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Neutone Morpho Ai Tone Morphing v1.1.2 音调AI变形 |
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支持系统：Windows.MAC |
音源厂商：https://neutone.ai/morpho |
独立安装程序 PC + MAC |
文件大小：444MB |
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Neutone Morpho - AI 音色变形插件隆重推出 我们很高兴推出 Neutone Morpho，这是一款实时音色变形插件。我们先进的机器学习技术可以将任何声音转化为全新且富有灵感的声音。Neutone Morpho 直接处理音频，捕捉您输入中最细微的细节。使用 Neutone Morpho 释放您的创造力！ 什么是 AI 音色变形？ 借助预先训练的 AI 模型，您可以将任何输入音频实时转换为该模型所基于的声音特征或"风格"。有时，这会带来意想不到的效果。 Neutone Morpho（AI 音色变形）v1.1.2 VST3 AU 独立 WiN MAC [免费] 截图 Neutone Morpho 的核心是 Morpho AI 模型，奇迹由此发生。您可以通过两种模式与已加载的 Morpho 模型进行交互，以影响音色变形过程。 在宏模式下，您可以使用四个宏旋钮来更改模型的常规行为。例如，"Serendipity"旋钮决定了传输的随机性，更高的随机性会产生更复杂的声音。每个模型都有其独特的宏。例如，打击乐模型可能有一个名为"Decay"的旋钮，用于控制每次击打的衰减。 Morpho AI 模型将输入音频分解为 6 个或更多值，这些值被称为"潜在变量"。在微视图中，您可以使用 Morpho 修改器直接偏移和缩放这些值，从而控制输出朝特定方向发展。您甚至可以发现潜在变量与输出音高之间隐藏的关联。 Neutone Morpho 算法利用由编码器和解码器组成的自动编码器 AI 算法来转换音频。编码器会分析输入音频，输出有关音高、响度和其他更细微特征（有时也称为潜在变量）的信息。该模型针对特定类型的声音（例如小提琴演奏）进行训练，并能够通过在训练数据的背景下解读不同的输入声音来创建音调迁移效果。 要求 剧透： 免费模型： Introducing Neutone Morpho - AI Tone Morphing plugin We're pleased to present Neutone Morpho, a realtime tone morphing plugin. Our cutting-edge machine learning technology can transform any sound into something new and inspiring. Neutone Morpho directly processes audio, capturing even the subtlest details from your input. Unleash your creativity with Neutone Morpho! What is AI Tone Morphing? With pre-trained AI models you can transform any incoming audio into the characteristics, or "style", of the sounds that the model is based on. In real-time. Sometimes this leads to surprising outcomes. Neutone Morpho (Ai Tone Morphing) v1.1.2 VST3 AU STANDALONE WiN MAC [FREE] screenshot At the core of Neutone Morpho are the Morpho AI models, where the magic happens. You can interact with a loaded Morpho model in two modes to influence the tone-morphing process. In Macro Mode, you have four macro knobs that allow you to change the general behaviors of the model. For example, the "Serendipity" knob determines the level of randomness in the transfer, with higher serendipity resulting in more complex sound. Each model has its own unique macros. For instance, a percussion model may have a knob called "decay" that controls the decay of each hit. The Morpho AI model crunches incoming audio into 6 or more values, referred to as "latent variables." In Micro View, you can directly offset and scale those values with Morpho Modifiers to steer the output in certain directions. You may even uncover a hidden correlation between a latent variable and the pitch of the output. The Neutone Morpho Algorithm utilizes an autoencoder AI algorithm consisting of an encoder and decoder to transform audio. The encoder analyzes the incoming audio, outputting information about the pitch, loudness and other more subtle features of the incoming audio (this is sometimes referred to as the latent variable). The model is trained on specific types of sounds, such as violin performances, and can create a tone transfer effect by interpreting different input sounds in the context of the trained data. Requirements Spoiler: Free Models: |