Bit Depth: Understanding its Role in Audio Resolution

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Bit Depth: Understanding its Role in Audio Resolution

What is the importance of bit depth in audio resolution?

When it comes to audio resolution, bit depth plays a crucial role. Bit depth refers to the number of bits used to represent the amplitude of an audio signal. In simpler terms, it determines the level of detail and accuracy with which sound can be captured and reproduced. The higher the bit depth, the more precise the audio representation, resulting in greater dynamic range and fidelity.
Higher bit depths enable a wider range of possible values, allowing for more nuanced audio reproduction. In digital audio, the most common bit depths are 16-bit and 24-bit. A 16-bit audio signal can represent 65,536 discrete amplitude levels, while a 24-bit signal can represent a staggering 16,777,216 levels. This significant increase in resolution allows for more accurate representation of subtle audio nuances, resulting in a more realistic and immersive listening experience.

Moreover, higher bit depths help reduce quantization noise, which can degrade the audio quality. Quantization noise is the distortion introduced when the continuous analog audio signal is converted into a discrete digital representation. By increasing the number of bits used for quantization, the quantization noise can be pushed to lower levels, effectively minimizing its impact on the audio signal. This reduction in noise contributes to improved audio fidelity and a cleaner sound.

The impact of bit depth on audio recording

The choice of bit depth during audio recording has a significant impact on the quality and flexibility of the recorded material. When capturing audio, it is crucial to select an appropriate bit depth based on the desired outcome and the dynamic range of the source material.
For capturing music with a wide dynamic range or for critical recording applications, a higher bit depth, such as 24-bit, is preferred. This ensures that the delicate nuances and subtle variations in the performance are faithfully captured without losing detail. With a higher bit depth, there is ample headroom to accommodate sudden spikes in volume, preventing clipping and distortion.

On the other hand, for applications where the dynamic range is limited, such as voice recordings or podcasting, a lower bit depth, such as 16-bit, can be sufficient. Since these types of recordings typically have a smaller range between the softest and loudest sounds, the additional precision offered by higher bit depths may not be necessary. Using a lower bit depth can help conserve storage space and streamline the post-production process.

The benefits of higher bit depths in audio production

In audio production, working with higher bit depths offers several advantages that contribute to the overall quality of the final mix. Let’s explore some of these benefits:
1. Increased headroom: Higher bit depths provide more headroom, allowing audio engineers to work with greater flexibility during the mixing and mastering stages. This additional headroom ensures that any adjustments made to the audio levels or effects do not result in clipping or distortion.

2. Enhanced processing capabilities: Working with higher bit depths provides greater precision for applying audio processing effects, such as equalization, compression, and reverb. This precision allows for more accurate and transparent manipulation of the audio signal, resulting in a polished and professional sound.

The role of bit depth in audio playback

The bit depth of an audio file also impacts its playback quality. When playing back audio, it is important to ensure that the playback system supports the bit depth of the audio file. If the playback system is not capable of reproducing the full bit depth, the audio may be truncated or quantized, leading to a loss of detail and fidelity.
Furthermore, downsampling or converting high-resolution audio files with a higher bit depth to a lower bit depth can result in a loss of information and audio quality. It is essential to carefully consider the bit depth compatibility between the source material and the playback system to ensure an accurate and faithful reproduction of the audio.

Final Words

Bit depth plays a fundamental role in audio resolution, influencing the accuracy, fidelity, and dynamic range of the sound. Understanding the importance of bit depth in audio recording, production, and playback allows for informed decisions to be made regarding the selection and handling of audio files. By leveraging higher bit depths, audio professionals can achieve higher quality recordings and deliver an exceptional listening experience to their audiences.
Keywords (LSI): audio fidelity, dynamic range, quantization noise, recording quality, audio production, audio playback, higher resolution, audio nuances, digital representation, accurate reproduction, audio engineers, playback system, audio file compatibility.

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What is the maximum video bit depth supported by MP4?

Mp4 video bit depth

Understanding the MP4 Video File Format

As video technology has advanced, so too has the number of video file formats available. One of the most popular video file formats today is the MP4 format. The MP4 format is known for its versatility and compatibility with a wide range of devices and platforms.

One of the key features of the MP4 file format is its ability to compress video data without sacrificing quality. This is achieved through the use of video compression algorithms, which reduce the amount of data required to store video content while maintaining its visual fidelity.

Maximizing Video Quality in MP4

To ensure that your MP4 videos look their best, it’s important to understand the maximum video bit depth supported by the format. Bit depth refers to the number of bits used to represent each color in a video image. The higher the bit depth, the more colors that can be represented, resulting in smoother gradients and more accurate color reproduction.

The maximum video bit depth supported by MP4 is 10 bits per channel, which allows for a total of 1.07 billion possible colors. This is a significant improvement over the 8-bit color depth supported by many other video file formats, which only allows for 16.7 million colors.

To take advantage of the higher bit depth supported by MP4, it’s important to use a video encoder that supports 10-bit color depth. This will ensure that your videos have the maximum possible color accuracy and quality.

Ensuring Compatibility and Playback

While MP4 is a widely supported video file format, it’s important to ensure that your videos are compatible with the devices and platforms you intend to use them on. This includes checking the video codec used in your MP4 files, as well as the audio codec and other technical specifications.

In addition, it’s important to consider the playback software or hardware that will be used to view your MP4 videos. Not all devices and software support the maximum video bit depth of 10 bits per channel, so it’s important to test your videos on a range of devices to ensure they will play back correctly.

Final Words

In conclusion, understanding the maximum video bit depth supported by MP4 is important for ensuring the best possible video quality. By using a video encoder that supports 10-bit color depth and testing your videos on a range of devices, you can ensure that your MP4 videos look their best and are compatible with a wide range of platforms.

What is the difference between bit depth and bitrate?

Understanding Bit Depth and Bitrate

When it comes to audio and video files, there are two terms that are often used interchangeably: bit depth and bitrate. However, they are not the same thing. Bit depth refers to the number of bits used to represent each sample in an audio or video file, while bitrate refers to the amount of data transmitted per second.
Bit depth determines the number of possible values for each sample in a digital audio or video file. For example, an 8-bit audio file can have 256 possible values per sample, while a 16-bit file can have 65,536. The higher the bit depth, the more accurate the representation of the original sound or image.

On the other hand, bitrate refers to the amount of data transmitted per second in a digital file. In other words, it’s the rate at which data is encoded in a file. Higher bitrates typically mean higher quality files with more information, but also larger file sizes.

Audio Bit Depth vs Bitrate

When it comes to audio files, the bit depth and bitrate are both important factors in determining the quality of the sound. A higher bit depth means a more accurate representation of the original sound, while a higher bitrate means more data is transmitted per second, resulting in a higher quality sound.
However, it’s important to note that a higher bitrate does not necessarily mean a higher quality sound. If the original recording is of poor quality, increasing the bitrate will not improve the sound. In fact, it can actually result in larger file sizes with no improvement in sound quality.

Video Bit Depth vs Bitrate

Video files also have bit depth and bitrate, but they work slightly differently than in audio files. Bit depth determines the number of colors that can be represented in a video file, while bitrate determines the amount of data transmitted per second.
A higher bit depth means a wider range of colors can be represented in the video, resulting in a more accurate and vibrant image. However, a higher bitrate is also important for video files, as it determines the amount of detail that can be captured in each frame.

It’s important to find the right balance between bit depth and bitrate for video files, as increasing one can have a negative impact on the other. For example, a high bit depth with a low bitrate can result in a choppy or pixelated image, while a low bit depth with a high bitrate can result in a washed-out or blurry image.

Final Words

In conclusion, bit depth and bitrate are both important factors to consider when working with audio and video files. While they may seem similar, they serve different purposes and have different effects on the quality of the final product. It’s important to find the right balance between the two to ensure the best possible sound or image quality.
Keywords: audio bit depth, video bit depth, bit depth vs bitrate, bitrate definition, bitrate vs quality, audio quality, video quality, digital audio, digital video, file size, data transmission, accuracy, color representation, image quality, sound quality, audio recording, video recording, data encoding, pixelation, file format, media production, sound engineering, video editing, multimedia, digital media, technology, mp4gain, audio normalization, audio conversion, equalizer, windows, digital signal processing, dynamic

Bit depth and sample rate

The first thing to understand is that bit depth and sample rate only exist in digital audio.

In digital audio, bit depth describes amplitude (vertical axis) and sample rate describes frequency (horizontal axis). So increasing the number of bits we use increases the resolution of the sound’s amplitude, and increasing the number of samples per second increases the resolution of the sound’s frequency.

In an analog system (the natural world), the audio is continuous and smooth. In digital systems, smooth analog waveforms can only be roughly sampled and limited to a certain amplitude range. When sampling a sound, the audio is divided into small segments (samples) that are fixed at an amplitude level. The process of correcting a signal to a certain amplitude level is called quantization, and the process of creating a sample segment is called sampling.

In the graph below, a natural sine wave is displayed for up to 1 s, starting from 0 and ending at 1 s. The blue bars represent approximations of the digital quantization of the sine wave, and each bar is a sample, clipped to the approximate available amplitude level. (Of course, the graph is more incomplete than reality).

Depending on the choice made during recording, an audio of 1 s duration can have samples of 44.1K, 48K and, in the case of 24 bits, contains an amplitude level of -144 dB at 0 dB (- 96dB to 0dB for 16bit). The dynamic range resolution (the number of amplitude level units that can be used for a sample, ie the number of rectangles displayed) is 65536 at 16 bits and 16777216 at 24 bits.

Therefore, increasing bit depth can greatly improve amplitude resolution and dynamic range. So where does the increase in dynamic range appear? Since the amplitude cannot exceed 0dB, the added dB is distributed to samples with smaller amplitudes. So one can hear more small sounds (such as a reverb track stretching at -130dB) that would cut off at 16 bits, -96dB.

round and discard

In digital audio, each sample is analyzed, processed, converted to audio, and then played through speakers. When a sample is processed in your DAW (gain, distortion, etc.), they go through basic multiply and divide operations that allow you to change the digital representation of the sample. Very simply, if we don’t do the rounding process (the 1dB gain must be multiplied by 1.122018454), even 8 or 4 bits of sample precision will exceed the 24-bit space.

So since we only have 24 bits, these long numbers need to fit in this space. To do this, the DSP rounds or discards the least significant bit (LSB, the last digit in the number of bits, for example, the 16th digit in a 16-bit sample). Rounding is fairly straightforward and uses algorithms that you are familiar with. Discard discards the information after the least significant bit without analysis.

Both processes have certain errors, they will introduce errors into the equation, these errors accumulate through signal chain processing and are eventually reflected. On the plus side, the LSB is the digital bit with the smallest amplitude, so the error occurs at -96dB for 16-bit samples and -144dB for 24-bit samples. At the same time, the different structures and methods of digital signal processors will also lead to different results.

Bitrate Part 2

bitrate

The amount of information transmitted through the channel per unit of time is called the bit rate, and the unit is bits per second (bit/s), called the bit rate.

BITRATE

Bitrate is often used in communications as a synonym for connection speed, transmission speed, channel capacity, peak throughput, and digital bandwidth capacity. The higher the bit rate, the higher the data transfer. Bit rate in video refers to the sampling rate at which an analog signal is converted to a digital signal [4] . Video file quality is often measured in terms of bitrate. [4] .
Distinction of conceptedit transmission
Baud rate is also known as waveform rate or modulation rate. The code for a data unit is represented by a finite combination of numbers, each of which is a symbol (or code point). In electrical communication, an electrical waveform is often used to represent one or more symbols. Waveforms with different characteristics may represent different symbol values or symbol combination values, and the duration of the waveform corresponds to the duration of the symbol or symbol combination it represents. Obviously, the shorter the duration of an electrical waveform, the more waveforms are transmitted in a unit of time, or the more data is transmitted, that is, the higher the data rate. Therefore, we can define the baud rate as follows: In the process of data transmission, the number of waveforms transmitted per unit time on the line is the baud rate, and its unit is “baud” [5] .
“Bit rate” and “baud rate” are speed units defined in two different concepts, and it is often easy to confuse them when you are not careful. When binary waveform is used, baud rate and bit rate have the same value, but their meanings are different [5] .
Difference: Both bit rate and baud rate are units that measure the transmission rate of a modem. In data transmission, data information is represented by binary numbers “0” and “1”, and each binary number is called 1 bit. The number of bits transmitted through the channel per unit of time is called the bit rate, expressed in bits per second, usually abbreviated as bit/s. The number of symbols transmitted through the channel per unit of time is called the baud rate, also called the modulation rate. Bit rate and baud rate are consistent only when modulated with two values. For example, in quadrature modulation, every two bits of the data signal form a symbol, and there are 4 values: 00, 01, 10 and 11, which represent the phase changes of the 4 types of carrier signals respectively, for Therefore, send such a symbol. It is equivalent to transmitting two bits of data, and the baud rate is equivalent to half the bit rate. The usual transmission rates of 300, 600, 1200 and 9600, etc., refer to the baud rate, which indicates that the number of binary numbers transmitted per unit of time is 300, 600, 1200 and 9600 [6] .

Bit rate

Bit rate refers to the number of bits (bit) transmitted per unit of time, in bps (bit per second).

Bit rate is also known as “binary bit rate”, commonly known as “code rate”. Indicates the number of bits transmitted per unit of time. It is used to measure the transmission speed of digital information, often written as bit/sec. According to the number of bits occupied by each image storage frame and the transmission bit rate, the digital image information transmission speed can be calculated [1].
In modern digital communication, the transmission volume of digitized video and other information is large, so it is often measured in kilobits per second or megabits per second, which are written as kbit/sec (or kbps) and Mbit/sec. (or Mbps respectively). ). For example, the amount of information digitized from an ordinary color TV signal can reach 216 Mbit/sec. A good digital broadcast channel can transmit dozens of color TV programs, and its capacity can reach several gigabits or gigabits per second (written as Gbit/sec or Gbps) [1] .
Bitrate is often used to measure the quality of video files.
Bitrate is often used to measure the quality of video files.
flexibility edit stream
Because each network is unique and each access line has different conditions (such as length, attenuation, crosstalk environment, etc.), access lines from different telephone companies must support different data rates. For ADSL and VDSL modems, it is best to set the data rate to one of many possible data rates. For example, DMT-based ADSL and VDSL can theoretically change the tariff at fine intervals, and CAP-based RADSL (Rate Adaptive ADSL) also provides some flexibility in tariff configuration [2].
However, telephone companies may want to limit xDSL service to a small set of rates sufficient to provide a variety of services. If a limited set of tariffs can be adapted to a wide range of services, then the management of the services in this case is simpler than in the case of variable tariffs. Telephone companies want the choice of modem speed to be under the control of the network, not the user [2] .
In this mode, the selection of the transmission rate set of the xDSL network must be prudent. In this case, there is a possibility that two adjacent systems receive traffic at very different rates and the system must be able to handle such a situation. The other model, the “best match” approach using adaptive rate ADSL (similar to a voiceband modem), is more beneficial to new network operators and Internet Service Providers (ISPs) [2] .
Transmission control method
Most bit rate control schemes consist of two parts. Part of the encoded bit stream output by the encoder is fed into a buffer. For a constant bitrate channel, the data in the buffer is fetched at a constant rate, and if the buffer is large enough, the bitrate variation caused by the MPEG picture type, etc. can be smoothed out. This is necessary for both constant bit rate transmission and variable bit rate transmission in general. However, in practice, the buffer size is always limited. The buffering process will bring a delay to the system, and this delay is proportional to the size of the buffer. Latency is often a serious issue for real-time image communication, so buffers should be kept as small as possible. That is, long-term fluctuations in bitrate due to changes in scene content or changes, etc. they cannot be softened in this way, so another part is needed. This is to send some measure of the output bitrate to the encoder to control the encoding process, thus changing the output bitrate [3] .

Sample rate and bit rate of MP3 Part 2

BIT RATE

The number of digits in the sound is equivalent to the number of colors on the screen, indicating the amount of data per sample.

Of course, the larger the amount of data, the more accurate the playback sound, so as not to confuse the sound. of the teapot with the train whistle. In the same way, it is more clear and precise for the image, so as not to confuse blood and ketchup. [However, limited by the function of human organs, 16-bit sound and 24-bit image are basically the limits of ordinary humans, and the higher digits can only be distinguished by instruments. For example, the phone has 7-bit sound sampled at 3 kHz and the CD has 16-bit sound sampled at 44.1 kHz, so the CD is clearer than the phone. ]

When you understand the above two concepts, bitrate is easy to understand. Take the phone as an example, 3000 samples per second, each sample is 7 bits, then the phone’s bit rate is 21000. And the CD is 44100 samples per second, two channels, each sample is 13 bit PCM encoded, so the CD bit rate is 44100*2*13=1146600, which means the CD data volume per second is about 144KB. the capacity of a CD is 74 minutes equal to 4440 seconds, which is 639360KB=640MB.

Sound is actually a type of energy wave, so it also has the characteristics of frequency and amplitude, with frequency corresponding to the time axis and amplitude corresponding to the level axis. The wave is infinitely smooth, and the string can be considered to be made up of innumerable points. Since the storage space is relatively limited, in the process of digital encoding, the points of the string must be sampled. The sampling process consists of extracting the frequency value of a certain point. Obviously, the more points that are extracted in one second, the richer the frequency information that can be obtained. To restore the waveform, there must be two sampling points in one vibration. The highest frequency that can be felt is 20kHz, so to meet the auditory requirements of the human ear, at least 40k samples per second, expressed at 40kHz, and this 40kHz is the sample rate. Our common CD has a sample rate of 44.1 kHz. It is not enough to have only frequency information, we must also obtain and quantify the energy value of this frequency to represent the strength of the signal. The number of quantization levels is an integer power of 2, and the sample size of our common CD bit is 16 bits, that is, 2 to the power of 16. Sample size is harder to understand than bit rate. sampling, because it makes it seem abstract. For a simple example: suppose a wave is sampled 8 times, and the energy values corresponding to the sampling points are A1-A8, but we only use 2-bit sampling size, as a result we can only keep the 4 point values in A1-A8 and discard the other 4. If we use the 3bit sample size, all 8 point information is recorded. The higher the sample rate and sample size values, the closer the recorded waveform is to the original signal.

MP3 sample rate and bit rate

Bit Rate

When we listen to mp3 and watch movies, we will notice two parameters.

BIT RATE

The most common ones are 44.1 KHz sample rate and 192 Kbps bit rate. So what is the sample rate and what is the bit rate? What is the relationship between them? Explain:

The process of converting an analog audio signal to a digital audio signal is called sampling. In a nutshell, how many data points does it take to record a 1 second long sound via waveform sampling. For example: the sound sample rate of 44.1 KHz is equivalent to spending 44,000 data points to describe the sound waveform for 1 second. In principle, the higher the sample rate, the better the sound quality; sampling frequency is generally divided into three levels: 22.05KHz, 44.1KHz and 48KHz; 22.05KHz can only achieve FM radio sound quality, and 44.1KHz is the theoretical limit of CD sound quality, 48KHz has reached DVD quality.

Sampling rate refers to the sampling frequency when converting sound (analog signal) to mp3 (digital signal), i.e. how many data points are sampled per unit of time. (The data for a sample point is 8 (or even more) bits long.)

Bit rate refers to the number of bits (bits) transmitted per second. The unit is bps (bit per second). The higher the bitrate, the more data transmitted and the better the sound quality.

It can be said that the sample rate and bit rate are like the horizontal and vertical coordinates on the coordinate axis. The sampling frequency on the abscissa represents the data points sampled per second. The bit rate on the ordinate represents the precision when quantizing analog quantities with digital quantities.

The sample rate is similar to the number of frames of moving images. For example, the sampling rate of movies is 24 Hz, the sampling rate of PAL format is 25 Hz, and the sampling rate of NTSC format is 30 Hz. When we play back the still images sampled at the same rate as the sampling frequency, we see a continuous image. In the same way, when a CD recorded at a sampling rate of 44.1 kHz is played back at the same rate, a continuous sound can be heard. Obviously, the higher the sample rate, the more coherent the sound will be heard and the picture will be seen. [Of course, the sampling rate that human auditory and visual organs can distinguish is limited, which is basically higher than sound sampled at 44.1kHZ, and most people haven’t noticed the difference. ]

Quality (bit rate)

In multimedia technology, quality is often used to judge the effect of audio, and quality here is actually bitrate.

1. Introduction
2 sound control
3 encoding mode
Introductionedit transmission
The term quality is widely used.
In multimedia technology, quality is often used to judge the effect of audio, and quality here is actually bitrate.
On WINDOWS it is called “bit rate” and on some players it is described as ” bit rate “.
Quality refers to the bit rate at which digital sound is converted from analog to digital format. The higher the bitrate, the better the quality of the restored sound.
sound control edit stream
16 Kbps = phone quality
24 Kbps = increase phone quality, shortwave transmission, longwave transmission, European standard medium wave transmission
40 Kbps = American standard medium wave transmission
56Kbps=Voice
64 Kbps = boost voice (best bitrate setting for cell phone ringtones, best setting for cell phone mono MP3 players)
112 Kbps = FM stereo broadcast FM 128 Kbps = tape (best setting for mobile phone stereo MP3 player, best setting for low-end MP3 player)
160 Kbps = HIFI high fidelity (best setting for mid to high end MP3 players)
192Kbps=CD (best setting for high-end MP3 players)
256Kbps=Studio Music Studio (for music enthusiasts)
In fact, with the advancement of technology, the quality of music is also getting higher and higher, the highest quality of MP3 is 320Kbps, but some formats can achieve higher sound quality.
For example, the emerging APE audio format can provide real audiophile level lossless sound quality and smaller volume than WAV format, and its quality is usually 550kbps-950kbps.
encoding modeedit stream
VBR (Variable Bitrate) Dynamic Bitrate means there is no fixed bitrate. The compression software immediately determines which bitrate to use based on the audio data being compressed. This is a method that takes quality as a premise and takes file size into account The recommended encoding mode;
ABR Average Bit Rate (Average Bit Rate) is an interpolation parameter of VBR. LAME created this encoding mode in response to the low file volume ratio of CBR and the variable size of files generated by VBR. Within the specified file size, ABR takes every 50 frames (about 1 second for 30 frames) as a segment. High-frequency and insensitive frequencies use relatively low traffic, and low-frequency and large dynamic performance use high traffic, which can be used as VBR and CBR, a compromise option.
CBR (constant bitrate), constant bitrate means the file has one bitrate from start to finish. Compared to VBR and ABR, the compressed file size is very large and the sound quality will not improve significantly compared to VBR and ABR.

Why can the difference in bitrate make it sound great (high, medium, low)?

Why can the difference in bitrate make it sound great (high, medium, low)?

Bit Depth vs. Bit Rate

Reply:
Just to make sure this is clear, let’s differentiate

BIT RATE BIT DEPTH

sample rate vs bit depth

as much as

Bit rate

how they relate to audio in the digital domain …

Sampling frequency:

The sample rate is specified as a frequency (samples per second), for example, 44.1 kHz for CD. Other common values are 48, 88.2, 96, 176.4, and 196 kHz, although some formats (such as DSD) have sample rates greater than 2.8 MHz. The sample rate indicates

how often the audio signal is measured

While some people view lower readings as a tiered bar graph, I prefer to view them as a child bitmap. If you take the outline of a horse and simplify it to 20 points so the child can connect, it’s not so much that you end up with steps (using straight and curved lines to connect 20 correctly spaced points can lead to a decent figure), but there won’t be without subtlety. Whereas with 200 (or 2000) points, you could approximate the wavy strands along the horse’s mane.

In audio, a lower sample rate does not make the sound “bad” (eg, fuzzy, fuzzy, or distorted), but rather limits the maximum frequency (pitch) that can be recorded / played back as intended.

Nyquist theorem formula

, The 44.1 kHz sampling rate was chosen for CD because it can record and play back frequencies up to 20 kHz. To record a spoken word (such as a speech, a sermon, or an audiobook), it would be difficult to detect a much lower sample rate, as the human voice has less and less harmonic information above 10 kHz.

Depth bits:

Considering that the sampling frequency determines how

often

audio signal is measured, bit depth indicates

scale accuracy

Since we are talking about digital audio, we describe this measurement scale in bits, where each bit is 0 or 1, and we concatenate a certain number of them to represent the value. When we have 8 bits, there are 256 possible numerical values, including zero. With 16 bits, there are 65,536 possible values. A 24-bit register can use 16,777,216 values.

When we convert analog audio to digital representation (A-to-D) and vice versa (D-to-A), we find interesting mathematical relationships. Each bit (digital) doubles the number of possible values … And doubling the amplitude (approximately 4 times the power) of the sound wave (analog) corresponds to + 6 dB of loudness. Therefore, we can estimate the maximum dynamic range * of a digital recording at 6 dB / bit. Therefore, 8-bit recording has ~ 48 dB of dynamic range, 16-bit recording (such as a CD) has ~ 96 dB, and 24-bit recording has ~ 144 dB.

* For those of you unfamiliar with this term, dynamic range basically describes the difference between the quietest and loudest sound waves that can be recorded / played back. The CD has a difference of approximately 96 dB, which can be used to represent the most subtle pause compared to the incredibly loud burst of the cannon at Tchaikovsky’s climax.

1812 Overture

Three quick notes for those interested in delving into the rhythm …

There is a formula for the actual dynamic range of a digital recording that may differ slightly from the previous estimate, but it is a fairly minimal deviation, so an estimate of 6 dB / bit is what you normally see in quotes.
The latest 32-bit floating point representations combine a 24-bit number and an 8-bit exponent to represent many more possible values than 24-bit registers. The dynamic range estimate is getting a bit dubious, but suffice it to say it’s well above 144 dB.
Using a lower bit depth, while you might think in terms of warp plugins with names like “bit-grinder”, doesn’t have to sound “bad” (eg fuzzy, fuzzy, or distorted), but just represents a reduced dynamic range. But since a 16-bit recording with a dynamic range of 96 dB (65,536 numerical values) cannot be represented in 8 bits (48 dB and 256 numerical values), to reduce the bit depth of the already digitized audio, a mathematical correction of the numbers down. (for example, 65535 becomes 255) using a compressor or limiter, which can cause the quietest recording bits to be lost so that the difference between soft and loud parts is <48 dB. Without such scheme, the transformation will cause clipping (numerical values above the maximum),
Bit rate:

In digital audio, the bit rate is a measure of

how many bits are transmitted / processed per second