Real-time audio-to-digital note conversion

By using machine learning models to analyze the spectrogram of audio signals, MIDI format musical score data can be generated in real time, solving the problem of non-real-time audio signal conversion in existing technologies and improving the efficiency and quality of music creation.

CN122249850APending Publication Date: 2026-06-19MACDOUGAL STREET TECHNOLOGY INC
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
MACDOUGAL STREET TECHNOLOGY INC
Filing Date
2024-11-14
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

The lack of existing technology for tools that can convert audio signals into MIDI format in real time leads to interruptions and a decline in the quality of music creation, especially for young musicians who lack music education.

⚗Method used

By processing audio signals in real time, using machine learning models such as convolutional neural networks (CNNs) to analyze spectrogram data, generating note event probability values, and filtering out inaccurate frames, MIDI format sheet music data is generated in real time.

🎯Benefits of technology

It enables real-time and accurate conversion of audio signals into MIDI format, reducing delays in the creation process and improving the efficiency and quality of music creation.

✦ Generated by Eureka AI based on patent content.

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Abstract

A technique for converting audio into digital musical notation in real time is described. In the implementation, the process receives a sample sequence of an audio stream in real time. Based on this sample sequence, the process generates a window set of note event probability values. The process excludes leading and trailing sets of event probability values ​​from the window set of event probability values, thereby generating a filtered window set of event probability values. Based on the filtered window set of event probability values, the process determines a set of sequences of note-on and note-off events.
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