Baby crying sound translation method based on sound feature recognition

Abstract

The invention discloses a baby crying sound translation method based on sound feature recognition. According to crying sound characteristic differences of babies in different physiological states, crying sound characteristic parameters of babies in different physiological states are extracted respectively by using a computer sound processing technology, wherein the crying sound characteristic parameters are 16 characteristic parameters including 11 characteristic parameters: the tone, pitch, loudness, energy, frequency and frequency co-occurrence matrix; on the basis of a BP neural network algorithm, crying sound sections of the babies in different physiological states are collected, denoising and filtering are carried out on the sound sections, a correspondence relationship between baby crying sound characteristic differences and six kinds of physiological states including hunger, drowsiness, pain, boredom, fear and discomfort is established, and identification results of hunger, drowsiness, pain, boredom, fear and discomfort are provided. In the trained BP neural network, characteristic parameters extracted from any baby crying sound section are inputted and thus an identification result is obtained from the output layer, so that the baby care quality and efficiency are improved and the erroneous determination and delayed determination in baby caring are reduced.

Description

technical field [0001] The invention relates to the technical field of sound recognition, in particular to a baby cry translation method based on sound feature recognition. Background technique [0002] In the traditional process of accompanying infants and young children, since infants do not yet have the ability to speak, their physiological needs and emotional expression mainly rely on the experience and judgment of the guardians to observe the infant's expressions, appearance phenomena, and somatosensory characteristics. This method relies on the experience of the caregivers to a certain extent, but young parents or other caregivers rarely receive professional training, resulting in insufficient or varying experience, and there is no relatively uniform reference standard. This traditional empirical judgment has the following disadvantages: 1. Because the caregiver did not grasp the baby's physiological or psychological needs in time, the quality of care was reduced and t...

AI Technical Summary

Problems solved by technology

This method relies on the experience of the caregivers to a certain extent, but young parents or other caregivers rarely receive professional training, resulting in inexperienced or different caregivers, and there is no relatively uniform reference standard

This traditional empirical judgment has the following disadvantages: 1. Because the caregiver did not grasp the baby's physiological or psychological needs in time, the quality of care was reduced and the efficiency was not high; 2. The baby's medical treatment, Untimely treatment

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