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Extinction [Deep Learning Edit] by Sascha Ende

充满活力的电子节拍与大气的合成器音垫和紧张的电影质感融合。包含经过处理的人声元素,营造出未来主义和戏剧性的氛围,非常适合科幻、科技主题、预告片和具有冲击力的企业视觉效果。

Extinction [Deep Learning Edit]
充满活力的电子节拍与大气的合成器音垫和紧张的电影质感融合。包含经过处理的人声元素,营造出未来主义和戏剧性的氛围,非常适合科幻、科技主题、预告片和具有冲击力的企业视觉效果。
00:00 /  04:44
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Laden...
  • 00:02 : Processed male spoken word intro begins, establishing a futuristic/AI theme.
  • 00:38 : Pulsing synth rhythm established, building underlying tension.
  • 01:21 : Main percussive beat enters with driving synth bass, significantly lifting energy and pace.
  • 01:26 : Sweeping cinematic synth strings (or string-like pads) introduced, adding epic scope and harmonic layer.
  • 02:09 : Peak intensity of the first main section with layered synths and driving rhythm.
  • 02:40 : Brief atmospheric breakdown section, spoken word reappears, creating dynamic contrast.
  • 03:35 : Return of the main driving beat and cinematic elements for the track's final powerful statement.
  • 04:16 : Decrescendo begins as rhythmic and melodic elements start to fade out for the outro.
  • 04:21 : Final spoken word phrase delivered before track conclusion.
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这首名为“灭绝[深度学习编辑]”的曲目呈现了一个引人入胜且高度精致的电子音景,直接满足了现代媒体制作的需求。从一开始,它就建立了一种独特的氛围——既具有未来感、紧张感,又充满了严肃的叙事分量。经过处理的男性口语介绍立即引起人们的注意,设定了一个主题基调,与当前人们对技术、人工智能和未来的关注完美契合。这不仅仅是背景音乐,更是一件具有声明意义的作品。

制作质量非常出色。混音干净、宽广且充满活力,使每个元素都能有效地占据自己的空间。丰富、不断演变的合成器音垫营造出深厚的氛围背景,而精确、驱动的电子打击乐和音序贝斯线则提供了强大的前进动力。大约在 1:26 处引入的扫弦般的弦乐合成器层将曲目提升到真正的电影领域,增加了一种史诗般的范围,非常适合在片头序列、戏剧性的揭示或广阔的建立镜头下使用,尤其是在科幻或惊悚类型中。

它在各种媒体中的可用性是一个关键优势。对于电影和电视,它自然适合强调涉及技术进步、公司间谍活动、反乌托邦未来或需要持续紧张和现代感的场景。构建和动态变化经过精心处理,为编辑提供了清晰的提示点。在广告中,其精致、成熟且略带前卫的感觉使其成为科技品牌、旨在打造未来形象的汽车广告或需要传达创新和力量的活动的理想选择。

除了传统的同步之外,此曲目还为数字内容创作者提供了重要的价值。其大气但充满活力的特性使其成为处理科学、技术或社会评论的播客介绍/结尾的绝佳选择。对于 YouTube 内容,它可以有效地为频道预告片、技术评论或探索复杂主题的纪录片式视频配乐。即使没有明确的口语,其固有的叙事质量也适合讲故事。

即使在游戏世界中,此曲目也能找到归宿。它可以作为科幻 RPG 的主菜单音乐,强调紧张的探索片段,或伴随描绘重要情节的过场动画。它的能量水平非常适合保持参与度,而不会变得过于分散注意力。

曲目的结构从大气开场到激烈、驱动的部分,再回到更具反思性的结尾,在一个作品中提供了多功能性。虽然其核心情绪是严肃而紧张的,但精致的执行和强大的高潮也注入了一种敬畏和规模感。它成功地避免了听起来很普通,从而塑造了一种既现代又具有影响力的特定声音身份。对于任何满足于需要复杂、前瞻性和戏剧性共鸣的电子配乐项目的制作库来说,这是一项非常有价值的资产。

Additional Information

Over five years of hard work. Let me introduce you: The first song written entirely by an artificial intelligence. Even the lyrics are based on a deep learning algorithm that was previously fed with content. The voice was then generated by a neural voice generator. This song uses the pattern m5M, which is often used in film music.
I have been working on music theory for a long time. Back then it all started with the website "Chordfinder", which automatically generated good sounding chords based on the most popular patterns of pop music. Since music is ultimately based on mathematics and rules, it wasn't too difficult to generate midi files that could be automatically imported into Cubase as tracks.
I only had to do the mixing. And the subsequent mastering of the music was also done by an artificial intelligence.
The question now is: Is this music or is it not music? Is it art or is it not art just because it is not created by a human being? Who is the artist when an artificial intelligence produces a song: The programmer or the artificial intelligence?
If artificial intelligence eventually takes on human traits and emotions, this question will nevertheless become very relevant at some point - because artificial intelligence will claim to have performed the creative work without the programmer.
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