[AI Tone Morphing Plugin] Neutone Morpho (Ai Tone Morphing) v1.1.2 VST3 AU STANDALONE [WiN, MacOSX] (464MB)

[AI音色变形插件] Neutone Morpho (Ai Tone Morphing) v1.1.2 VST3 AU STANDALONE [WiN, MacOSX](464MB)插图

29/04/2025 | VST3 AU STANDALONE WiN MAC | 464 MB

Installation method:Direct install, no activation version.

Neutone Morpho 隆重推出 – AI 音色变形plug-in (software component)

We're excited to introduce Neutone Morpho, a real-time tone morphing plugin. Our cutting-edge machine learning technology transforms any sound into something new and inspiring.Neutone Morpho processes audio directly, capturing the finest details from your input. Unleash your creativity with Neutone Morpho!

What is AI Tone Deformation?

Using pre-trained AI models, you can transform any incoming audio into the character or "style" of sound on which the model is based. In real time. Sometimes this leads to surprising results.

Morpho model

At the heart of Neutone Morpho are Morpho AI models, where the magic happens. You can interact with the 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 behavior of the model. For example, the "Serendipity" knob determines the level of randomness in the transmission, with higher Serendipity producing more complex sounds. Each model has its own unique macro. For example, a percussion model might have a knob called "decay" that controls the decay of each hit.

The Morpho AI model processes incoming audio into 6 or more values called "latent variables". In Micro View, you can use Morpho Modifiers to directly offset and scale these values to shift the output in certain directions. You may even find a hidden correlation between Latent Variables and the output pitch.

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。编码器分析传入的音频,输出有关传入音频的音高、响度和其他更细微特征的信息(有时称为 latent 变量)。该模型针对特定类型的声音(例如小提琴演奏)进行训练,并且可以通过在训练数据的上下文中解释不同的输入声音来创建音调传递效果。

request

免费型号:
Avant-Gard 西塔琴
Holiday Latin Percussion
火星男声合唱团
小姐演讲者
太空任务 收音机

Update Log:

v1.1.2
– 宏观-微观映射和范围更改
– 修复了模型浏览器排序行为
– 优化了模型列表加载
– 修复了许可证错误和到期问题

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 Neutone Morpho directly processes audio, capturing even the subtlest details from your input. Unleash your creativity with Neutone Morpho! 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. Sometimes this leads to surprising outcomes.

Morpho Model

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 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 For example, the "Serendipity " knob determines the level of randomness in the transfer, with higher serendipity resulting in more complex sound. 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 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 "encoder"). 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. 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

Free Models:
Avant-Gard Sitar
Festive Latin Percussions
Martian Male Choir
Miss Speaker
Space Mission Radio

Changelog.

v1.1.2
– Macro-Micro mapping and ranges changed
– Fixed model browser sorting behaviour
– Optimized model list loading
– Fixed issue with license errors and expiry

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