DamRsn - NeuralNote 2.0.0 & Models STANDALONE, VST3 x64

[Farid-Khan]

Format: STANDALONE, VST3
Quotion: 64bit
The tablet: not required
System requirements:
OS: Win 10+
CPU: x64-compatible CPU
GPU: Supported by GPU with Vulkan, especially recommended for Medium and Large models
SSD (HDD): Additional about 210 MB for Small, 620 MB for Medium or 2.7 GB for Large
Internet: Required for initial model loading and update verification
The recognition works on both the processor (CPU) and the graphics card (GPU)

- Audio-to-MIDI : converting audio to MIDI with automatic note definition
- Multitrack recognition : processing entire mixes with the separation of notes by tools.
- New MuScriptor Model : The second version uses a more powerful recognition model developed by Kyutai and Mirelo instead of Spotify Basic Pitch
- Built-in Synthesizer : Listening to recognized batches with individual volume adjustment, Mute and Solo functions
- Local processing : audio is analyzed directly on your computer, without sending recordings to the server
- GPU and CPU support : calculations are performed on a graphics card or processor.
- Three Model Sizes : Small, Medium, and Large - to choose the optimal balance between speed and quality
- MIDI Export : dragging pre-made MIDI parties into the DAW project or saving to a fileIn the hand all three models

Updated. Models added

Notes
Models copy along the way (C:\Users\UserName\AppData\Roaming\NeuralNote\models),
or install ourselves (NeuralNote loads models in GGUF format from the repository
DamRsn/muscriptor-gguf on Hugging Face)
MuScriptor is available in three sizes: Small, Medium and Large. The larger the model, the higher the potential recognition quality, but the more time and computing resources are required to operate

**◆─🎬─◇─📺─◆─🎵─◇─📚─◆─🎧─◇─🪟─◆─📱─◇─🍎─◆─🎮─◇─🎓─◆**

💾 DamRsn - NeuralNote 2.0.0 & Models STANDALONE, VST3 x64 (3.36 GB)
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