Zobrazeno 1 - 10
of 12 581
pro vyhledávání: '"piano performance"'
Piano playing requires agile, precise, and coordinated hand control that stretches the limits of dexterity. Hand motion models with the sophistication to accurately recreate piano playing have a wide range of applications in character animation, embo
Externí odkaz:
http://arxiv.org/abs/2410.05791
Autor:
Beyer, Tim, Dai, Angela
The automated creation of accurate musical notation from an expressive human performance is a fundamental task in computational musicology. To this end, we present an end-to-end deep learning approach that constructs detailed musical scores directly
Externí odkaz:
http://arxiv.org/abs/2410.00210
Autor:
Liu, Jingwei
This work presents a generative neural network that's able to generate expressive piano performance in MIDI format. The musical expressivity is reflected by vivid micro-timing, rich polyphonic texture, varied dynamics, and the sustain pedal effects.
Externí odkaz:
http://arxiv.org/abs/2408.00900
Recently, artificial intelligence techniques for education have been received increasing attentions, while it still remains an open problem to design the effective music instrument instructing systems. Although key presses can be directly derived fro
Externí odkaz:
http://arxiv.org/abs/2406.09326
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 4, p7887-7896. 10p.
Akademický článek
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Autor:
Li, Xiaoquan, Weiss, Stephan, Yan, Yijun, Li, Yinhe, Ren, Jinchang, Soraghan, John, Gong, Ming
Understanding and identifying musical shape plays an important role in music education and performance assessment. To simplify the otherwise time- and cost-intensive musical shape evaluation, in this paper we explore how artificial intelligence (AI)
Externí odkaz:
http://arxiv.org/abs/2401.02566
Autor:
Jisoo Park, Jongho Kim, Jeong Mi Park, Ahyeon Choi, Wen-Syan Li, Jonghwa Park, Seung-won Hwang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This study aims to build a comprehensive dataset that enables the automatic evaluation of piano performances. In real-world piano performance, especially within the realm of classical piano music, we encounter a vast spectrum of performance
Externí odkaz:
https://doaj.org/article/8733be1c2ccb442d8004a0b53af76a3b
Publikováno v:
Proceedings of the Forum for Information Retrieval Evaluation, FIRE, 2023, Panjim, India
Semantic embeddings play a crucial role in natural language-based information retrieval. Embedding models represent words and contexts as vectors whose spatial configuration is derived from the distribution of words in large text corpora. While such
Externí odkaz:
http://arxiv.org/abs/2401.02979
Akademický článek
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