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Singing classification method based on brain wave

A classification method, brain wave technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., to achieve the effect of automatic evaluation

Pending Publication Date: 2018-09-28
校宝在线(杭州)科技股份有限公司
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Problems solved by technology

Manual evaluation requires specialized labor, and at the same time, manual reading is required to give a professional classification

Method used

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Embodiment Construction

[0022] The present invention will be further described below in combination with specific embodiments.

[0023] A kind of singing classification method based on electroencephalogram, comprises training stage and evaluation stage, described training stage refers to: utilize electroencephalogram signal, utilize deep learning technology to train the feature extraction model of rhythm, rhythm, style of singing, according to The feature extraction model extracts features, and finally trains to obtain a singing classification model; the evaluation stage refers to: the brain wave sensor acquires brain wave signals, extracts the characteristics of rhythm, rhythm, and style of singing, and uses the singing classification model to classify singing.

[0024] Among them: the training phase steps are as follows:

[0025] (1) Data collection, establishment of brain wave signal corpus and singing corpus; brain wave sensor detects the human brain, and converts the collected original brain wav...

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Abstract

The invention discloses a singing classification method based on a brain wave. The method comprises a training stage and an evaluation stage, wherein the training stage comprises the following steps that: applying a brain wave signal, utilizing a deep learning technology to train a feature extraction model of the rhythm, the tempo and the style of singing, extracting features according to the feature extraction model, and finally, carrying out training to obtain a signing classification model; and the evaluation stage comprises the following steps that: obtaining the brain wave signal by a brain wave sensor, extracting the features of the rhythm, the tempo and the style of singing, and utilizing the signing classification model to carry out singing classification. The method has the beneficial effects that brain wave detection, a signal processing technology and a machine learning method are applied to realize the accurate and automatic evaluation of singing, and a purpose of the automatic classification of singing can be achieved.

Description

technical field [0001] The present invention relates to the technical field related to machine learning, in particular to a brainwave-based singing classification method. Background technique [0002] With the improvement of people's living standards, people's enthusiasm for singing is increasing day by day. It is of great significance to study how to effectively and quickly automatically classify singing songs, which can not only significantly reduce the workload of humans, but also improve the performance of listening to singing. Manual evaluation requires specialized labor, and at the same time, manual reading is required to give a professional classification. With the development of modern science and technology, the development of brain wave technology has entered the fast lane, and it has been applied more and more in new fields. Contents of the invention [0003] The present invention aims to overcome the above-mentioned deficiencies in the prior art, and provides...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/08G06F2218/12
Inventor 蒋阳波
Owner 校宝在线(杭州)科技股份有限公司
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