What is the working principle of voiceprint lock? What is the principle of voiceprint recognition technology? Voiceprint locks are also emerging as smart door locks. The use of voiceprint recognition technology for unlocking, unlocking in the door lock has been applied. Voiceprint locks and fingerprint locks have the same meaning. Different from fingerprint locks based on fingerprint recognition technology, voiceprint locks are technical recognition of sounds. This paper will explain the technical principles of voiceprint lock recognition.
The voiceprint lock applies voiceprint recognition to the access control system to realize the myth of opening the door to legendary sesame seeds. Voiceprint lock is based on voiceprint identification technology and is a specific application of voiceprint identification technology. Allegedly, the use of voiceprint locks in Japan and other countries has become more common. They apply voiceprint locks indoors to achieve basic privacy protection.
Speech biometric recognition, also known as speaker recognition, commonly known as voiceprint recognition, is a biometric method that automatically recognizes the speaker's identity based on the speaker's phonological physiology and behavioral characteristics. The security provided by voiceprint recognition can be compared with other biometric technologies (such as: fingerprints, palms, and irises), and the voice acquisition device is inexpensive, requiring only a phone/mobile phone or a microphone, without special equipment; it Has nothing to do with the language of speech, has nothing to do with the tone of the dialect, does not involve privacy issues, to adapt to a wide range of people; sound signals to facilitate remote transmission and access, in the telecommunications and network based identification applications, voiceprint recognition is more good at, unique.
Similar to human fingerprints and DNA, voiceprints are unique personal biological characteristics of the human body. It is difficult to find two people whose voiceprints are exactly the same.
Voiceprint recognition, a biometric technology. Also known as speaker recognition, there are two types, speaker recognition and speaker verification. Different tasks and applications may use different voiceprint identification techniques. For example, when narrowing the scope of criminal investigation, it may be necessary to identify the technology, and in banking transactions, it is necessary to confirm the technology. Voiceprint recognition is the conversion of acoustic signals into electrical signals that are then recognized by computers.
The so-called voiceprint (Voiceprint) is the acoustic spectrum of speech information that is displayed by electroacoustic instruments. The generation of human language is a complex physiological and physical process between the body's language center and the vocal organ. The vocal organs used by people for speech—the tongue, teeth, throat, lungs, and nasal cavity—are very different in size and form. , so any two people have different voiceprint patterns.
Each person's speech acoustics features both relative stability and variability, which are not absolute and immutable. This variation can come from physiology, pathology, psychology, simulation, disguise, and also related to environmental disturbances. In spite of this, since everyone has different vocal organs, people can still distinguish between different people's voices or judge whether they are the same person's voice.
Voiceprint Recognition (VPR), also known as Speaker Recognition, has two types, namely Speaker Identification and Speaker Verification. The former is used to determine which of a number of voices is said to be a “multiple choice one†question; the latter is used to confirm whether a certain segment of speech is what a specified person says, “one to one discrimination. "problem. Different tasks and applications may use different voiceprint identification techniques. For example, when narrowing the scope of criminal investigation, it may be necessary to identify the technology, and in banking transactions, it is necessary to confirm the technology. Whether it is identification or confirmation, the speaker's voiceprint needs to be modeled first. This is the so-called "training" or "learning" process.
The main tasks of voiceprint recognition include voice signal processing, voiceprint feature extraction, voiceprint modeling, voiceprint comparison, decision making, and so on.
Voiceprint recognition can be said to have two key issues, one is feature extraction, and the other is pattern matching (pattern recognition).
The biggest challenge in the application of voiceprint locks is that when the environment under the application is noisy, it will seriously affect the recognition effect. Therefore, whether or not environmental noise can be handled has become an important criterion for testing the maturity of voiceprint locks.
In recent years, several domestic companies have started or research institutes started commercial promotion in this area. As some technical bottlenecks have not yet been broken, the actual promotion results are not optimistic.
The voiceprint recognition is still a relatively advanced technology in the domestic scope, so the application based on voiceprint recognition technology is even less.
Smart Lock China Network Xiao Biao reminded that the application of voiceprint recognition in the access control system is not mature, but it is also a research direction of smart lock.
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