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Voiceprint recognition method, device and equipment and computer readable storage medium

A voiceprint recognition and voiceprint technology, applied in speech analysis, instruments, etc., can solve the problem of low accuracy of speech recognition

Pending Publication Date: 2019-07-23
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a voiceprint recognition method, device, device and computer-readable storage medium, aiming to solve the technical problem of low voice recognition accuracy in the prior art

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  • Voiceprint recognition method, device and equipment and computer readable storage medium
  • Voiceprint recognition method, device and equipment and computer readable storage medium
  • Voiceprint recognition method, device and equipment and computer readable storage medium

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Embodiment Construction

[0104] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0105] refer to figure 1 , figure 1 It is a schematic diagram of the hardware structure of the voiceprint recognition processing device involved in the solution of the embodiment of the present invention. In the embodiment of the present invention, the voiceprint recognition device may include a processor 1001 (such as a CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize the connection and communication between these components; the user interface 1003 can include a display screen (Display), an input unit such as a keyboard (Keyboard); the network interface 1004 can optionally include a standard wired interface and a wireless interface (such as WI-FI interface); the memory 1005 can be a high-speed RAM me...

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Abstract

The invention discloses a voiceprint recognition method, device and equipment and a computer readable storage medium. The voiceprint recognition method comprises the steps that to-be-recognized verification speech is acquired; a GMM-UB model is used for extracting a first voiceprint feature of the verification speech, and a neural network model is used for extracting a second voiceprint feature ofthe verification speech; feature fusion is carried out on the first voiceprint feature and second voiceprint feature of the verification speech to obtain a fusion voiceprint feature vector of the verification speech; the similarity between the fusion voiceprint feature vector of the verification speech and a voiceprint feature vector of each registered user in a preset registered voiceprint database is calculated; based on the similarity, a voiceprint recognition result of the verification speech is determined. The two models are used for performing feature extraction and speech verificationon the verification speech, compared with a single model performing feature extraction and speech verification on the verification speech, and the features extracted from the two models contain more comprehensive information, so that the accuracy rate of voiceprint recognition is improved.

Description

technical field [0001] The present invention relates to the technical field of voiceprint recognition, in particular to a voiceprint recognition method, equipment, device and a computer-readable storage medium. Background technique [0002] The voiceprint recognition system is a system that automatically identifies the identity of the speaker according to the characteristics of the human voice. The fingerprint recognition technology is a kind of biometric verification technology, that is, the identity of the speaker is verified by voice. This technology has the characteristics of good convenience, stability, measurability, security, etc. It is usually used in banking, social security, public security, smart home, mobile payment and other fields. [0003] The current voiceprint recognition system is generally based on the Gaussian Mixture Model-Universal Background Model (GMM-UBM) proposed in the 1990s, which is simple, flexible and robust. However, with the development of t...

Claims

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Application Information

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IPC IPC(8): G10L17/02G10L25/03G10L25/24G10L25/30G10L25/45
CPCG10L17/02G10L25/03G10L25/24G10L25/30G10L25/45
Inventor 徐凌智王健宗
Owner PING AN TECH (SHENZHEN) CO LTD
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