[AI Tone Morphing Plugin] Neutone Morpho (Ai Tone Morphing) v1.1.1 VST3 AU STANDALONE [WiN, MacOSX] (431MB)

18/02/2025 | VST3 AU STANDALONE WiN MAC | 431 MB

Installation method:Direct install, no activation version.

Introducing Neutone Morpho - AI Tone Morphingplug-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.

The Neutone Morpho algorithm utilizes an autoencoder AI algorithm consisting of an encoder and decoder to transform audio. The encoder analyzes incoming audio and outputs information about the pitch, loudness, and other more subtle features of the incoming audio (sometimes called latent variables). The model is trained for a specific type of sound (e.g., violin playing) and can create pitch transfer effects by interpreting different input sounds in the context of the training data.

request
Click to view

Mac
Mac OS 12.0+
Intel or Apple Silicon
Plug-in format: VST3/AU

Windows (computer)
Windows 10 & 11
Plug-in format: VST3

Tested DAW
Ableton Live 11 & 12
Logic Pro 10
Bitwig Studio 5
Studio One 6
Cubase 13
Reaper 7

freelance model

avant-garde sitar
Holiday Latin Percussion
Mars Men's Chorus Presentation
miss
Space Mission Broadcasting

Update Log:

v1.1.1
Functions and changes:
- Improved inference engine stability
- Optimized Blob Visualizer Behavior
- Fix custom resource location handling
- Fix bypass switching that doesn't last
- Fix logic not getting latency compensation when rendering offline
- Fix macro knob automation behavior
- Fix delayed synchronization preset not working correctly
Saved Issues - Added error handling for model load failures and model loss

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

Click to viewMac
Mac OS 12.0+
Intel or Apple Silicon
Plugin Format: VST3/AUWindows
Windows 10 & 11
Plugin Format: VST3Tested DAWs
Ableton Live 11 & 12
Logic Pro 10
Bitwig Studio 5
Studio One 6
Cubase 13
Reaper 7

Free Models

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

Changelog.

v1.1.1
Features and Changes.
- Improved inference engine stability
- Optimized Blob visualiser behaviour
- Fixed custom resources location handling
- Fixed Bypass toggles not persisting
- Fixed Logic not getting latency compensation on offline renders
- Fixed Macro knob automation behaviour
- Fixed Presets with Delay Sync not saving properly
- Added error handling for model loading fail and models missing

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