Digital Diggin
- Thread starter Holly Scott
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Beat This!The next Beat This! Competition is from November 27-28th!
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O
open mind
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technicaly it should cause it has more bits and bytes u feel me ? example an mp3 has 5mb
after converting it it has 50mb.
imagine a HOE with silicon breasts then after a month she put bigger silicon breasts then its better feeling to your hands cause its bigger but its STILL silicon u feel me? HA!
the silicon is your mp3 the bigger silicon is your mp3 converted into wav and the hand is your ear in that case ok?
AHHAAHAHAH
after converting it it has 50mb.
imagine a HOE with silicon breasts then after a month she put bigger silicon breasts then its better feeling to your hands cause its bigger but its STILL silicon u feel me? HA!
the silicon is your mp3 the bigger silicon is your mp3 converted into wav and the hand is your ear in that case ok?
AHHAAHAHAH
Sanova
Guess Who's Back
ill o.g.
Battle Points: 9
nah, wav is just uncompressed.. its raw.. thats why its so big.. an mp3 is compressed. so turning it into a wav is gonna make it an uncompressed version of the same sound..
like if a fat chick (uncompressed) got lipo (compressed) she would lose some of her original qualities (excess skin, fat, more cushion for the pushin). but if she fucked around and got fat again, shed be big in size (like 50mb) but shed just be a bigger version of her compressed self... she wouldnt be her original fat self.
1
like if a fat chick (uncompressed) got lipo (compressed) she would lose some of her original qualities (excess skin, fat, more cushion for the pushin). but if she fucked around and got fat again, shed be big in size (like 50mb) but shed just be a bigger version of her compressed self... she wouldnt be her original fat self.
1
KurtisRich said:
that end part of the what you were saying about vinyls having rare stuff and the whole thing of everyone getting the same samples is exactly the reason i think digital digging is NOT the new age method of digging, it's for people who can't afford a turntable and some vinyl
aaaand i was gonna make a triple post haha but ill just edit this one,
sanova is right bigrob, no matter if you convert an mp3 to wav, there is NO WAY to get those lost qualities back, if there was, then there would be no way to get the file that small, it's smaller for a reason, because certain data was stripped from the wav when compressing to an mp3, and the only thing converting to a wav is gonna do is what nova said about ensuring that it won't lost any MORE quality
O
open mind
Guest
uncompressed means there are NOT missing any parts.compressed means there are missing parts.
compressed:some freqences that mostly cant be heard from natural ear where cut to make the file smaller.
uncomprees converted into RAW wave:the missing freqences where added back by a special process so the file has more freq.and could be find BETTER from your ear.
peace.
compressed:some freqences that mostly cant be heard from natural ear where cut to make the file smaller.
uncomprees converted into RAW wave:the missing freqences where added back by a special process so the file has more freq.and could be find BETTER from your ear.
peace.
Formant024
Digital Smokerings
ill o.g.
slsk is the shit
bigrob said:
yeah, but bigrob, when you change a mp3 to a wav, you are not uncompressing it, you are converting it, "uncompress" does not really exist as a verb, it is an adjective describing the audio before you compress it, you cannot really uncompress, the closest thing i can think to that would be extracting something like a rar or a zip file. compressing is destructive, and once you do the damage, it cannot be undone to that specific file once it is saved like that
O
open mind
Guest
Lossy compression
Lossy audio compression is used in an extremely wide range of applications. In addition to the direct applications (mp3 players or computers), digitally compressed audio streams are used in most video DVDs; digital television; streaming media on the internet; satellite and cable radio; and increasingly in terrestrial radio broadcasts. Lossy compression typically achieves far greater compression than lossless compression (data of 5-20% of the original stream, rather than 50-60%), by simplifying the complexities of the data. Given that bandwidth and storage are always limited, the trade-off of reduced audio quality is clearly outweighed for some applications where users wish to transmit or store more information. (For example, one can fit a lot more songs on their iPod using lossy than using lossless compression; and a DVD might hold several audio tracks using lossy compression in the space needed for one lossless audio track.)
In both lossy and lossless compression, information redundancy is reduced, using methods such as coding, pattern recognition and linear prediction to reduce the amount of information used to describe the data. For example, suppose you wanted to record twenty house numbers along one side of a street, each of which goes up by 2. If the first address was 14461, or five digits, the uncompressed stream would require 20 times 5 bytes, or 100 bytes, to store. You could recode that to take advantage of the repetition and simply say begin at 14461, increase by 2, repeat 19 times. Now the data are losslessly captured in just 8 bytes!
The innovation of lossy audio compression was to use psychoacoustics to recognize that not all data in an audio stream can be perceived by the human auditory system. Most lossy compression reduces perceptual redundancy by first identifying sounds which are considered perceptually irrelevant, that is, sounds that are very hard to hear. Typical examples include high frequencies, or sounds that occur at the same time as other louder sounds. Those sounds are coded with decreased accuracy or not coded at all.
While removing or reducing these 'unhearable' sounds may account for a small percentage of bits saved in lossy compression, the real savings comes from a complementary phenomenon - noise shaping. Reducing the amount of bits used to code a signal increases the amount of noise in that signal. In psychoacoustics based lossy compression, the real key is to 'hide' the noise generated by the bit savings in areas of the audio stream that cannot be perceived. This is done by, for instance, using very small amounts of bits to code the high frequencies of most signals - not because the signal has little high frequency information (though this is also often true as well), but rather because the human ear can only perceive very loud signals in this region, so that softer (noise) sounds 'hidden' there simply aren't heard.
To illustrate this by continuing with the example, suppose the data were more complex, so the difference between two house numbers was 4 in one instance, between the tenth and eleventh houses. Lossless coding would require something like this: begin at 14461, increase by 2, repeat 9 times, increase by 4, increase by 2, repeat 8 times. So 10, rather than 8 bytes, are needed to store the data. But if your model of lossy compression determines that difference was not relevant for the application, it might simplify the data to ignore the variation and increase the compression. However, some data are lost in the process, because the original data cannot be reconstructed from the lossy compression scheme; only an approximation of that data, determined to be sufficient for this application, can be recovered.
If reducing perceptual redundancy does not achieve sufficient compression for a particular application, it may require further lossy compression with a difference in quality that can be more readily perceived by a user. Most lossy compression schemes allow compression parameters to be adjusted to achieve a target rate of data, usually expressed as a bit rate. Again, the data reduction will be guided by some model of how important the sound is as perceived by the human ear, with the goal of efficiency and optimized quality for the target data rate. (There are many different models used for this perceptual analysis, some better suited to different types of audio than others.) Hence, depending on the bandwidth and storage requirements, the use of lossy compression may result in a perceived reduction of the audio quality that ranges from none to severe. Of course, that trade-off is usually intentional.
Because data are removed during lossy compression and cannot be recovered by decompression, some people may not prefer lossy compression for archival storage. Hence, as noted, even those who use lossy compression (for portable audio applications, for example) may wish to keep a losslessly compressed archive for other applications. In addition, the technology of compression continues to advance, and achieving a state-of-the-art lossy compression would require one to begin again with the lossless, original audio data and compress with the new lossy codec. The nature of lossy compression (for both audio and images) results in increasing degradation of quality if data are decompressed, then recompressed using lossy compression.
Lossy audio compression is used in an extremely wide range of applications. In addition to the direct applications (mp3 players or computers), digitally compressed audio streams are used in most video DVDs; digital television; streaming media on the internet; satellite and cable radio; and increasingly in terrestrial radio broadcasts. Lossy compression typically achieves far greater compression than lossless compression (data of 5-20% of the original stream, rather than 50-60%), by simplifying the complexities of the data. Given that bandwidth and storage are always limited, the trade-off of reduced audio quality is clearly outweighed for some applications where users wish to transmit or store more information. (For example, one can fit a lot more songs on their iPod using lossy than using lossless compression; and a DVD might hold several audio tracks using lossy compression in the space needed for one lossless audio track.)
In both lossy and lossless compression, information redundancy is reduced, using methods such as coding, pattern recognition and linear prediction to reduce the amount of information used to describe the data. For example, suppose you wanted to record twenty house numbers along one side of a street, each of which goes up by 2. If the first address was 14461, or five digits, the uncompressed stream would require 20 times 5 bytes, or 100 bytes, to store. You could recode that to take advantage of the repetition and simply say begin at 14461, increase by 2, repeat 19 times. Now the data are losslessly captured in just 8 bytes!
The innovation of lossy audio compression was to use psychoacoustics to recognize that not all data in an audio stream can be perceived by the human auditory system. Most lossy compression reduces perceptual redundancy by first identifying sounds which are considered perceptually irrelevant, that is, sounds that are very hard to hear. Typical examples include high frequencies, or sounds that occur at the same time as other louder sounds. Those sounds are coded with decreased accuracy or not coded at all.
While removing or reducing these 'unhearable' sounds may account for a small percentage of bits saved in lossy compression, the real savings comes from a complementary phenomenon - noise shaping. Reducing the amount of bits used to code a signal increases the amount of noise in that signal. In psychoacoustics based lossy compression, the real key is to 'hide' the noise generated by the bit savings in areas of the audio stream that cannot be perceived. This is done by, for instance, using very small amounts of bits to code the high frequencies of most signals - not because the signal has little high frequency information (though this is also often true as well), but rather because the human ear can only perceive very loud signals in this region, so that softer (noise) sounds 'hidden' there simply aren't heard.
To illustrate this by continuing with the example, suppose the data were more complex, so the difference between two house numbers was 4 in one instance, between the tenth and eleventh houses. Lossless coding would require something like this: begin at 14461, increase by 2, repeat 9 times, increase by 4, increase by 2, repeat 8 times. So 10, rather than 8 bytes, are needed to store the data. But if your model of lossy compression determines that difference was not relevant for the application, it might simplify the data to ignore the variation and increase the compression. However, some data are lost in the process, because the original data cannot be reconstructed from the lossy compression scheme; only an approximation of that data, determined to be sufficient for this application, can be recovered.
If reducing perceptual redundancy does not achieve sufficient compression for a particular application, it may require further lossy compression with a difference in quality that can be more readily perceived by a user. Most lossy compression schemes allow compression parameters to be adjusted to achieve a target rate of data, usually expressed as a bit rate. Again, the data reduction will be guided by some model of how important the sound is as perceived by the human ear, with the goal of efficiency and optimized quality for the target data rate. (There are many different models used for this perceptual analysis, some better suited to different types of audio than others.) Hence, depending on the bandwidth and storage requirements, the use of lossy compression may result in a perceived reduction of the audio quality that ranges from none to severe. Of course, that trade-off is usually intentional.
Because data are removed during lossy compression and cannot be recovered by decompression, some people may not prefer lossy compression for archival storage. Hence, as noted, even those who use lossy compression (for portable audio applications, for example) may wish to keep a losslessly compressed archive for other applications. In addition, the technology of compression continues to advance, and achieving a state-of-the-art lossy compression would require one to begin again with the lossless, original audio data and compress with the new lossy codec. The nature of lossy compression (for both audio and images) results in increasing degradation of quality if data are decompressed, then recompressed using lossy compression.
O
open mind
Guest
yes u won a free live on stage pass to perform the great LAFFY TAFFY song on your local karaoke bar.Sanova said:
Formant024
Digital Smokerings
ill o.g.
bigrob said:
who cares about playback applications, an mp3 encoder will chop a file, more chops means better audio UNDER compression but its still degrading the quality. The segments it will chop arent that much audible in mid and low frequency ranges but you tell whether an audio fragment is a mp3 by listening in the high frequencies where its far more appearant.
Lazy Eyes
The Beat Konduktah
ill o.g.
Battle Points: 7
bigrob said:
Big Rob ur so wrong.. u can't get the frequencies back because they're not IN the MP3 file anymore.. if u want the best quality get that same song on CD or Vinyl but u can't upgrade the soundquality and add new frequencies.. u can only clean it up... with effects..
But what u say can't be done..
Wav to MP3 >>>> loss of info
then MP3 to wav..... same info only bigger file.. but the quality is the same..
1
O
open mind
Guest
ok so u are saying that when i convert an mp3 to wav its just got bigger by MAGIC? what do you think where added? air?Lazy Eyes said:
PLZ THINK ABOUT IT!
an converted mp3 into wav is better qualy than just mp3 whatever u are saying.its a fact. by converting the mp3 into wave there been added frequencies by an algorithm from the existing frequencies.if u dont understand than i really cant help you.and your ear thinks it sounds better and its better qualy because it has a wider freqency range and infact IT IS BETTER than mp3.
PEACE
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