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Audio bit depth - Wikipedia
https://en.wikipedia.org/wiki/Audio_bit_depth#:~:text=Example%20applications%20and%20supported%20audio%20bit%20depth%20,LPCM%20and%20others%20%2013%20more%20rows%20
What is bit depth in audio? 16 bit, 24 bit and 32 bit ...
https://www.mixinglessons.com/bit-depth/
The most common bit depths for recording and bouncing audio are 16 bit and 24 bit. 16 bit provides each sample with 65,536 possible amplitude values. 24 bit provides each sample with 16,777,216 possible amplitude values. As such, 16 bit provides you with 96dB of dynamic range between the noise floor and 0dBFS. 24 bit provides you with 144dB of dynamic …
Bit Depth | Digital Audio Wiki | Fandom
https://digital-audio.fandom.com/wiki/Bit_Depth
The term bit depth refers to the number of bits used in a digital system to describe elementary information. This has an implication on the number of possible values the system can deal with - in essence, the maximum possible number the computer can count to before having to start again with a new word.
Digital Audio Primer: What is Bit Depth? - KNVP Studios
https://www.knvpstudios.com/knvp-blog/what-is-bit-depth
Bit depth also defines the dynamic range of the signal, meaning the range of the quietest sound vs. the loudest sound that can be captured. Therefore in theory, the higher the bit depth, the better and better the sound, and the lower the bit depth the lower quality the sound.
Digital Audio Basics: Audio Sample Rate and Bit Depth
https://www.izotope.com/en/learn/digital-audio-basics-sample-rate-and-bit-depth.html
The audio bit depth determines the number of possible amplitude values we can record for each sample. The most common audio bit depths are 16-bit, 24-bit, and 32-bit. Each is a binary term, representing a number of possible values. Systems of higher audio bit depths are able to express more possible values: 16-bit: 65,536 values; 24-bit: 16,777,216 values
Bit-depth explained: Everything you need to know - …
https://soundguys.com/audio-bit-depth-explained-23706/
Bit depth is all about noise, and the more bits of data you have to store audio, the less quantization noise will be introduced into your recording. By the same token, you’ll also be able to capture smaller signals more accurately, helping to drive the digital noise floor below the recording or listening environment.
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