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Joint Stereo Encoding in MP3


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Joint Stereo Encoding in MP3

Joint Stereo Encoding in MP3

Let’s talk about Joint Stereo Encoding in MP3

When we talk about MP3 encoding, joint stereo is one of the most fascinating and efficient techniques used to compress audio files. As someone who’s been working with audio compression for years, I can confidently say that joint stereo plays a pivotal role in optimizing sound quality while reducing file size. This is crucial, especially when you’re dealing with a large collection of music or audio files on your device. For example, think about the way your smartphone stores your favorite playlists. Without joint stereo encoding, those files would take up more space without offering any noticeable improvement in quality.

In essence, joint stereo is a method where the stereo channels (left and right) in a song are not treated as entirely separate entities but are combined in such a way that only the differences between the two are stored. This is like packing the same amount of information into a smaller suitcase without losing any of the essential items. Joint stereo encoding does this by reducing redundancy between the left and right channels, resulting in smaller files with nearly identical sound quality.

It’s important to note that joint stereo encoding is not the same as regular stereo. While regular stereo encoding treats each channel independently, joint stereo takes advantage of the similarities between the two channels to save space. The result is a more efficient encoding process that doesn’t compromise the listener’s experience.

The Mechanics of Joint Stereo Encoding

When we dive deeper into how joint stereo encoding works, it helps to visualize how stereo sound is created. Typically, stereo sound involves two channels: one for the left ear and one for the right ear. However, in many audio tracks, the left and right channels are not radically different from each other. They may have similar instruments, vocals, or background sounds.

What joint stereo encoding does is compare these two channels and only store the parts that differ between them. For the common parts, the encoder only needs to store the data once. This is similar to how two almost identical pictures could be compressed by saving just one of them and recording only the differences for the second one. The result? A significant reduction in file size without a noticeable drop in audio quality.

The Process of Joint Stereo Encoding

  • The encoder analyzes both channels to find similarities and differences.
  • Similar parts of the channels are encoded as a single signal.
  • The differences between the channels are encoded separately, reducing the file size.
  • When decoding, the differences are applied to the common signal, restoring the stereo effect.

By compressing the audio this way, joint stereo encoding ensures that the stereo effect is preserved while minimizing the data needed for storage. This is a significant advantage when you’re trying to fit hundreds or even thousands of songs on a portable device with limited storage capacity.

Types of Joint Stereo Encoding: Mid/Side and Intensity Stereo

There are different types of joint stereo encoding methods that are used depending on the audio track and desired compression level. The two primary types you’ll encounter are Mid/Side (M/S) stereo and Intensity stereo. Both methods offer unique advantages, and understanding these differences is key to choosing the right encoding approach.

Mid/Side Stereo

  • In Mid/Side stereo encoding, the audio is split into two components: the “mid” (center) and the “side” (difference between left and right).
  • The “mid” signal contains information that is common between the left and right channels, while the “side” signal holds the differences.
  • This technique is effective for music that has a strong center sound, like vocals or bass, while allowing the side information to be compressed efficiently.

In my experience, Mid/Side stereo is particularly useful for music with a lot of central elements, like pop or rock tracks where vocals are mixed at the center. By compressing the side channels, the file size shrinks while maintaining clarity in the center of the mix.

Intensity Stereo

  • Intensity stereo encoding focuses on adjusting the volume of the stereo channels based on the perceived loudness of sounds.
  • It reduces the stereo effect for quiet sounds and increases it for louder sounds.
  • This method can save space without compromising the quality of louder parts of the track.

For instance, if you have a song where the guitar solo is prominent, intensity stereo encoding may maintain a full stereo effect for the solo, but reduce the stereo spread during quieter passages, like a soft vocal section. This type of encoding is particularly effective for genres like classical or ambient music, where the dynamic range varies widely throughout the track.

The Advantages of Joint Stereo Encoding

When it comes to audio compression, joint stereo encoding provides several key benefits. I’ve seen firsthand how it allows for more efficient storage without sacrificing the quality that listeners expect from high-quality MP3 files.

Efficient Use of Storage

  • Joint stereo encoding reduces file size significantly by exploiting redundancies between the two channels.
  • This is especially beneficial for users with limited storage space, such as on smartphones or portable music players.
  • Even when file size is reduced, the audio quality remains almost identical to that of traditional stereo encoding.

For example, when I compress a collection of high-quality MP3s for a long road trip, I rely heavily on joint stereo encoding to maximize my storage space. With joint stereo, I’m able to fit hundreds of tracks on my device without having to worry about sound quality degradation.

Sound Quality Preservation

  • Joint stereo encoding preserves the overall sound quality by focusing on the differences between the stereo channels.
  • In contrast to mono encoding, joint stereo ensures that listeners still experience a rich, dynamic soundstage.
  • Most importantly, the compression doesn’t affect the stereo effect that’s essential to enjoying a full, immersive listening experience.

As someone who frequently listens to music on headphones, the stereo effect is crucial to me. I find that even with joint stereo encoding, the balance between left and right channels remains intact, providing an enjoyable experience. It’s remarkable how the technology allows for compression without affecting the auditory experience.

Considerations for Using Joint Stereo Encoding

While joint stereo encoding offers clear benefits, it’s not always the best option for every type of audio. In some situations, particularly with high-fidelity audio or tracks that require precise stereo separation, other encoding methods might be preferable.

High-Fidelity Audio

  • For audiophiles or those with high-end audio equipment, joint stereo encoding may not always be sufficient.
  • The reduced separation between left and right channels can result in a less distinct stereo image.
  • In such cases, lossless encoding or regular stereo encoding might be more suitable to maintain optimal sound quality.

For example, when I listen to classical music or jazz with a wide stereo image, I often opt for uncompressed or higher bit-rate stereo encoding to preserve the detailed spatial arrangement of instruments. Joint stereo, while efficient, may compromise some of the subtle nuances in these genres.

Low-Bitrate Audio

  • At lower bitrates, joint stereo encoding can still provide excellent results in terms of file size reduction without a major loss in quality.
  • However, the compression artifacts may become more noticeable at bitrates lower than 128 kbps.
  • In these situations, a higher bitrate or alternative encoding techniques may be needed to preserve audio fidelity.

If you’re encoding audio for streaming or casual listening, lower bitrates with joint stereo encoding might be a good balance. But when I’m encoding for professional use or high-quality playback, I prefer to use higher bitrates to ensure that the audio remains as close to the original as possible.

Latest Words on Joint Stereo Encoding in MP3

Joint stereo encoding has transformed the way we experience and store audio, offering a balance between quality and compression. Whether you’re a casual listener, a music enthusiast, or a professional audio engineer, understanding the benefits and limitations of joint stereo encoding is crucial for making informed decisions about how you encode and manage your audio files.

With its ability to optimize space and preserve sound quality, joint stereo encoding is one of the most valuable tools in audio compression. As I’ve demonstrated in this article, it’s an essential technique for anyone looking to maximize storage and maintain an excellent listening experience, especially for music that doesn’t rely heavily on complex stereo separation.

While it’s not a one-size-fits-all solution, joint stereo encoding offers significant advantages in most scenarios, particularly for everyday music listening. However, for those with more specialized needs, other encoding methods may be worth exploring. In all cases, it’s important to consider your specific requirements and select the encoding technique that best meets them.

When it comes to MP3 encoding, joint stereo is one of the most effective ways to achieve high-quality audio at a smaller file size, and it remains a staple of audio compression today.

Frequently Asked Questions about Joint Stereo Encoding in MP3

What is Joint Stereo Encoding in MP3?

Joint stereo encoding in MP3 is a compression technique that reduces file size while preserving sound quality. It works by encoding the similarities between the left and right audio channels as a single signal, while only storing the differences separately. This method allows for more efficient use of space without sacrificing the stereo effect, making it ideal for music and audio tracks with similar left and right channels.

How does Joint Stereo Encoding work?

Joint stereo encoding works by analyzing both the left and right channels of audio to identify the parts that are similar. The encoder then stores the common information only once, and the differences between the two channels are encoded separately. When decoding, the differences are applied to the common signal, restoring the full stereo effect for the listener.

What are the different types of Joint Stereo Encoding?

There are two main types of joint stereo encoding: Mid/Side stereo and Intensity stereo. In Mid/Side encoding, the audio is split into a central “mid” signal and a “side” signal that carries the differences between the left and right channels. Intensity stereo adjusts the stereo effect based on the perceived loudness of the audio, reducing the stereo separation for quieter sounds and enhancing it for louder ones.

What are the advantages of using Joint Stereo Encoding?

Joint stereo encoding offers several benefits, including reduced file sizes while maintaining high audio quality. It is especially useful for portable devices with limited storage, as it maximizes space without sacrificing the stereo effect. Joint stereo ensures that audio files retain their immersive listening experience, even at lower bitrates.

Can Joint Stereo Encoding affect audio quality?

At most bitrates, joint stereo encoding does not significantly affect audio quality. However, at lower bitrates, compression artifacts may become noticeable, especially in tracks with complex stereo separation. For high-fidelity audio or genres requiring precise stereo positioning, lossless encoding or standard stereo encoding might be a better option.

Is Joint Stereo Encoding suitable for all types of music?

Joint stereo encoding is highly effective for most types of music, especially tracks where the left and right channels share significant similarities, such as pop, rock, and electronic music. However, for genres like classical or ambient music, where a wide stereo image is essential, other encoding methods or higher bitrates might be preferable to preserve the full stereo effect.

What is the best bitrate for Joint Stereo Encoding?

For most listeners, a bitrate of 128 kbps to 192 kbps is sufficient when using joint stereo encoding. At these bitrates, the file sizes are reduced significantly, while the sound quality remains good. For higher-quality audio, especially in genres where detailed stereo separation is important, higher bitrates such as 256 kbps or 320 kbps are recommended.

How does Joint Stereo Encoding compare to Mono or Stereo Encoding?

Mono encoding combines the left and right channels into a single channel, drastically reducing file size but at the cost of losing the stereo effect. Regular stereo encoding treats both channels independently, resulting in larger file sizes compared to joint stereo. Joint stereo encoding strikes a balance, maintaining a full stereo experience while reducing file size by exploiting the similarities between the two channels.

Comments:

This article really opened my eyes to how joint stereo encoding works. I’ve been using MP3s for years, but I never really understood the technical side of it. Thanks for explaining everything so clearly! – Mike R.

I had no idea about Mid/Side stereo until I read this! It sounds like a great way to compress audio without losing quality. I might try it next time I’m encoding music. – Sarah J.

It’s amazing how joint stereo can save so much space without compromising sound quality. I’ve always used stereo encoding, but now I’m going to give joint stereo a try. – Tom H.

I’ve always wondered why MP3 files are smaller but still sound good. This article explained it perfectly. – Dave L.

I’ve used joint stereo for a while now, but I didn’t realize how much it can impact sound quality at lower bitrates. This article definitely helped me understand it better. – Emily G.

I’ve been encoding a lot of audio for a podcast, and the tips on joint stereo were super helpful. I’m going to implement this on my next set of files. – John K.

Interesting read! I didn’t know that joint stereo could be problematic for audiophiles. I’m going to keep that in mind when working with high-quality audio. – Chris M.

This is one of the most detailed explanations of joint stereo I’ve read. Very helpful! – Jenna T.

Thanks for the insights! I’ve always been curious about how compression works, and now I understand joint stereo much better. – Mark F.

I never realized that the differences between the left and right channels could be compressed so efficiently. I’ll have to try joint stereo next time I encode something. – Alex B.

I appreciate the real-life examples you used. They made the technical details so much easier to understand. – Rick D.

I’ve been having issues with audio quality at low bitrates. This article really helped explain why that happens and how joint stereo can help. – Steve A.

I was always confused about the difference between stereo and joint stereo. This article cleared things up! – Olivia P.

Great breakdown of the different joint stereo types! I’m definitely going to experiment with Mid/Side encoding next time. – Greg W.


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Mp3 (an audio encoding method) Part 3

Mp3 (an audio encoding method) Part 3

MP3 ENCODING

To generate bit-compliant (Layer 1.Layer 2.Layer 3) MPEGAudio files, ISO MPEG Audio committee members developed reference simulation software in C called ISO 11172-5.

MP3 ENCODING

It can demonstrate the first real-time DSP-based hardware decoding of compressed audio on some non-real-time operating systems. Various other MPEG audio was developed in real time for digital broadcasting (DAB radio and DVB TV) for consumer receivers and set-top boxes.
Later on July 7, 1994, Fraunhofer-Gesellschaft released the first MP3 encoder called l3enc.
The Fraunhofer development team selected the .mp3 extension on July 14, 1995 (previously the extension was .bit). Using Winplay3 (released September 9, 1995), the first real-time software MP3 player, many people were able to encode and play MP3 files on their own personal computers. Since hard drives at the time were relatively small (such as 500MB), this technology was essential for storing entertainment music on computers.
MP2, MP3 and Internet
In October 1993, MP2 (MPEG-1 Audio Layer 2) files appeared on the Internet and were often played by Xing MPEG Audio Player and later MAPlay developed by Tobias Bading for Unix. MAPplay was first released on February 22, 1994 and ported to the Microsoft Windows platform.
The only MP2 encoder products at first were Xing Encoder and CDDA2WAV, a CD ripper that converts audio tracks from CDs to WAV format.
Often considered the father of the online music revolution, the Internet Underground Music Archive (IUMA) was the first hi-fi music site on the Internet, with thousands of licensed MP2 recordings before MP3 and the web became popular. .
From the first half of 1995 to the end of the 1990s, MP3 began to flourish on the Internet. MP3’s popularity is largely due to the success of companies and software packages such as Winamp released by Nullsoft in 1997 and Napster released by Napster in 1999, and they are mutually reinforcing. These programs make it easy for normal users to play, create, share and collect MP3 files.
The debate about sharing MP3 files between peers has spread rapidly in recent years, mainly because compression makes file sharing possible, uncompressed files are too large to share. Since MP3 files are widely spread over the Internet, Napster has been sued by some of the major record labels to protect their copyright (see Copyright).
Commercial online music distribution services, such as the iTunes Music Store, often choose other proprietary or DRM-enabled music file formats to control and limit the use of digital music. Formats that support DRM are used to protect copyrighted material from copyright infringement, but most protection mechanisms can be broken in some way. Computer experts can use these methods to generate unlocked files that can be freely copied. One notable exception is Microsoft’s Windows Media Audio 10 format, which has yet to be cracked. If a compressed audio file is desired, the recorded audio stream must be compressed and the sound quality will be degraded.
streaming audio quality
Because MP3 is a lossy compression format, it offers a variety of options for different “bit rates,” that is, the number of encoded data bits needed to represent the audio per second. Typical speeds are between 128 kbps and 320 kbps (kbit/s). In contrast, the uncompressed audio bitrate on a CD is 1411.2 kbps (16 bits/sample × 44100 samples/sec × 2 channels).
MP3 files encoded with lower bit rates generally play at a lower quality. If you use too low a bitrate, “compression artifact” (sounds not present in the original recording) will appear during playback. A good example of compression noise is the sound of compressed cheering; due to its randomness and sharp changes, encoder errors are more pronounced and sound like echoes.

Mp3 (an audio encoding method) Part 2

Mp3 (an audio encoding method) Part 2

mp3 3ncoding

MPEG-1 Audio Layer 2 encoding began as a digital audio broadcast (DAB) managed by Egon Meier-Engelen at the German Deutsche Forschungs- und Versuchsanstalt für Luft- und Raumfahrt (later known as Deutsches Zentrum für Luft- und Raumfahrt, German Space Center). )draft.

mp3 encoding

This project is funded by the European Union as a EUREKA research project, and its name is commonly known as EU-147. The study period for EU-147 was from 1987 to 1994.
2. By 1991, two proposals had emerged: Musicam (called Layer 2) and ASPEC (Adaptive Spectrum Sensing Entropy Coding). The Musicam method proposed by Philips of the Netherlands, CCETT of France, and the Institut für Rundfunktechnik of Germany was chosen due to its simplicity, error robustness, and lower computational effort in high-quality compression. The Musicam format based on subband coding is a key factor in determining the MPEG audio compression format (sample rate, frame structure, header, sample points per frame). This technology and its design philosophy are fully integrated into the definition of ISO MPEG Audio Layer I, II and later Layer III (MP3) formats. The standard was developed by Leon van de Kerkhof (Layer I) and Gerhard Stoll (Layer II) under the auspices of Prof. Mussmann (University of Hannover).
3. A working group consisting of Leon Van de Kerkhof from the Netherlands, Gerhard Stoll from Germany, Yves-François Dehery from France and Karlheinz Brandenburg from Germany absorbed design ideas from Musicam and ASPEC and added their own design ideas to develop an MP3. MP3 can achieve MP2 sound quality from 192 kbit/s to 128 kbit/s.
4. All of these algorithms eventually became part of the first group of MPEG standards, MPEG-1, in 1992, resulting in the international standard ISO/IEC 11172-3 published in 1993. Further work on MPEG audio was eventually became part of the MPEG-2 standard, a second group of MPEG standards developed in 1994, officially known as ISO/IEC 13818-3, first published in 1995.
5. The compression efficiency of the encoder is generally defined by the bit rate, because the compression rate depends on the number of bits (: in: bit depth) and the sampling rate of the input signal. However, there are often products that use CD parameters (44.1 kHz, two channels, 16 bits per channel, or 2×16 bits) as the compression ratio reference, and the compression ratio using this reference is usually higher, which which also shows that the compression ratio is very important for lossy compression problems.
6. Karlheinz Brandenburg used Suzanne Vega’s song Tom’s Diner on CD to test MP3 compression algorithms. This song is used because the song’s smooth and simple melody makes it easier to hear glitches in the compressed format during playback. Some jokingly refer to Suzanne Vega as “the mother of MP3”. Some more serious and critical audio extracts (glockenspiel, triangle, accordion…) from the EBU V3/SQAM reference CD are used by professional audio engineers to assess the subjective perceived quality of the MPEG audio format.

Mp3 (an audio encoding method)

Mp3 (an audio encoding method)

Mp3 encxoding

MP3 is an audio compression technology, its full name is Moving Picture Experts Group Audio Layer III, called MP3.

mp3 encoding

It is designed to drastically reduce the amount of audio data. Using MPEG Audio Layer 3 technology, music is compressed into a smaller capacity file with a compression ratio of 1:10 or even 1:12, and for most users, playback quality is not as good as the original uncompressed. audio Significant decrease. It was invented and standardized in 1991 by a group of engineers at the Fraunhofer-Gesellschaft research organization in Erlangen, Germany. Music stored in the form of MP3 is called MP3 music, and a machine that can play MP3 music is called an MP3 player.

Motion Picture Expert Compression Standard Audio Layer 3 foreign name Moving Picture Expert Group Audio Layer III research organization Fraunhofer-Gesellschaft type audio coding advantage Drastically reduce the amount of audio data defect sound quality loss
content
1 Features
2 story
▪ origin
▪ go to the masses
3 audio quality
4 patent issues
transmission characteristics
MP3 converts the time-domain waveform signal to a frequency-domain signal by taking advantage of the human ear’s insensitivity to high-frequency sound signals and splits it into multiple frequency bands, using different compression rates. for different frequency bands and increasing the compression ratio for high frequencies (even ignoring the signal) Use a small compression ratio for low frequency signals to ensure that the signal is not distorted. In this way, it is equivalent to discarding the high-frequency sound that is basically inaudible to the human ear [1], keeping only the audible low-frequency part, thus compressing the sound with a compression ratio of 1:10 or even 1: 12. Because the full name of this compression method is called MPEG Audio Player3, people call it MP3 for short.
According to the MPEG specification, AAC (Advanced Audio Coding) in MPEG-4 will be the next generation of the MP3 format.
Compared to CD, FLAC and APE lossless compression formats, the sound quality of the highest parameter MP3 (320 Kbps) is not much different.
MP3 players are dying
When they first came out, MP3 players were at the forefront of the digital revolution. However, sales of iPods and other MP3 players in the UK fell sharply in 2012 as consumers turned to other digital products such as smartphones.
In 2012, sales of MP3 players in the UK market were £110m ($178m), just 29% of the £381m in 2011, according to market research firm Mintel. Mintel expects total MP3 player sales in the UK market to halve by 2017. In the worst case scenario, total MP3 player sales in the UK market will be just 25 million dollars five years later. [23]
1. MP3 is a data compression format;
2. Discards pulse code modulation (PCM) audio data that is not important to the human ear (similar to JPEG is a lossy image compression), resulting in a much smaller file size;
3. MP3 audio can be compressed according to different bit rates, providing a variety of trade-offs between data size and sound quality. The MP3 format uses a mixed conversion mechanism to convert audio domain signals. time in frequency domain signals;
4. 32 band polyphase integral filter (PQF);
Modified discrete cosine filter (MDCT) of 5, 36 or 12 taps; each subband size can be independently selected between 0…1 and 2…31;
6. MP3 not only has extensive client software support, but also has a lot of hardware support, such as portable media players (referring to MP3 players), DVD and CD players, outgoing calls

ENCODING PRINCIPLES OF THE MP3 FORMAT.

ENCODING PRINCIPLES OF THE MP3 FORMAT.

Mp3 Encoding

Mp3, or fully MPEG-1, 2 and 2.5 Layer 3, is one of the most popular and widespread standards for storing audio data.

MP3 ENCODING

In this article, we will not delve into the history of creation and further development, but will consider the basic principles of the standard and examples of its implementation.

The mp3 standard does not establish a specific compression algorithm to “encode” the source data, but rather describes the essence of the possible methods.

The quality of the result obtained depends on the modification of the algorithm used, embedded in any encoding program of the “codec”, and on the quality of the original audio data.

There are 3 most common modifications of the mp3 format, which differ in the compression ratio parameters of the original audio data.

Name
Modification of the rule
Data rate per second (bit rate) Possible sample rates
MPEG-1 layer 3
32 – 320 kbps 32000 Hz
44100 Hz
48000 Hz
MPEG-2 Layer 3 16 – 160 kbps 16000 Hz
22050 Hz
24000 Hz
MPEG-2.5 Layer 3 8 – up to 160 kbps 8000 Hz
11025 Hz

Processing begins with dividing the original audio signal into equal time intervals: equal frames, for example 0.05 or 0.26 seconds, after which each frame is analyzed and compressed according to general or individual parameters based on the data of the previous and next frames.

Most of the compression algorithms used are based on the perceptual characteristics of the human ear. Let’s consider the main options, which, as a rule, are applied in a complex way.

It is worth starting with the fact that, by ear, the average person is capable of perceiving a frequency range of approximately 10 Hz to 20,000 Hz. With growth, changes occur in the hearing aid and, for most, the sensitivity the higher frequency range decreases, as a result of which, in some mp3 modifications, during compression, all frequencies above 16000 hertz are cut off, which can significantly reduce the amount of information.

Audio recordings can be encoded in stereo (a surround sound effect that uses separate channels for the left and right speakers) or mono (the opposite of stereo). In mp3 format, different tracks are not recorded for each of your speakers, but information about the differences between the left and right channels.

In acoustics, there is a concept like “harmonics”, these are the frequencies of the “sounds” that sound together with the main and most prominent tone. For example, when hitting a drum, the loudest sound will be the tone and the minor, weaker, will be the harmonics.

After such a loud sound, the so-called “period of deafness” occurs, during a period of duration in which a person’s hearing practically does not respond to changes.

If in the intervals of the “deafness period”, remove all frequencies, then the errors of perception, will practically not allow to notice their absence, because of this, during compression, the weakest harmonics are cut off, located close to the most sounds. strong: tones.

A method is used to replace the near peak values ​​of the signal “peaks” (in terms of volume) with an average value.

There is a concept as bit rate: this is a value that characterizes the number of transmitted bits of information “units” during a period of time, usually one second.
The higher the bit rate, the better the audio detail will be, as long as the original, uncompressed audio data is of high quality.

As you can guess, digital formats consist of certain code sequences, in other words of sequences 0 and 1.
To save space, frequent joins within a file are assigned unique identifiers that replace long sequences.

Thanks to such complex influences, it is possible to compress the original audio signal into one of the popular formats with loss of quality – the mp3 format.

Various experiments have been carried out many times in order to reveal how significant the differences are before and after compression in mp3. As tests have shown, differences, some similar moments were not always possible, quickly and to distinguish, even when reproduced on equipment with higher fidelity.

For those who have never had the opportunity to directly compare the original and compressed audio recording, in most cases it will take some time or even find obvious differences.

MP3 ENCODING

MP3 ENCODING

Mp3 encoding

The first step in encoding by the user is to specify a bit rate. This indicates the quality and at the same time the storage requirement of an MP3 file.

MP3 encoding

COMPRESSION RATES

With most recording programs, the quality of an MP3 file can be freely selected before recording begins. According to the Fraunhofer Institute, the CD quality of an MP3 file is a bit rate of 112 to 128 kbit per second, other measurements put CD quality at up to 160 kbit per second. However, the most used and sufficient for most listeners is 128 kbit.

In comparison, a corresponding CD quality for Layer 1 is 384 kbit / s and 256 kbit / s for Layer 2. A wave file works with a 1.4 Mbit / s bit rate and therefore works with roughly the same space requirements. as a CD audio track (CDA).

74 or 80 minutes of music can be put on a CD (depending on the size of the sound carrier), in MP3 format with a bit rate of 128 kbit / s, 11.5 or 12.4 hours would be possible.

PSYCHOACOUSTICS

MP3 audio compression relies on filtering out unnecessary information. Psychoacoustics is a science that deals with the perception of sound by the human ear.

Eg: You are in a disco. Loud music blasts through huge speakers and you try to talk to each other. This is almost impossible unless you yell. In acoustics, this is called masking. To eliminate masking, the sound level of speech should be raised to such an extent that the interfering signal (in this case music) no longer covers it.

Processes like this belong to the fundamental areas of psychoacoustics.

Tones below this threshold are not heard and therefore become noise during MP3 recording (skipped).

The overlays work as follows: you have, for example (picture 2) a tone with 1 kHz (1) and another tone with 1.1 kHz, which is approximately 18 dB lower (2). The second shade is completely superimposed on the first. This also works for other weaker tones (see Fig. 2). Another tone with a frequency of 2 kHz, which is also 18 dB quieter than the first, would not overlap because it is just outside the threshold of the first tone.

Noise can be another compression option for MP3 recording. The fact that when a sound is digitized it cannot be sampled at an infinite frequency, a noise imperceptible to the human ear (quantization noise) is generated. It is used as a model for the MPEG audio layer and thus increases the noise around a tone. Above all, loud and short tones mask a certain range in the frequency range before and after themselves where the weakest signals would not be audible. With MP3 encoding, the noise level increases in this area, as if digitized at a lower resolution.

There is also masking in the temporal area: hearing needs a so-called “recovery time” for loud and quiet noises until it is fully functional again. This is especially noticeable with strong, short, and rapidly rising tones. After a delay of about 5 ms, the hearing threshold drops again and after about 200 ms it reaches the normal level, the so-called resting hearing threshold. This effect is called post-masking. The effect of pre-masking is less important, but even more impressive: it is based on the fact that the brain processes loud sounds more quickly than soft ones. To some extent, the strong impulse outweighs the silent one on the way to the brain. This results in a pre-masking time of up to 20 ms.

The above psychoacoustic algorithm is used in the following steps:
– Audio information is divided into subbands
– Subbands are reduced
– 16-bit samples are generated
– Samples are compressed
– Compressed samples are combined into blocks
– Coding according to Huffmann Procedure
: summary in tables

DIVIDED INTO SUBBANDS

Depending on the frequency of the acoustic information, it is divided into 32 subbands. The bands are of different sizes due to adaptation to the human ear according to a psychoacoustic model.

The division is done with the help of a polyphase filter. This means that the samples are decimated and filtered simultaneously.

In layers 1 and 2, the bands were the same size with a bandwidth of 625 Hz each. The reason for this division is to provide the algorithm with a better target.

SUBBAND ​​REDUCTION

The MP3 encoder now examines each of the subbands according to the psychoacoustic model for expendable frequencies. Here, the masking threshold is determined, then the subbands whose level is below this masking function are removed. Another reason for dropping an entire sub-band could be that it is inaudible due to the pitch, similar to a dog’s whistle.

CONVERSION INTO 16-BIT SAMPLES

The frequency bands are sampled and converted to 16-bit samples. Tones are broken down into digital signals and further processed as numerical values. The sample rate determines the length of the sample intervals. However, neither the measurement of the amplitude nor the size of the sampling intervals can be infinitely precise. For this reason, with analog-digital conversion, a value is rounded between two sample points. This results in rounding errors that are noted in what is known as quantization noise. This can be kept inaudible using the highest possible resolution: with 8-bit, a maximum of 256 levels can be displayed, with 12-bit and 4096 and with 16-bit 65536 individual steps, so that noise is not heard.

However, some samples are also digitized with a lower sample rate. In the eighth subband, for example, there is a tone with 1 kHz and 60 dB. The MPEG audio encoder now calculates the masking threshold and recognizes that it is 36dB lower. The acceptable signal-to-noise ratio here is 24 dB, which corresponds to a 4-bit resolution, since the two values ​​are directly related. Leaving one bit out of resolution increases the noise level by 6dB. Since an audio CD is generally digitized with 16 bits, considerable data reduction can be applied here.

SAMPLE COMPRESSION

The next step is to compress the samples further. However, this process no longer has anything to do with the original shades. From here on, compression is only data-driven.

Each sample consists of 16 bits, but not all of them are absolutely necessary to represent a level. For example, leading zeros can be omitted. If, for example, the value 0000011101010101 is obtained for a sample, the algorithm truncates the result to 11101010101. To reconstruct the original 16 bits from this information, the decoder needs two pieces of information: the scale factor and the bit allocation. The scale factor indicates where the remaining bits of the sample were in their original state. The bit mapping contains the information about how many bits are left in the sample, since you can no longer calculate with a fixed 16-bit number. However, if you were to store these values ​​individually for each sample, you wouldn’t gain much,

GROUPING THE SAMPLES

The 16-bit samples that were just created are now combined into blocks. There are two different block lengths for this purpose: the short blocks with twelve samples and the long blocks with 36 samples.

Long blocks are used for low frequencies. However, long blocks would not allow sufficient resolution at higher frequencies; short blocks are used here. In the so-called mixed block mode, long blocks are used for the two frequency bands with the lowest frequencies. For the remaining 30 frequency bands, it is the turn of the short blocks. This mode allows better frequency resolution in the low frequencies without paying tribute to the sampling frequency in the high frequencies.

HUFFMANN CODING

The last step in MP3 compression is Huffmann encoding. This algorithm is also used, for example, in packaging programs such as WinZip. The frequency of certain values ​​is important here. However, the subbands are organized in advance. Subbands with lower frequencies tend to contain significantly more values ​​than those with high frequencies. The subbands are divided into three groups according to their frequency. Each area has its own Huffmann tree (Fig. 3) to achieve the optimal compression factor.

As a first step, the encoder excludes high frequencies; encoding is not necessary here, as its size can be derived from those of the other two regions. The mid-frequency range is treated as is, and the low frequencies are again divided into three regions, each of which is assigned its own Huffmann tree. The appearance of a Huffmann tree is stored in the MP3 file.

The structure of a Huffmann tree works as follows: frequently occurring values ​​are given a short sequence of bits, while rare values ​​are given a long one, so the algorithm first determines the distribution of values ​​within the data to be compressed.

To determine what is known as the Huffman tree, you start with the two rarest values. They are assigned a “0” or a “1”. The two values ​​are summarized, in the order that they are now represented by the sum of their frequency. The same is true for the next two rarer values. This process ends when only one value remains. The result of this procedure is a tree structure. The encoding is based on this structure. Each branch on the left receives a 0, each branch on the right is identified by a “1”. In our little example, the least common would be

Value 4 represented by the sequence of bits 010. The most common value 6, on the other hand, is assigned a simple 1.

FRAMEWORK SUMMARY

The result of the above compression is summarized in so-called frames. Each of these frames contains 1152 samples (32 subbands x 36 samples). A frame consists of a header, a checksum check, the actual audio data, and in certain circumstances a so-called bit repository. Such a deposit arises when the samples within the frame can be compressed in such a way that the full theoretical number of bits in a frame is not required. The encoder can fall back on these buckets if the available bits are insufficient for a subsequent frame. A distinction must be made between two terms: frame size and frame length.

The size of the frame is determined by the number of samples and is constant within a layer. In Layer 1 format, this is always 384 samples per frame, in Layers 2 and 3 1152 per frame. However, the length of the frame may differ at Layer 3 due to the change in bit rate or the pool of unfilled bits. The frame also contains the aforementioned information about the scale factor and bit allocation to be able to reconstruct all the samples again.

A file header, as it is known from other file formats, does not exist in an MP3 file. In the case of an image file, a header would contain information about the entire image (e.g. size, color depth, resolution

MP3 COMPRESSION

MP3 COMPRESSION

To achieve such a dramatic reduction in the number of bits required to transmit an MP audio signal, use different techniques. These techniques include those based on perceptual coding and others such as byte reservation, stereo assembly or Huffman codes. Percentage coding consists of removing all the information that goes into the audio signal that the human ear is not capable of detecting. We will now describe them:

PERCEPTUAL CODING

Minimum hearing threshold The ear’s minimum hearing threshold is the power below which a tone at a given frequency is not capable of being detected by the ear. This threshold is non-linear. As we see in the figure, which represents the Fletcher and Mundson law, the frequencies in which we hear best are those between 2 and 5 Khz. Therefore frequencies outside that band are not totally essential since they will hardly be perceived. Therefore it is possible to remove the content of the audio signal outside these frequencies.

As we can see in the drawing, the range in which a lower power is needed for the tone to be heard is between 2 and 4 Khz.

The masking effect This effect consists in that, when an audio signal has a tone at a given frequency, it produces a masking effect at the frequencies close to it, so that if at these nearby frequencies the signal does not exceed a certain power threshold cannot be heard and therefore it is not necessary to encode them. The form that this power threshold will take according to the position of the tone or the masking tones is what is called the psychoacoustic model, which as the name itself indicates is a perception model that tries to emulate the perception of the human ear.

In this graph we can see how if we put a tone at 1 Khz of 60 dB (masking tone) and then we put another tone at, for example 1.1 Khz and we vary the frequency of this, it is not possible to detect the presence of this second tone until its power exceeds the threshold presented in the figure.

In this case we see various masking tones and the resulting new hearing thresholds. In MP3, what is done is to divide the spectrum to be transmitted (that is, between 2 and 5 Khz) into frequency subbands, so that the power of the subband is evaluated and the masking threshold is created in the nearby subbands. Nearby subbands that exceed that power threshold are coded and those that do not exceed it are not coded.

Furthermore, the masking is not only in appearance but also in time as we can see in the figure.

The byte reserve: Often, some passages of a musical piece cannot be encoded at the same rate without altering the quality of the music. MP · then uses a small byte reservation that acts as a buffer using the capacity of passages that can be encoded at a lower rate in the given stream.
The stereo assembly In the case of a stereo signal, the MP3 format can use a few more tools to further compress the data.
Intensity stereo (IS) The human ear is not able to locate with complete certainty the spatial origin of sounds for very high or very low frequencies. This technique takes advantage of this, recording some frequencies as a monophonic signal, so that a minimum of spatial content is subtracted from the sound.
Mid / Side (M / S) Stereo When the left and right channels are similar then a middle channel (L + R) and a side channel (LR) are created, which are encoded instead of encoding the left channel on one side and the right for another. In this way it is possible to reduce the transmitted data using fewer bits for the lateral channel. Then during playback the MP3 decoder will reconstruct the left and right channels.

Huffman Coding: This coding technique is used at the end of the whole process. It works by creating variable-length codes, so that the symbols that appear in the bitstream most likely have shorter codes. The translation between symbols and codes is done using a table. Each code has a unique prefix so that the codes can be decoded correctly despite their variable length. This type of coding allows on average to reduce by 20% the amount of data to be transmitted. It is an ideal complement to perceptual coding since, during great polyphonies, perceptual coding is very efficient since many sounds are masked, but nevertheless little information is identical and Huffman’s algorithm becomes inefficient. During pure sounds there are few masking effects, but Huffman encoding is very efficient since digitized sound contains many repeating bytes.