Voiceprint recognition, a type of biometric technology, also known as speaker recognition, is a technique for discriminating the identity of a speaker by sound. The so-called voiceprint is a sound wave spectrum that carries speech information displayed by an electroacoustic instrument. The generation of human language is a complex physiological and physical process between the human language center and the vocal organs. The vocal organs used by people in speech--tongue, teeth, throat, lungs, and nasal cavity vary greatly in size and shape. , so the soundprints of any two people are different. Each person's speech acoustic characteristics are both relatively stable and variability, and are not static. This variation can come from physiology, pathology, psychology, simulation, camouflage, and also related to environmental disturbances. However, since each person's vocal organs are different, in general, people can still distinguish the voices of different people or judge whether they are the same person's voice.
Why do people value voiceprint recognition?
There are three main research directions in artificial intelligence: visual recognition, intelligent speech, and natural language processing NLP. Among them, in the field of speech recognition, voiceprint recognition belongs to the relatively blue ocean market, and the solution is mainly the problem of “I am meâ€, which is applied in the security verification scenario. In the voice-to-text track, the effect of each family may tend to be 0.1%, 0.2%. In order to avoid homogenization competition, many companies choose to cut from "soundprint recognition."
The advantages of voiceprint recognition relative to other biometrics are mainly reflected in the following points: First, non-contact recognition, which is more convenient than fingerprint recognition; second, it reduces privacy risks, compared to face recognition, society The public's resistance to voiceprint recognition is greatly reduced, and voiceprint recognition can be performed in a random way. Thirdly, the recognition cost of acquiring voice is low. Compared with face recognition and fingerprint recognition, voiceprint recognition requires only a microphone. Collect.
Public voice and financial field prefer voiceprint recognition technology
There are two types of voiceprint recognition technology, namely speaker recognition and speaker confirmation. Different voiceprint recognition techniques are used for different tasks and applications. Techniques may need to be identified when narrowing the scope of criminal investigation, while technology is required for bank transactions.
On October 9, 2018, the People's Bank of China officially released the financial industry standard for Mobile Finance's Safety Application Technology Specification based on Voiceprint Recognition, which means that voiceprint recognition technology has been recognized by the financial regulatory authorities. This also solves the standard problem for voiceprint recognition technology to enter the mobile finance field.
Compared with speech recognition technology, the application field of voiceprint recognition is more professional and subdivided. Not only in the financial sector, but also in the fields of public security and justice, the identity of voiceprint appraisers needs to be used. In China, as early as the end of the 1980s, the Department of Cultural Reconnaissance of the Chinese Criminal Police College and the Physical Identification Center of the Ministry of Public Security successively introduced relevant instruments and equipment and established soundprint identification laboratories, and further established the research on voiceprint identification research. In the group, research work on voiceprint identification technology was carried out. Up to now, with the joint efforts of public security organs all over the country, the unique characteristics and laws of the Chinese language have been summarized, and a set of scientific identification and screening methods has been summarized. Voiceprint recognition has become the identity of the public security field. One of the main means.
Conclusion
It can be seen from the situation in recent years that voiceprint recognition is “low-key†compared to biometrics such as fingerprint recognition and face recognition, but market demand does exist and market sentiment also has an upward trend.
At the same time, the voiceprint recognition technology has been developed relatively mature, the recognition accuracy is relatively high, the application range is relatively wide, and the recognition technology level is relatively mature. Due to its economical and operability advantages, it will be in more fields in the future. Medium, get a wider range of applications. Voiceprint recognition or an important means of improving security solutions in the future will be rapidly commercialized and the prospects are very broad.
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