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System and method for decoding chord information from brain activity

A brain, chord technique

Pending Publication Date: 2022-05-13
VERSITECH LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when it comes to chord information, the aforementioned stimulus reconstruction-based techniques would largely limit the accuracy of chord estimation due to the limited reconstruction accuracy of full stimulus decoding
Additionally, the process of transcribing music to chords results in additional loss of information

Method used

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  • System and method for decoding chord information from brain activity
  • System and method for decoding chord information from brain activity
  • System and method for decoding chord information from brain activity

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Embodiment Construction

[0024] The subject described in the present invention can be simply understood as a "brain reading technique" focusing on decoding chord information in music listening, music imagination or other mental processes. Chord information extraction is usually based on the music piece itself and has never been achieved before by neuroscience-based computational methods. In this disclosure, the inventors describe a new method for decoding chord information from brain activity. Specific problems addressed by the present invention include but are not limited to: 1) In clinical settings, the assessment of auditory hallucination symptoms often relies on self-report systems and thus lacks accuracy, whereas the systems and methods described herein can help doctors and healthcare professionals To better understand the nature of the inner voice of patients with musical hallucinations (MH) and musical ear syndrome (MES) to improve the quality of treatment and healthcare. The aforementioned sm...

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Abstract

Systems and methods for decoding chord information from brain activity are disclosed, comprising: acquiring raw data of their brain activity when one or more subjects listen to music tagged with chord tags; extracting a brain activity mode from the original brain activity data; coupling the brain activity pattern and the music data in time to form training data of the decoding model; training a decoding model; optionally, the trained decoding model is trimmed by marking and using a small amount of originally unmarked brain activity data; acquiring a second batch of original brain activities from the subject via functional neural imaging in the various psychological music activities; and mapping the second batch of brain activities to corresponding chord information.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to U.S. Provisional Application Serial No. 63 / 106,486, filed October 28, 2020, the entire contents of which are incorporated herein by reference. technical field [0003] The present application discloses systems and methods for decoding chord information from brain activity. Background technique [0004] A chord is a combination of multiple pitches that sound as if they sounded at the same time. Chords and their sequences (chord progressions) can largely determine the emotional note of music, evoking specific subjective feelings, and are therefore central to musical perception and most musical compositional processes. In the field of music information retrieval, much research has been devoted to achieving better performance in automatic chord estimation (ACE), which is considered to be one of the most important tasks in this field. [0005] In addition to extracting chords from pre-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/38A61B5/00G06N3/04G06N3/08
CPCA61B5/38A61B5/7267G06N3/084G06N3/045G10G1/04G06N3/08G06N3/044G06N3/004
Inventor 马鑫阳坤
Owner VERSITECH LTD
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