重混

Multi tool use
本文介紹的是音乐制作中的二次混音。關於制作新音乐时的
混音步骤,請見「
混音」。
重混(英語:remix)[1]是種音樂技術,應用於歌曲的原來版本,經過重新混音,形成另一種版本。
混音師會利用電腦與合成器,創作一首歌主要編曲的另一個版本,增加或減除一些音符,或單純改變等化器、強弱、音高、速度、曲調長度、以及其他各方面構成音樂的要素,目的是想令歌曲給人們有一個新鮮的感覺。
應用
製作高品質的音MAD作品的過程當中,對於聲源素材與原曲的調和,多用到諸如此類的電腦技術。
腳注
艺术挪用
|
---|
| 根据领域分类 |
音乐 | - 挪用
- 私制唱片
改写
- 换词
- 翻唱
- 补插
- 音乐混合曲列表
- 混搭
- 音乐剽窃
- 音乐引用
- 音乐模仿
- 混成音乐
- 音乐劫掠
- 什锦音乐
- DJ混曲
- 集腋曲
- 重混
- 采样
- 声音拼贴
- 变唱咏
- 变奏曲
|
---|
| 文学 / 戏剧 | |
---|
| |
- 拼贴画
- Swipe
- Comic strip switcheroo
- Photographic mosaic
- Combine painting
根据素材划分 | - Mona Lisa
- Michelangelo's David
- Michelangelo's Pietà
|
---|
|
---|
| 电影 / 电视 / 视频 | - Video mashup
- Re-cut trailer
- TV format
- Found footage
- Remake
- Parody film
- Collage film
|
---|
|
---|
| 一般概念 |
互文 | - Allusion
- Calque
- Plagiarism
- Pastiche
- Parody
- Quotation
- Translation
|
---|
| 改编 | |
---|
| 其他 | - Assemblage (art)
- Bricolage
- Citation
- Derivative work
- Détournement
- Found object
- Homage
- Imitation in art
- Mashup
- Reprise
- Source criticism in the arts
|
---|
|
---|
| 相关艺术概念 | - Originality
- Artistic inspiration
- Afflatus
- Genius (literature)
- Genre
- Genre studies
- Parody advertisement
- In-joke
- Tribute act
- Fan fiction
- Simulacrum
- Archetypal literary criticism
- Readymades of Marcel Duchamp
- Anti-art
- Pop art
- Aesthetic interpretation
- Western canon
|
---|
| 标准模块与形式 | - Jazz standard
- Stock character
- Plot device
- Dramatic structure
- Formula fiction
- Monomyth
- Archetype
|
---|
| 划时代作品 | L.H.O.O.Q. (1919)
- "Pierre Menard, Author of the Quixote" (1939)
Reality Hunger: A Manifesto (2010)
|
---|
| 理论研究 | - Mimesis
- Dionysian imitatio
- De Copia Rerum
- Romantic movement
- Russian formalism
- Modernist movement
- Postmodern movement
- Palimpsests: Literature in the Second Degree
|
---|
| 相关非艺术概念 | - Cultural appropriation
- Appropriation in sociology
- Articulation in sociology
- Trope (linguistics)
- Academic dishonesty
- Authorship
- Genius
- Intellectual property
- Recontextualisation
|
---|
|
8TNd,LOIpQ,sPN i4 aK0Gso5FzMnxJwX,v Zsqn4PbT4aVvA9,SeJG9tW,qB
Popular posts from this blog
Ramiro Burr's New Blog - to go back: www.ramiroburr.com From Latin rock to reggaeton, boleros to blues,Tex-Mex to Tejano, conjunto to corridos and beyond, Ramiro Burr has it covered. If you have a new CD release, a trivia question or are looking for tour info, post a message here or e-mail Ramiro directly at: musicreporter@gmail.com Top Tejano songwriter Luis Silva dead of heart attack at 64 By Ramiro Burr on October 23, 2008 8:40 AM | Permalink | Comments (12) | TrackBacks (0) UPDATE: Luis Silva Funeral Service details released Visitation 4-9 p.m. Saturday, Rosary service 6 p.m. Saturday at Porter Loring, 1101 McCullough Ave Funeral Service 10:30 a.m. Monday St. Anthony De Padua Catholic Church, Burial Service at Chapel Hills, 7735 Gibbs Sprawl Road. Porter Loring (210) 227-8221 Related New Flash: Irma Laura Lopez: long time record promoter killed in accident NewsFlash: 9:02 a.m. (New comments below) Luis Silva , one of the most well-known ...
1 I having trouble getting my ResourceDictionary.MergedDictionaries to load from app.xaml. My WPF app has a static class with a Main defined and startup object set to it. Within Main I created an instance of App and run it. The override OnStartup fires and the mainwindow.cs InitializeComponent gives the error "Message "Cannot find resource named 'MaterialDesignFloatingActionMiniAccentButton'. If I put the resources in the mainwindow.xaml everything is fine, but I wanted them to load at the app level so I they are not in each page. Any help appreciated. public partial class App protected override void OnStartup(StartupEventArgs e) base.OnStartup(e); var app = new MainWindow(); var context = new MainWindowViewModel(); app.DataContext = context; app.Show(); from the Main.. var app = new App(); app.Run(); app.xaml.. <Application x:Class="GS.Server.App" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:...
up vote 2 down vote favorite There is a clear pattern that show for two separate subsets (set of columns); If one value is missing in a column, values of other columns in the same subset are missing for any row. Here is a visualization of missing data My tries up until now, I used ycimpute library to learn from other values, and applied Iterforest. I noted, score of Logistic regression is so weak (0.6) and thought Iterforest might not learn enough or anyway, except from outer subset which might not be enough? for example the subset with 11 columns might learn from the other columns but not from within it's members, and the same goes for the subset with four columns. This bar plot show better quantity of missings So of course, dealing with missings is better than dropping rows because It would affect my prediction which does contain the same missings quantity relatively. Any better way to deal with these ? [EDIT] The nullity pattern is confirmed: machine-learning cor...