$ originating in a bounded convex set $X\subset\mathbb{R}^2$ lies entirely within $X$. Using techniqu
Externí odkaz:
http://arxiv.org/abs/2411.16935
Autor:
Ma, Yinghao, Øland, Anders, Ragni, Anton, Del Sette, Bleiz MacSen, Saitis, Charalampos, Donahue, Chris, Lin, Chenghua, Plachouras, Christos, Benetos, Emmanouil, Shatri, Elona, Morreale, Fabio, Zhang, Ge, Fazekas, György, Xia, Gus, Zhang, Huan, Manco, Ilaria, Huang, Jiawen, Guinot, Julien, Lin, Liwei, Marinelli, Luca, Lam, Max W. Y., Sharma, Megha, Kong, Qiuqiang, Dannenberg, Roger B., Yuan, Ruibin, Wu, Shangda, Wu, Shih-Lun, Dai, Shuqi, Lei, Shun, Kang, Shiyin, Dixon, Simon, Chen, Wenhu, Huang, Wenhao, Du, Xingjian, Qu, Xingwei, Tan, Xu, Li, Yizhi, Tian, Zeyue, Wu, Zhiyong, Wu, Zhizheng, Ma, Ziyang, Wang, Ziyu
In recent years, foundation models (FMs) such as large language models (LLMs) and latent diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This comprehensive review examines state-of-the-art (SOTA) pre-trained models
Externí odkaz:
http://arxiv.org/abs/2408.14340
Autor:
Yin, Hanzhi, Cheng, Gang, Steinmetz, Christian J., Yuan, Ruibin, Stern, Richard M., Dannenberg, Roger B.
We describe a novel approach for developing realistic digital models of dynamic range compressors for digital audio production by analyzing their analog prototypes. While realistic digital dynamic compressors are potentially useful for many applicati
Externí odkaz:
http://arxiv.org/abs/2403.16331
Autor:
Yuan, Ruibin, Lin, Hanfeng, Wang, Yi, Tian, Zeyue, Wu, Shangda, Shen, Tianhao, Zhang, Ge, Wu, Yuhang, Liu, Cong, Zhou, Ziya, Ma, Ziyang, Xue, Liumeng, Wang, Ziyu, Liu, Qin, Zheng, Tianyu, Li, Yizhi, Ma, Yinghao, Liang, Yiming, Chi, Xiaowei, Liu, Ruibo, Wang, Zili, Li, Pengfei, Wu, Jingcheng, Lin, Chenghua, Liu, Qifeng, Jiang, Tao, Huang, Wenhao, Chen, Wenhu, Benetos, Emmanouil, Fu, Jie, Xia, Gus, Dannenberg, Roger, Xue, Wei, Kang, Shiyin, Guo, Yike
While Large Language Models (LLMs) demonstrate impressive capabilities in text generation, we find that their ability has yet to be generalized to music, humanity's creative language. We introduce ChatMusician, an open-source LLM that integrates intr
Externí odkaz:
http://arxiv.org/abs/2402.16153
Autor:
Karpelin, David, Dannenberg, Andreas
In the field of management control systems, employee retention is a significant challenge faced by management. In contemporary society, the workplace is experiencing increased dispersion, which presents challenges for management in effectively addres
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-510295
Music motif, as a conceptual building block of composition, is crucial for music structure analysis and automatic composition. While human listeners can identify motifs easily, existing computational models fall short in representing motifs and their
Externí odkaz:
http://arxiv.org/abs/2309.10597
Phenotype switching can be triggered by external stimuli and by intrinsic stochasticity. Here, we focus on the motility-matrix production switch in Bacillus subtilis. We use modeling to describe the SinR-SlrR bistable switch its regulation by SinI, a
Externí odkaz:
http://arxiv.org/abs/2308.12780
Autor:
Ma, Yinghao, Yuan, Ruibin, Li, Yizhi, Zhang, Ge, Chen, Xingran, Yin, Hanzhi, Lin, Chenghua, Benetos, Emmanouil, Ragni, Anton, Gyenge, Norbert, Liu, Ruibo, Xia, Gus, Dannenberg, Roger, Guo, Yike, Fu, Jie
Self-supervised learning (SSL) has shown promising results in various speech and natural language processing applications. However, its efficacy in music information retrieval (MIR) still remains largely unexplored. While previous SSL models pre-trai
Externí odkaz:
http://arxiv.org/abs/2307.05161
Autor:
Zhuo, Le, Yuan, Ruibin, Pan, Jiahao, Ma, Yinghao, LI, Yizhi, Zhang, Ge, Liu, Si, Dannenberg, Roger, Fu, Jie, Lin, Chenghua, Benetos, Emmanouil, Xue, Wei, Guo, Yike
We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic lyrics transcription method achieving state-of-the-art performance on various lyrics transcription datasets, even in challenging genres such as rock and metal. Our novel, trainin
Externí odkaz:
http://arxiv.org/abs/2306.17103
Autor:
Yuan, Ruibin, Ma, Yinghao, Li, Yizhi, Zhang, Ge, Chen, Xingran, Yin, Hanzhi, Zhuo, Le, Liu, Yiqi, Huang, Jiawen, Tian, Zeyue, Deng, Binyue, Wang, Ningzhi, Lin, Chenghua, Benetos, Emmanouil, Ragni, Anton, Gyenge, Norbert, Dannenberg, Roger, Chen, Wenhu, Xia, Gus, Xue, Wei, Liu, Si, Wang, Shi, Liu, Ruibo, Guo, Yike, Fu, Jie
In the era of extensive intersection between art and Artificial Intelligence (AI), such as image generation and fiction co-creation, AI for music remains relatively nascent, particularly in music understanding. This is evident in the limited work on
Externí odkaz:
http://arxiv.org/abs/2306.10548