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dreamsfly
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It's a tech.,and it is said that that had been done by MIT,then anybody know the details?
dimensionless said:I think what your looking for is "blind source separation." You can search for it, or check the paragraph Wikipedia has on it. Basically there are two sources of sound and they are recorded with two microphones. Everything else, such as location of the source, is unknown. In blind source separation one source is isolated from the other.
pallidin said:Ok, I don't know how MIT did it, but the concept is fairly simple:
Take a metal rod of some arbitrary dimension, and weld "tunning forks" of different reasonant responses to the rod(the tunning rods are separated from each other, of course)
Applying an "accoustical noise" to one end of the rod will cause the varied frequencies to be "expressed" through the tunning forks, which will effect a non-perfect "filtering"
Ok, that's a gross example, but illustrates frequency separation through the application of reasonant-response materials
pallidin said:Ok, I don't know how MIT did it, but the concept is fairly simple:
Take a metal rod of some arbitrary dimension, and weld "tunning forks" of different reasonant responses to the rod(the tunning rods are separated from each other, of course)
Applying an "accoustical noise" to one end of the rod will cause the varied frequencies to be "expressed" through the tunning forks, which will effect a non-perfect "filtering"
Ok, that's a gross example, but illustrates frequency separation through the application of reasonant-response materials
-Job- said:I don't know how "simple" the task is. If we are adding the two waves together, then some ambiguity is generated. For example, if we add 2 and 8 to obtain 10, from 10 we can't determine if the original addends were 1 and 9, 2 and 8, 3 and 7, 4 and 6, or 5 and 5. With waves, we are adding a sequence of numbers, each following a pattern, into a single sequence. By analyzing the composed sequence we can approximate the original waves, but it might well still be ambiguous. This task would be much easier if the waves had prime values and we were multiplying rather than adding.
In any case it seems that there would be scenarios where the composed wave might not offer enough information to determine the parent waves, making the task impossible, not to mention time-intensive, from a computer perspective. Too much noise.
dreamsfly said:Assume they are not recorded separately,there's only a sound-background,just kick out a certain sound,which can be used in mobilephone:Although you speak in publical place with loud noise,but the listener can only hear your voive,that's the aim.
Sound waves travel by vibrating particles in a medium, such as air or water, which creates a disturbance that travels through the medium as a wave.
High pitch sound waves have a higher frequency, meaning they vibrate at a faster rate, while low pitch sound waves have a lower frequency and vibrate at a slower rate.
Sound waves can be separated using a process called sound separation or filtering. This involves using a device, such as a sound equalizer, that can isolate and amplify certain frequencies while reducing others.
There are several types of sound separation techniques, including filtering, equalization, and spectrum analysis. Filtering involves using a physical barrier or device to block or amplify certain frequencies. Equalization involves adjusting the levels of different frequencies to achieve a desired sound. Spectrum analysis involves breaking down the sound wave into its individual frequencies and manipulating them separately.
No, it is not possible to completely separate sound waves. Even with advanced sound separation techniques, there will always be some overlap between frequencies. However, it is possible to significantly reduce the presence of unwanted frequencies and isolate desired ones.