At the end of the paper they tantalisingly open the door to the possibility that there might exist a glass which would allow Guinness to settle more quickly. If such a glass were discovered, Irish barmen (well, all barmen really) would be able to pull pints more quickly. This means that fewer barmen would be required to man a bar so barmen would lose their jobs, increasing unemployment and probably plunging the country (perhaps the world) further into recession.
Risky research.
Usually people write their work up and publish it after the research is done, or when it's reached a milestone of some kind. The date of publication might give an indication of when the reported research was finished but not how long it took to carry out.
This work seems to have been published (i.e. placed in the public domain) some time ago. I'm wondering why it's only appearing on slashdot now.
I think the problem of encoding the analog signal as midi data is pretty much solved for the guitar. I've found the terratec axon guitar->midi system great in terms of accuracy and latency between striking the note and hearing the MIDI sound. It (supposedly) uses a neural net to learn the sounds your pick makes hitting the different strings when depressed at different frets. These sounds are slightly different from each other, so it can tell from the attack alone (no waiting for complete cycles of the fundamental) what note you are playing.
I
The MPEG community uses a MUSHRA test* to judge the quality of new codecs and to decide on bitrates etc. If there are n-codecs under test than the subject can switch A-B style between n+2 different versions of the same piece of music. These are the n-codecs and a reference or lossless version. He does not know which is which. He can also switch to one which he knows is the reference track (so the reference track is in there twice, labelled in one case and not labelled in the other). The task is to rate (0-100) each of the unknown tracks based on how similar it is to the reference track. One important thing to remember about the task is that the subject must rate similarity, rather than 'quality' or anything else. A certain codec could, for instance, add a load of warm bass to a piece of music making it more pleasurable (maybe) to listen to, but decreasing its similarity to the reference piece. The idea is that the subject should be able to pick the reference track from the unknowns (giving it a score of 100) and then rate all of the other unknowns in terms of similarity to the reference. The codec with the highest score wins. This type of test would be carried out for each of a number of pieces of music, with a lot of listeners.
* sorry, I've no good link- it's in ITU-R BS.1534-1 "Method for the subjective assessment of intermediate quality level of coding systems".
Slashdot Mirror
At the end of the paper they tantalisingly open the door to the possibility that there might exist a glass which would allow Guinness to settle more quickly. If such a glass were discovered, Irish barmen (well, all barmen really) would be able to pull pints more quickly. This means that fewer barmen would be required to man a bar so barmen would lose their jobs, increasing unemployment and probably plunging the country (perhaps the world) further into recession. Risky research.
Usually people write their work up and publish it after the research is done, or when it's reached a milestone of some kind. The date of publication might give an indication of when the reported research was finished but not how long it took to carry out. This work seems to have been published (i.e. placed in the public domain) some time ago. I'm wondering why it's only appearing on slashdot now.
The clinical trial and abstract are from 2008 and the pdf is of a paper published in 2005... this is 2010.
But does it tell you that YOU ROCK! if you get most of the notes right?
I think the problem of encoding the analog signal as midi data is pretty much solved for the guitar. I've found the terratec axon guitar->midi system great in terms of accuracy and latency between striking the note and hearing the MIDI sound. It (supposedly) uses a neural net to learn the sounds your pick makes hitting the different strings when depressed at different frets. These sounds are slightly different from each other, so it can tell from the attack alone (no waiting for complete cycles of the fundamental) what note you are playing. I
So would apple be allowed bundle OS X with its computers, under this proposal?
And published in Nature! Hayashi, K. and Munakata, N., Basically Musical, Nature 310:12, pp. 96 (1984).
The MPEG community uses a MUSHRA test* to judge the quality of new codecs and to decide on bitrates etc. If there are n-codecs under test than the subject can switch A-B style between n+2 different versions of the same piece of music. These are the n-codecs and a reference or lossless version. He does not know which is which. He can also switch to one which he knows is the reference track (so the reference track is in there twice, labelled in one case and not labelled in the other). The task is to rate (0-100) each of the unknown tracks based on how similar it is to the reference track. One important thing to remember about the task is that the subject must rate similarity, rather than 'quality' or anything else. A certain codec could, for instance, add a load of warm bass to a piece of music making it more pleasurable (maybe) to listen to, but decreasing its similarity to the reference piece. The idea is that the subject should be able to pick the reference track from the unknowns (giving it a score of 100) and then rate all of the other unknowns in terms of similarity to the reference. The codec with the highest score wins. This type of test would be carried out for each of a number of pieces of music, with a lot of listeners.
* sorry, I've no good link- it's in ITU-R BS.1534-1 "Method for the subjective assessment of intermediate quality level of coding systems".