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

Method for detecting human voice or machine sound through voiceprint engine to perform identity verification

A voiceprint and engine technology, applied in the field of identity recognition, can solve the problems of recognition failure, inability to directly determine whether there is a recording, increase the complexity of user verification, etc., and achieve the effect of wide application scenarios, high accuracy and efficiency

Inactive Publication Date: 2019-11-15
效生软件科技(上海)有限公司
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, using this method of relying on the background sound for secondary verification not only increases the complexity of user verification, but also cannot directly determine whether there is a recording, and the user's background sound may change significantly from the previous second to the next second , resulting in failure to recognize

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
  • Method for detecting human voice or machine sound through voiceprint engine to perform identity verification
  • Method for detecting human voice or machine sound through voiceprint engine to perform identity verification
  • Method for detecting human voice or machine sound through voiceprint engine to perform identity verification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0046] Embodiment 2, on the basis of Embodiment 1, the method of SVM classification recognition is to carry out the optimal classification surface of noise extracted in the voiceprint model database with the long-term feature parameters of the extracted audio to be verified according to the SVM classification function. classification identification.

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 a method for detecting a human voice or a machine sound through a voiceprint engine to perform identity verification. The method comprises the following steps: A, receiving anaudio to be verified; B, preprocessing received audio information, wherein the preprocessing comprises the following steps: a) time length detection; b) silence detection; c) pre-emphasis; and d) framing and windowing; and C, carrying out voiceprint comparison, thereby judging identity information. According to the method, the human voice or the machine sound is detected through the voiceprint engine to carry out the identity verification. The voiceprint engine is capable of efficiently, rapidly and accurately identifying whether the detected sound is expressed by a speaker in real time or a recorded sound played by an audio player, and judging whether the sound is from a detected person or not, so that an application scene of voiceprint identification has higher accuracy and efficiency; and therefore, the method has a wide application prospect.

Description

technical field [0001] The invention relates to the technical field of identity recognition, in particular to a method for identity verification by detecting human voice or machine voice through a voiceprint engine. Background technique [0002] The theoretical basis of voiceprint recognition is that each voice has unique characteristics, so that the voices of different people can be effectively distinguished. This unique feature mainly includes two aspects: 1. The size of the vocal cavity; specifically, it includes the throat, nasal cavity and oral cavity. The shape, size and position of these organs determine the tension of the vocal cords and the range of sound frequencies. Therefore, although different people speak the same words, the frequency distribution of the voice is different, and some sounds low and some are loud. Everyone's vocal cavity is different, just like fingerprints, everyone's voice has unique characteristics. 2. The way the vocal organs are manipulate...

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): G10L17/00G10L25/03G10L25/45G10L25/78
CPCG10L17/00G10L25/03G10L25/45G10L25/78G10L2025/783
Inventor 任超钟亚希陈志骏
Owner 效生软件科技(上海)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