Voiceprint recognition method and device

Abstract

The invention is applicable to the technical field of identity authentication, and provides a voiceprint recognition method and device. The method comprises the steps of preprocessing input voices toobtain a valid voice in each voice; extracting MFCC acoustic features of each voice and outputting first and second feature matrices including the MFCC dimension and the voice framing number; constructing a short- and long-time recurrent neural network model, and taking the first feature matrix as the input; training feature extraction matrices by using training parameters of the neural network model and speaker characteristics of the voices, each feature extraction matrix corresponding to a speaker model; and selecting the speaker model matching the second feature matrix, with the speaker output corresponding to the matched speaker model as a voiceprint recognition result. The method and device in the invention adopt a supervised learning method to train a voiceprint background model andcan excavate more suitable acoustic features from the training voices so as to be able to distinguish the difference characteristics of speakers more accurately and learn a more robust speaker model for a better voiceprint recognition result.

Description

technical field [0001] The invention belongs to the technical field of identity authentication, and in particular relates to a voiceprint recognition method and device. Background technique [0002] Voiceprint recognition, also known as speaker recognition, is used to determine which of several people said a certain voice or to confirm whether a certain voice was spoken by a specified person. The speech parameters of the speaker's physiological and behavioral characteristics, and the technology of automatically identifying the speaker's identity. At present, voiceprint recognition is widely used in the Internet, banking systems, public security and justice and other fields. A voiceprint is a sound wave spectrum that carries speech information displayed by an electroacoustic instrument. Each person's speech acoustic features are both relatively stable and variable, not absolute or immutable. This variation can come from physiology, pathology, psychology, simulation, camouf...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a voiceprint recognition method and device to solve the problem that it is difficult to accurately identify the different characteristics of speakers in the existing technology, resulting in a low accuracy rate of voiceprint recognition

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