Quantization noise is noise that results from converting an analog signal to a digital signal. When an analog signal is converted to a digital signal, it is broken down into a series of discrete values ​​called quantization levels. Because the analog signal is continuous, it cannot be perfectly broken down into the discrete quantization levels. This introduces an error called quantization error, which can distort the signal. Quantization noise arises when the quantization error is combined with random noise. Noise can be minimized by dithering, which adds artificial noise to the signal. This can help spread the quantization error over a broader frequency distribution, thereby reducing quantization noise. Quantization noise can be audible, especially at low resolutions and bit depths. However, at higher resolutions and bit depths, quantization noise is typically less audible and can be further reduced through the use of noise reduction algorithms.