Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Piano fingering intelligent identification method

An intelligent recognition, piano technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problems of robust application effect, hand-designed features are easily affected by external factors, etc., to achieve good robustness, improve The effect of efficiency

Pending Publication Date: 2021-03-12
上海悠络客电子科技股份有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, hand-designed features are easily affected by external factors, and the actual application effect is not robust.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Piano fingering intelligent identification method
  • Piano fingering intelligent identification method
  • Piano fingering intelligent identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] An intelligent recognition method for piano fingering, the overall steps are as follows.

[0032] Step 1 Camera installation and debugging: install a camera, the camera’s angle of view can fully cover the piano keyboard, and the picture quality should be as clear as possible, and the camera can be connected to the piano display screen to display the piano keyboard picture on the piano screen in real time.

[0033] Step 2 Piano keyboard segmentation: The deep learning-based salient object detection algorithm SOD100K[1] (Highly Efficient Salient Object Detection with 100KParameters) is mainly used for piano keyboard segmentation. The lightweight network proposed by this algorithm is mainly composed of feature extractors and cross-stage Composed of fusion parts, it can process features of multiple scales at the same time. The fea...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a piano fingering intelligent identification method. The piano fingering intelligent identification method comprises the following steps of installing and debugging a camera: segmenting a piano keyboard by using a saliency target detection algorithm based on deep learning, piano keyboard calibration: detecting a playing hand, detecting playing finger key point coordinates byusing a human hand key point detection algorithm, and joint matching of playing fingers and piano keyboard information. According to the method based on the deep convolutional neural network, a neural network model is generally designed to mine deeper and more abstract image features, manual participation is not needed, the influence of illumination, postures and the like is small, and the adaptability to complex scenes is higher.

Description

technical field [0001] The invention relates to an intelligent recognition method for piano fingering. Background technique [0002] In the piano score playing scene, it is necessary to manually confirm whether the playing technique is correct. In actual operation, this requires the observer to watch the player's finger movements and familiarity with the score all the time. This just can't realize that an observer observes multiple players at the same time and gives timely playing fingering judgment, especially for the person who does not have an instructor to study by himself, it is impossible to study alone at all. [0003] Learning to play the piano is mainly to learn how to play it with your fingers according to the score. In the teaching of piano playing, judge whether the score and the corresponding fingerings correspond one-to-one to measure the correctness of playing. In piano practice, if a teacher wants to personally check whether the fingerings of multiple studen...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62G06N3/04G06N3/08G09B15/06
CPCG06N3/084G09B15/06G06V40/28G06V10/464G06V10/267G06V10/44G06N3/045G06F18/24
Inventor 张祥祥沈修平
Owner 上海悠络客电子科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com