Age prediction system and method based on voiceprint and facial image feature fusion

A face image and feature fusion technology, applied in character and pattern recognition, speech analysis, instruments, etc., can solve problems such as age prediction error, and achieve the effect of increasing accuracy

Inactive Publication Date: 2018-08-28
BEIJING EASY AI TECHNOLOGY CO LTD
View PDF8 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0023] The purpose of the present invention is to solve the problem that there are limitations in using voiceprint recognition or face recognition alone to predict age in the prior art, which leads to errors in age prediction, and an age prediction based on the fusion of voiceprint and face image features System and method

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
  • Age prediction system and method based on voiceprint and facial image feature fusion
  • Age prediction system and method based on voiceprint and facial image feature fusion
  • Age prediction system and method based on voiceprint and facial image feature fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] This embodiment provides an age prediction method based on fusion of voiceprint and face image features;

[0059] 1. Gender classification training process:

[0060] Image / voice data: When the system performs human-computer interaction, the system obtains two kinds of data through the microphone / camera: voice data and image data. When the device is in training mode, we need to train the obtained data separately. When the device is in the recognition mode, it is necessary to classify the obtained data by gender;

[0061] (1) Preprocessing: This step is mainly to process the original signal into a signal recognizable by the system through some specific processing. (2) Face preprocessing: First, the face in the image is detected by DLIB. Secondly, the detected face is subjected to mean filtering to filter out the noise in the image. Then, histogram equalization increases image contrast and reduces lighting effects. Finally, geometric normalization eliminates the influ...

Embodiment 2

[0100] This embodiment provides an age prediction system based on fusion of voiceprint and face image features: comprising: an image acquisition module, a sound acquisition module, a control module, a storage module and a training recognition module;

[0101] The image acquisition module: collect sample face images;

[0102] The sound collection module: collect sample sounds;

[0103] The storage module: receiving and storing the collected sample face image sent by the image collection module, receiving and storing the sample sound sent by the sound collection module;

[0104] The training identification module: call the sample face image and sample sound in the storage module to carry out training and identification to obtain a gender classifier, and obtain an age prediction classifier according to the fusion training of the sample face image, sample sound and gender classifier;

[0105] The storage module: receives and stores gender classifier and age prediction classifier;...

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 discloses an age prediction system and method based on voiceprint and facial image feature fusion, and aims to solve the problem that in the prior art, due to the fact that a voiceprintrecognition or human face recognition is adopted independently to predict the age, an error exists in the age prediction. A gender classifier is built by fusing the sound and the human face, and thengender classification is carried out on the data set according to the gender classifier, and the age prediction classifier based on the gender is obtained through training after classification is carried out, and the age prediction is realized by combining the comprehensive recognition of the sound and the human face. The problem of age prediction deviation caused by independent use of sound or human face is solved, and meanwhile, the male and female data sets are distinguished through the gender classifier, and the accuracy of age prediction is further improved. The method is suitable for therelevant field of age prediction.

Description

technical field [0001] The present invention relates to the field of face attribute recognition technology, voiceprint recognition technology and voice interaction technology, and in particular to an age prediction system and method based on fusion of voiceprint and face image features. Background technique [0002] The development of existing big data mining is becoming more and more mature. It is of great significance to conduct segmental analysis according to different users' age, etc., for more humanized human-computer interaction, image and video retrieval, intelligent monitoring, and demographic statistics. Face attribute recognition technology and voiceprint recognition technology have both developed to a certain extent. [0003] 1. Face attribute recognition technology: [0004] With the rapid development of computer vision theory and application research, traditional gender identification methods can no longer meet today's needs, and computer-based biometric identi...

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): G06K9/00G10L17/04
CPCG10L17/04G06V40/16G06V40/178G06V40/172
Inventor 徐枫陈建武肖谋
Owner BEIJING EASY AI TECHNOLOGY CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products