Digital voice print identification system and validation and identification method

Abstract

The invention discloses a digital voice print identification system. The system comprises a plurality of collectors; a voice print processor which is connected with a plurality of collectors; a voice print database which is connected with the voice print processor; and a comparing and adjusting engine which is connected with the voice print database. The invention further provides a validation method of forensic identity, and the method comprise the following steps: performing voice print processing on live recording to obtain a first voice print characteristic; obtaining second voice print data; computing the data to obtain a validation model library; comparing and storing a first difference in the voice print database; and determining the similarity of the first difference and a second difference. The invention further provides an identification method of the forensic identity. The method comprises the following steps: processing the data to obtain a third voice print data; compiling an identification model library according the identity information in the live recording; comparing the sampled voice print characteristic of a suspect with the identification model library and recording the first difference; comparing the third voice print difference with the identification model library to obtain the second difference; and performing similarity ordering on the first difference and the second difference to output an identification result.

Description

technical field [0001] The invention relates to the field of human body biometric identity identification, in particular to a digital voiceprint identification system and confirmation and identification method for criminal identity identification. Background technique [0002] Human biological characteristics include DNA, fingerprints, irises, omentum, palms, and voiceprints. Among them, the application of DNA and fingerprints in various industries is becoming more and more mature, especially in criminal forensics using DNA and fingerprints for suspect identification. But the work of collecting DNA and fingerprints to build a DNA and fingerprint database is very complicated, and it is more difficult to obtain DNA and fingerprints at a crime scene than it is to sound. [0003] At present, automatic speech recognition technology, automatic speech confirmation technology, automatic speaker identification technology, speech spectrogram technology, and speech spectrum analysis t...

AI Technical Summary

Problems solved by technology

However, such a scheme basically cannot be applied to criminal forensics, because the accuracy of speech spectrum analysis is not enough. This kind of spectrum analysis mainly depends on the work experience of the analyst, so different analysts can obtain completely different analysis results for the same speech trace. Therefore, it is not suitable for criminal forensics

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