找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computational Music Analysis; David Meredith Book 2016 Springer International Publishing Switzerland 2016 Algorithmic Composition.Algorith

[复制链接]
楼主: counterfeit
发表于 2025-3-25 06:52:25 | 显示全部楼层
https://doi.org/10.1007/978-3-642-81894-3computationally tractable, we present the implementation of a musical morphing system that, given two original melodies, generates an intermediate melody at any internally dividing point between them (i.e., at any ratio).
发表于 2025-3-25 10:53:48 | 显示全部楼层
The Harmonic Musical Surface and Two Novel Chord Representation Schemesiom-independent manner. Musical examples and preliminary evaluations of both encoding schemes are given, illustrating their potential to form a basis for harmonic processing in the domain of computational musicology.
发表于 2025-3-25 14:03:38 | 显示全部楼层
Chord- and Note-Based Approaches to Voice Separationerall accuracy for the C2C model turned out slightly higher but without statistical significance in our experiment. From a musical as well as a perceptual and cognitive perspective, this result indicates that feature design that makes use of the additional information available in the C2C approach is a worthwhile topic for further research.
发表于 2025-3-25 17:38:22 | 显示全部楼层
Interactive Melodic Analysisnteractive pattern recognition provide tools that have proven to be very convenient in this context. Experimental evidence will be presented showing that this seems to be a suitable way to approach melodic analysis.
发表于 2025-3-25 23:58:35 | 显示全部楼层
发表于 2025-3-26 01:47:34 | 显示全部楼层
发表于 2025-3-26 07:32:14 | 显示全部楼层
发表于 2025-3-26 09:58:40 | 显示全部楼层
发表于 2025-3-26 15:56:23 | 显示全部楼层
Implementing Methods for Analysing Music Based on Lerdahl and Jackendoff’s ,an tree analyser (FATTA); the sGTTM analyser, which detects local grouping boundaries by combining GTTM with statistical learning using a decision tree; and the sGTTM-II analyser, with which we introduce full parameterization and statistical learning.
发表于 2025-3-26 17:18:27 | 显示全部楼层
https://doi.org/10.1007/978-3-319-25931-4Algorithmic Composition; Algorithms; Computational Music Analysis; Computer Music; Machine Learning; Math
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-30 20:35
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表