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　　Professional audio intelligent system knowledge

　　Friends who are engaged in audio systems will encounter problems with system debugging and equipment utilization. For a set of professional audio system to produce good results, it is necessary to go through the system debugging link. The sound system debugging is mainly to check the operating status of the equipment of the system, level matching, sound pressure level setting, system frequency response, compressor start control point, delay, response button adjustment and a lot of operations, and Most of the tasks during this period are cumbersome and require the person in charge of debugging to have the corresponding skills and experience, otherwise it will be difficult to complete.

　　Is there such a device that can proactively set relevant parameters intelligently according to the on-site conditions, and easily handle system debugging? Once we dared not ask for such a luxury, now we can boldly propose and wait for this kind of intelligent professional audio equipment in advance Universal use.

　　In fact, artificial intelligence has already been used in many areas, among which the most sensational is the active driving of cars and intelligent robots, and sometimes intelligent machines can defeat the human brain, such as the famous "deep blue" computer defeating chess masters. , Has been talked about by people.

　　Today’s audio equipment has long abandoned the imitating circuit and digital circuit skills. The large-scale integrated circuit technology makes it easy to implant the CPU into the device. And this kind of microcomputer-like chip implantation will undoubtedly not only improve the equipment’s performance. This kind of inductive function, while making audio equipment smarter is no longer so remote.

　　But the question is, do the developers of our audio industry have such awareness. For now, most of the equipment in the audio industry of professional audio companies is very low in intelligence. Most of them are still at the level of equipment. Networking and informationization seem to be just beginning, let alone intelligent, let alone automation. , In fact, it is only called in the form of data without intelligence. Nevertheless, such devices are pitiful, and so-called application scenarios are also pitiful. This makes a large number of audio system debugging and application tasks that only a few talents can complete, and it also severely limits the function of a large number of advanced professional audio equipment in large theaters and performing arts venues and the use of high-frequency and high-level applications.

　　It is necessary to point out that the development of intelligent machines has also gone through a detour. In the past, most intelligent machines were theoretically stored in the machine by the developers of practical applications, and then the application practice at the time was compared with Compare the scenes in the memory to find a similar or suitable form to start. Facts have proved that this kind of thinking quickly entered a dead end in the development of intelligent machines. On the one hand, it is difficult to end the application scenarios in practice, and no amount of storage forms can satisfy the application of practice; on the other hand, this exhaustive thinking cannot give full play to the advantages of computers—numerical calculations. . Therefore, the development of intelligent machines can only go another way, which is to continuously use the data collected by various sensors, compare with the benchmark data, adjust the output (action), and then calculate and compare the data collected by the sensor with the benchmark data, thereby correcting. Output (action), this process is very fast, enough to complete a reverberant action similar to the human brain. Computing and discriminating are the strengths of computers, and this has enabled machine intelligence to break out of a dead end and have a bright future.

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