TempoGeist is an ambitious project under development, aiming to redefine the integration of AI/ML tools within the realm of real-time musical collaboration. Our vision is to create a predictive and generative AI/ML tool that excels in real-time MIDI note prediction and streaming latency remediation, harnessing the power of MIDI 2.0's enhanced capabilities. The primary goal is to enhance real time collaboration, performance and mastering by reducing latency and other interupts which may occur during a live stream.
Our mission is to create both AI and non AI-based tools that enhance and inspire the creativity within all of us.
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Real-Time MIDI Prediction: TempoGeist will feature a concurrent stream of predictive MIDI data, powered by sophisticated AI/ML algorithms that adapt based on real-time user inputs and historical data.
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Latency Remediation: With a focus on individual user experiences, TempoGeist will predict and adjust MIDI notes to compensate for input latency, ensuring a seamless creative flow.
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MIDI 2.0 Integration: By incorporating MIDI 2.0's expanded expressiveness and precision, TempoGeist will offer a tool that is both highly responsive and nuanced in its musical predictions.
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DAW Compatibility: Designed to run in the background, TempoGeist will integrate with a variety of Digital Audio Workstations, enhancing the music production process without disrupting the artist's creative intent.
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User Input Priority: TempoGeist respects the artist's control, allowing for real-time user input to override any predictive data, ensuring that the final musical output remains true to the artist's vision.
TempoGeist is in the alpha stage of development. We are diligently working on incorporating MIDI 2.0 features to ensure TempoGeist is a cutting-edge tool for musical innovation.
The project is not yet open for public contributions, but we are preparing for a collaborative future. Detailed guidelines for contributions will be provided as the project matures.
For further information on TempoGeist and to keep up with our progress, please check updates on this readme, contact details to be added shortly.
This section will be updated with licensing information as the project progresses.
This section will be updated to acknowledge those who contribute to the development of TempoGeist.
Note: This README is subject to change. Sections marked with a placeholder message will be updated as the project advances.