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Baby crying identifying method and system

A cry and baby technology, applied in the field of baby cry analysis, can solve the problems of long training time, large amount of calculation for deep neural network training, relatively high requirements for computer equipment, etc., and achieve the effect of good fault tolerance

Active Publication Date: 2017-05-10
XIN HUA HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the training calculation of deep neural network is very large, the training time is relatively long, and the requirements for computer equipment used for training are relatively high.

Method used

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  • Baby crying identifying method and system
  • Baby crying identifying method and system

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Embodiment Construction

[0071] In the following description, many technical details are proposed for readers to better understand the present invention. However, those skilled in the art can understand that even without these technical details and various changes and modifications based on the following embodiments, the technical solution required by each claim of the present invention can also be realized.

[0072] It should be noted that the various crying causes referred to in the present invention all refer to possibilities, especially the "pathological" crying causes do not refer to being diagnosed as having a disease, let alone being determined to be suffering from a certain disease, but only to explain the cause of the disease. It is more likely, so it is recommended to go to the hospital for examination, so as not to delay the condition because the baby's parents have no experience in raising children.

[0073] In order to make the purpose, technical solution and advantages of the present inv...

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Abstract

The invention relates to analysis of baby crying, and discloses a baby crying identifying method and system. The method includes the steps of extracting characteristic parameter vectors from training data, conducting principle component analysis, obtaining and selecting multiple principle components, and determining probability distribution of baby crying reasons according to projection scores of data to be identified on the parameter vectors of the principle components. According to the invention, with low training computational complexity, probability distribution of multiple crying reasons of a piece of baby crying audio can be obtained accurately, and great fault tolerance is exhibited.

Description

technical field [0001] The invention relates to the analysis of baby crying, in particular to the identification technology of the reason of baby crying. Background technique [0002] Crying is the baby's first way of speaking, and it is also the only way for babies to communicate with the outside world. Experienced mothers and doctors can understand the baby's emotions, needs and health through the baby's cry. Due to the decline in the birth rate in modern society, many mothers have only one child and lack relevant experience. There is an urgent need for technical means to help young mothers understand the needs of their babies through crying. [0003] The Chinese invention patent of 201310347807.8 proposes a method for identifying baby crying sounds based on deep neural networks. The method includes the following steps: collecting baby crying data for training; classifying and marking the baby crying data for training; extracting each The cepstral coefficient of each sec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/02G10L15/06G10L25/48
CPCG10L15/02G10L15/063G10L25/48
Inventor 沈晓明
Owner XIN HUA HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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