Unlock instant, AI-driven research and patent intelligence for your innovation.

Voiceprint identification method

A voiceprint recognition and voice feature technology, applied in voice recognition, voice analysis, instruments, etc., can solve the problems of large amount of model data, limited algorithm use, high computational complexity, etc., to save storage resources, small amount of feature data, The effect of small amount of calculation

Inactive Publication Date: 2012-08-01
SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But there are several problems: (1) more learning samples are needed
(2) High computational complexity
(3) The amount of model data obtained is large
For embedded systems with limited resources, the above problems limit the use of algorithms

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
  • Voiceprint identification method
  • Voiceprint identification method
  • Voiceprint identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The preferred embodiments of the present invention are described in detail below, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0023] See attached Figure 5 , a voiceprint recognition method, comprising the steps of:

[0024] 1) See attached figure 1 , the speech feature space establishment step, the speech of different backgrounds and different human voices is divided into 20ms as a frame, the 10ms frame is shifted to take out the speech frame (speech segment), the silence is removed in units of frames, and the cepstral transformation is performed on the speech frame, There are 12 coefficients left in each frame, and the 12 coefficients constitute speech feature points. The speech feature points of all speech segments form a speech feature point set, that is, a speech feature space.

[0025] 2) See attached figure...

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 voiceprint identification method which comprises the following steps of: 1) carrying out characteristic conversion on a plurality of voices to obtain characteristic points which form a voice characteristic space; 2) dividing the characteristic space into a plurality of subspaces, numbering the subspaces respectively, and recording space serial numbers and data description; 3) carrying out characteristic conversion on a trained voice to obtain a time sequence characteristic point set, wherein each characteristic point obtains a corresponding space serial number according to a nearest neighbor principle, and converting a segment of voice into a string of digital sequence; 4) obtaining a digital sequence of a test voice through characteristic conversion; 5) comparing a training voice characteristic and a test voice characteristic. According to the invention, the disadvantages of the prior art are solved, and the voiceprint identification method with small amount of calculation, high identification rate, and small data quantity is provided.

Description

technical field [0001] The invention relates to the field of voiceprint recognition. Background technique [0002] Speaker recognition, like fingerprints, iris, face recognition, etc., is a type of biometrics and is considered to be the most natural way of biometric identification, also known as "voiceprint" recognition. Speaker recognition has the advantages of simple acquisition equipment, low system price, and easy acceptance by people. In access control systems, safes, personal equipment (cars, computers, mobile phones, PDAs, etc.) Voice can realize the learning and testing process, which has outstanding application advantages. [0003] The basic process of speaker recognition is speech acquisition, feature extraction, and classification model. The common speech feature extraction method is to use the short-term stationary characteristics of speech, and use the cepstrum transform (MFCC) method to convert the speech into a set of speech feature points. After that, the...

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): G10L15/02G10L15/04G10L15/06G10L17/00G10L17/02G10L17/04
Inventor 吴丽丽
Owner SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI