Tag: audio equalizer python

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Volume equalizer – mp3 louder

Equalize the volume of mp3, mp4 or any other audio or video file, in the main formats.

That is something that Mp4Gain offers and that it achieves with the best quality, because it is without a doubt the best audio normalizer in the world.

Anyone who has a fair amount of sound or video files has noticed that there is an unevenness in the volume level. Which is annoying to play them one after the other. Well, the difference between some of them is too noticeable, perhaps it sounds lower in volume or perhaps it sounds very loud.

The reasons why this happens and why we find these differences are many. Perhaps the most obvious is because they have been encoded (converted) by some amateur user, who chose the settings (bit rate, sample rate, etc) without knowing what he was doing… and it also turns out that we have a mixture of different bit rates, for example, in all our mp3.

Mp4Gain can not only standardize the bit rate, for example, but it analyzes the audio frame by frame (more than 40 thousand times per second) and finds the precise levels so that they have the same decibel level, which you can choose or let Mp4Gain does it automatically.

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Volume equalizer, how does it work?

Many people ask us how an mp3, mp4, etc. They save so much space.

First of all there is obviously the zip type compression. That is, those algorithms that reduce the space basically seeking to eliminate the redundancy of symbols. That is, if in a row you find: 11111110000000 what you do is put 7-1,7-0 implying that there are 7 times a one and 7 times a zero. You save space by describing what you write when you have repetitive characters.

This is just a very simplified example.

But there is also another compression that is based on knowing how the human ear works. We already know that there are low and high frequencies that the human ear does not perceive, so everything that is outside the hearing range of the human ear can be ruled out.

There is also masking, which implies that if two similar frequencies sound almost simultaneously, one of them at a higher volume, it will mask the second, that is, we will not hear the second, so it can be discarded.

It is obvious that all these processes cause information to be discarded and that can damage the quality, but in general, if it is done correctly, the human ear, even the trained one, cannot perceive the difference.

Thousands of tests have been done making people, including musicians, listen to high bitrate mp3s and listen to a WAV and it has been verified that they cannot tell the difference.