What is bit depth?


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What is bit depth?

Definition and description of bit depth

Digital audio requires certain values ​​to be set to describe the resolution of the sound data (sample) that is captured and stored in the audio file. This attribute is called bit depth.

Similarly, for image and video files, this measurement range is also used to determine the resolution of the image. The higher the bit depth (for example, 16-bit vs. 24-bit), the better the image.

This attribute is exactly the same as digital audio. Therefore, a higher audio bit depth provides a more detailed sound recording.

Bit depth is often confused with bit rate, but they are very different. Bitrate (measured in Kbps) is the data throughput per second when the sound is playing, not the resolution of the individual samples that make up the audio waveform. See Bit Depth and Bit Rate for more information.

Note: Bit depth is sometimes called sample format, audio resolution, or word length.

Bit depth details
The unit of measure for bit depth is a binary number (bit), and the precision doubles for each increase in bits. This bit range is an important integer that determines how good a recording (for example, part of the music) sounds.

If the bit depth is too low, the recording will not be very accurate and you may lose a lot of quiet sound. For songs that make up a digital music library, MP3s encoded in a high-bit-depth PCM audio format (usually WAV ) have low bit depth compared to those encoded from the original PCM file.

Therefore, in theory it is much more accurate during playback. As mentioned above, bit depth is especially important when dealing with the quiet harmonics of a song, as frequencies are lost if the bit depth is set too low.

Bit depth is relevant only within the range of the PCM signal. Therefore, there is no bit depth in the lossy compressed audio format.


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Author: R. Arias

R. Arias is the author of this article and has extensive experience for more than 30 years as a recording engineer and audio specialist, as well as more than 20 years of experience creating algorithms related to audio and video. Linkedin