Audio Visualizer VST Plug-In Development

Looking for plug in programmers/software developers that can build VST2 and VST3 plug ins? In JUCE or Python? Scope: build a vst plug in that can capture audio and visualize it on a spectrogram that corresponds to notes on a vertical piano roll. Once captured I want ability to highlight the frequencies I want then drag out a midi file representing the notes and frequencies I chose. How to Build This 1. Set Up Your Development Environment • JUCE: This framework supports audio and MIDI functionality, making it well-suited for creating a plugin like this. • Python with Librosa (if you want to prototype quickly): Python libraries like Librosa can analyze audio data and generate spectrograms, which could help if you want to test the core algorithm before porting it to JUCE. 2. Create the Spectrogram • FFT (Fast Fourier Transform): Use FFT to break down the audio signal into its frequency components. • Display the Spectrogram: Once you have the frequency data, visualize it in a spectrogram. JUCE provides tools for custom graphical interfaces, where you can use the FFT data to draw a color-mapped intensity plot. • Real-Time vs. Sample Playback: Decide if the spectrogram should update in real-time (for live audio) or load a sample to analyze. 3. Frequency Selection Tool • Implement a user interface that lets you click, drag, or draw over parts of the spectrogram to select specific frequencies. • Use a rectangle or lasso tool that allows the user to highlight frequency ranges, which can then be isolated for MIDI conversion. 4. Convert Frequency to MIDI Notes • Pitch Detection: For each selected frequency region, use pitch detection algorithms to determine the closest MIDI notes. • Fundamental Frequency Extraction: This step is crucial to avoid generating all harmonics as individual notes. You’ll need to isolate the fundamental frequency (or desired harmonics) and discard other components. • MIDI Note Mapping: Convert these fundamental frequencies to MIDI note numbers. For instance, 440 Hz corresponds to A4, so a frequency detected around 440 Hz would map to MIDI note 69 (A4). 5. Implement MIDI Note Export and Playback • MIDI File Export: Allow users to drag out and save their selected frequencies as a MIDI file. The plugin should have a basic user interface with essential functionality only. The VST plug-in should support both Windows and Mac. The VST plug-in will have a fixed interface design. update in real-time for live audio and analyze preloaded audio samples. The interface should be minimalistic, focusing on core functionality without unnecessary elements. The spectrogram visualization will have a fixed design and layout. The user interface should follow a minimalistic design style. The user interface should follow a modern minimalistic design style. The plugin should be fully compatible with Ableton Live and FL Studio.