Dual-mode voice identity recognition method

A technology of identity recognition and speech, applied in speech recognition, speech analysis, instruments, etc., to achieve the effect of increasing practical value, improving stability, and overcoming misjudgment

Inactive Publication Date: 2014-05-14
西安远声电子科技有限公司
View PDF5 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the uncertainty of speech signals and the imitability of human voice, it is difficult for a recognition system based solely on speaker characteristics to maintain good robustness in practical applications.

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
  • Dual-mode voice identity recognition method
  • Dual-mode voice identity recognition method
  • Dual-mode voice identity recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The invention discloses a dual-mode voice identity recognition method, which is applied to an identity recognition system including a sound collection device and an information processing device. The identification is integrated into an identification system, which improves the stability of the identification system identified by a single speaker's voiceprint feature, increases the practical value of this type of system, and improves the security of the identification system.

[0027] see figure 1 It is the general flowchart of this invention.

[0028] Step 101, the user speaks an input voice to the voice collection device, and the collection device collects the input voice;

[0029] Step 102, the information processing device performs signal preprocessing on the input voice;

[0030] Step 103, performing endpoint detection on the pre-processed signal;

[0031] Step 104, further extracting features of the signal, the features include password features and voiceprint ...

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 dual-mode voice identity recognition method which is applied to an identity recognition system comprising a sound acquisition device and an information processing device. The system also comprises a voice password feature library and a vocal print feature library. Password recognition and vocal print recognition are integrated in one identity recognition system. The technical effects of the dual-mode voice identity recognition method are that: the invention provides the dual-mode voice identity recognition method based on isolated word recognition, i.e. password recognition, and speaker recognition, i.e. vocal print recognition so that stability of a distinguishing system performing vocal print feature recognition of single speaker is greatly enhanced, practical value of similar systems is increased and security of the recognition system is enhanced under the premise of not increasing calculation amount. With dual judgment, a defect of mis-judgment of a speaker recognition system caused by simulation can be overcome to some extent, and the effect that passwords of a single voice password distinguishing system are liable to be leaked can also be overcome.

Description

technical field [0001] The invention relates to speech recognition technology, in particular to a dual-mode speech identity recognition method. Background technique [0002] Speaker recognition refers to the use of machine algorithms to extract unique feature information from a speech signal, thereby identifying the identity of the speaker. This technology is mainly used for voice-based identity confirmation, voice interception, court evidence identification, etc. Speaker recognition methods mainly include vector quantization (VQ), support vector machine (SVM), Gaussian mixture model (GMM) and so on. Among them, VQ and its improved algorithm are relatively simple and have good performance, and have been widely used in speaker recognition. [0003] At present, the identity confirmation technology based on speaker recognition has begun to be applied to the intelligent access control system. However, due to the uncertainty of speech signals and the imitability of human voice...

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): G10L15/02G10L15/06G10L17/02G10L17/04G10L17/08
Inventor 曾向阳邓刚王志刚
Owner 西安远声电子科技有限公司
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