The sound potential depends on technology. If we talk about sounds that can prevent theft, I am afraid that many of my friends will jokingly say: Yeah, shouting a bitch can scare off a thief, of course, but if you say it in silence, you can Anti-thief, then you also know how to prevent it? In our impression, anticipation of anti-theft devices against thieves, expecting video systems to catch thieves, and even relying on big wolves to scare people are now very common. But when it comes to anticipation of thieves, I am afraid that those who know Not so much. Maybe some people will think, is it not using voice recognition? Well, today, we take a closer look at this device that uses sound to prevent thieves and where it is sacred.
Sound can also be used as security?
We all know that no matter how close blood relationships are, the sound characteristics of different people are also different. Although they may have only slight differences, they can still be captured and calculated by clever computers. The voice recognition equipment we are going to introduce is based on this feature to carry out security work.
Speaking of pickup equipment, it is actually a mysterious and simple thing. Its mystery is that in our daily life, we rarely see such security tools around us, but the simple point is if we When working principles are introduced, most of us will suddenly realize its simplicity. For the working process of audio identification equipment, we can generally be divided into five steps: income, extraction, processing, contrast recognition, and output.
First, the device collects the surrounding sound through the microphone, and the feature parameter extraction unit retrieves the acoustic information that can express the sound information. Later, the computer previously set a large acoustic model for processing. Make the data information form the same format as the voiceprint pattern stored in the database. Then, in use, compare the newly acquired sound with the original sound, and finally output the structure. Its working principle and the fingerprint attendance machine we now commonly use. Still very similar. However, such a simple work process has brought us a new realization mode of safety and security.
Voice recognition features and applications for voice recognition technology do not require excessive contact and authentication of the inter-entity interaction modes. Therefore, it is undoubtedly more convenient to use than to identify technologies. In the configuration process, most of the current IT products have already installed sound cards and microphones. Therefore, it can also save more costs in its architecture. In addition, for the use of the environment, because there is no need for higher requirements on the angle of the surveillance equipment, the use environment of the voice recognition system will undoubtedly be more casual and hidden. These are the more unique advantages of speech recognition systems compared to other security facilities.
Therefore, for the application of speech recognition system, whether it is ordinary non-governmental exchanges or more professional legal evidence, it is time for it to show its talents. Compared with its application in the private sector, it is obviously more prominent in the field of security management as a security system.
If you talk about the most well-known application of speech recognition, I am afraid that the United States is also the case of the United States in the fight against bin Laden and Saddam Hussein. In the environment where intelligence and intelligence are mixed together, both Bin Laden and Saddam have to dedicate their voices, and the US intelligence agencies formally adopt this method of voice recognition. The information was divided into one by one, so that effective information was learned, and the thoughts of the attack were sorted out. Even the recognition of the voice could make a general judgment on the physical condition of the target person. It can be said that the opponent's provocation has been transformed into information sent to the door.
For the domestic security applications in China, today's security departments are also more involved in the introduction of this technology to combat criminal activities. For example, in dealing with some phone tracking, telephone interception of illegal transactions, and so on. There is a shadow of speech recognition. With the further improvement of speech recognition technology and the continuous improvement of the accuracy of information, some court trials have now adopted speech recognition as evidence. It can be said that his help to us is gradually being relied on from a temporary reference.
In addition to security applications, the identification of some identities in our daily lives is also using a speech recognition model. Nowadays, many banks have adopted the voice recognition mode to control the safe, or in some remote services, they also use the voice recognition mode to locate the customer's identity. In addition, as an important part of intelligent technology, voice recognition also has a creative effect on smart home systems. Although this new model will be popular within a short period of time, there will be no small resistance either in terms of technology or philosophy. However, in the long run, the emergence of this technology and the popularization of civilian use will definitely play an important role in protecting the full range of personal information in the future.
Difficulties in the development of speech recognition remain elusive. Although the application of speech recognition in people's lives has become more mature. However, as a biological identification technology, the variability of biological characteristics is still the biggest dilemma that hampers the development of speech recognition. Previously, we once introduced face recognition technology in the face of embarrassment change. Voice recognition also faces such problems. Just think, if the person has changed his voice due to a cold or other reasons, he will make some errors in the judgment of the sound, or increase the difficulty of judgment. If the problem is serious, its biggest advantage will become the biggest inconvenience of speech recognition.
In addition, because the identification system needs to extract and compare the sound information it receives, it puts forward a more arduous requirement for the whole system. What it needs is not only the improvement of the data, but also the improvement of processing capabilities. At the same time, it is a very big test for the accessibility of the database. Once any one of these links fails to work, the correct rate of the entire system work will also occur. A lot of deviations, therefore, this is definitely an application technology that requires comprehensive development.
Of course, compared with other biometric technologies, speech recognition still belongs to the absolute "newcomer". Perfect technology is only a development goal for speech recognition technology. For speech recognition, it also needs more time to grow, to test, to slowly "ground gas." And after spending this "confused" phase, speech recognition will definitely allow us to gain more.
Sound can also be used as security?
We all know that no matter how close blood relationships are, the sound characteristics of different people are also different. Although they may have only slight differences, they can still be captured and calculated by clever computers. The voice recognition equipment we are going to introduce is based on this feature to carry out security work.
Speaking of pickup equipment, it is actually a mysterious and simple thing. Its mystery is that in our daily life, we rarely see such security tools around us, but the simple point is if we When working principles are introduced, most of us will suddenly realize its simplicity. For the working process of audio identification equipment, we can generally be divided into five steps: income, extraction, processing, contrast recognition, and output.
First, the device collects the surrounding sound through the microphone, and the feature parameter extraction unit retrieves the acoustic information that can express the sound information. Later, the computer previously set a large acoustic model for processing. Make the data information form the same format as the voiceprint pattern stored in the database. Then, in use, compare the newly acquired sound with the original sound, and finally output the structure. Its working principle and the fingerprint attendance machine we now commonly use. Still very similar. However, such a simple work process has brought us a new realization mode of safety and security.
Voice recognition features and applications for voice recognition technology do not require excessive contact and authentication of the inter-entity interaction modes. Therefore, it is undoubtedly more convenient to use than to identify technologies. In the configuration process, most of the current IT products have already installed sound cards and microphones. Therefore, it can also save more costs in its architecture. In addition, for the use of the environment, because there is no need for higher requirements on the angle of the surveillance equipment, the use environment of the voice recognition system will undoubtedly be more casual and hidden. These are the more unique advantages of speech recognition systems compared to other security facilities.
Therefore, for the application of speech recognition system, whether it is ordinary non-governmental exchanges or more professional legal evidence, it is time for it to show its talents. Compared with its application in the private sector, it is obviously more prominent in the field of security management as a security system.
If you talk about the most well-known application of speech recognition, I am afraid that the United States is also the case of the United States in the fight against bin Laden and Saddam Hussein. In the environment where intelligence and intelligence are mixed together, both Bin Laden and Saddam have to dedicate their voices, and the US intelligence agencies formally adopt this method of voice recognition. The information was divided into one by one, so that effective information was learned, and the thoughts of the attack were sorted out. Even the recognition of the voice could make a general judgment on the physical condition of the target person. It can be said that the opponent's provocation has been transformed into information sent to the door.
For the domestic security applications in China, today's security departments are also more involved in the introduction of this technology to combat criminal activities. For example, in dealing with some phone tracking, telephone interception of illegal transactions, and so on. There is a shadow of speech recognition. With the further improvement of speech recognition technology and the continuous improvement of the accuracy of information, some court trials have now adopted speech recognition as evidence. It can be said that his help to us is gradually being relied on from a temporary reference.
In addition to security applications, the identification of some identities in our daily lives is also using a speech recognition model. Nowadays, many banks have adopted the voice recognition mode to control the safe, or in some remote services, they also use the voice recognition mode to locate the customer's identity. In addition, as an important part of intelligent technology, voice recognition also has a creative effect on smart home systems. Although this new model will be popular within a short period of time, there will be no small resistance either in terms of technology or philosophy. However, in the long run, the emergence of this technology and the popularization of civilian use will definitely play an important role in protecting the full range of personal information in the future.
Difficulties in the development of speech recognition remain elusive. Although the application of speech recognition in people's lives has become more mature. However, as a biological identification technology, the variability of biological characteristics is still the biggest dilemma that hampers the development of speech recognition. Previously, we once introduced face recognition technology in the face of embarrassment change. Voice recognition also faces such problems. Just think, if the person has changed his voice due to a cold or other reasons, he will make some errors in the judgment of the sound, or increase the difficulty of judgment. If the problem is serious, its biggest advantage will become the biggest inconvenience of speech recognition.
In addition, because the identification system needs to extract and compare the sound information it receives, it puts forward a more arduous requirement for the whole system. What it needs is not only the improvement of the data, but also the improvement of processing capabilities. At the same time, it is a very big test for the accessibility of the database. Once any one of these links fails to work, the correct rate of the entire system work will also occur. A lot of deviations, therefore, this is definitely an application technology that requires comprehensive development.
Of course, compared with other biometric technologies, speech recognition still belongs to the absolute "newcomer". Perfect technology is only a development goal for speech recognition technology. For speech recognition, it also needs more time to grow, to test, to slowly "ground gas." And after spending this "confused" phase, speech recognition will definitely allow us to gain more.
Release Date:2012/4/18 8:58:13
Before talking about perilla seed oil, let`s talk about perilla first. Many people don`t know what perilla is when they mention it. If I mention another name, I think everyone will know it - perilla, which everyone usually likes. Wrap the barbecued meat with perilla leaves and eat it. It is refreshing and relieves greasiness, and it also has the unique fragrance of perilla. There are many names for perilla, and each region has its own name: white perilla, red perilla, red perilla, fragrant perilla, etc. This is a plant that matures in one year and is used in medicine, health products and food. It has a wide range of uses. Perilla was one of the first batch of 60 plants announced by the former Ministry of Health as both food and medicine. Perilla began to be eaten by everyone as early as more than 2,000 years ago, and it is recorded in "Compendium of Materia Medica" and "Qi Min Yao Shu".
Perilla seed oil is obtained by pressing perilla seeds, and the oil content of perilla seeds is about 30~40%. According to the data measured by the Testing Center of Northwest A&F University, the composition and content of perilla seeds are: fat 45.03%, protein 21.05%, crude fiber 19.74%, non-nitrogen substances 9.65%, and ash 4.53%. It has the highest fat content. Among the fatty acids in perilla seed oil, the a-linolenic acid content reaches 61.2%, linoleic acid is 9.4%, oleic acid is 21%, and the unsaturated fatty acid content is 91.6%. The highest a-linolenic acid content among the 55 plants containing a-linolenic acid (>30%), its perilla content ranks among the best.
Jilin Hongda Trading Co., Ltd , https://www.jlxytruckpart.com