Audio dithering is an audio processing technique that adds a noise-like signal to a digital audio signal before converting it to a lower data format. This is usually done to ensure the accuracy of the digital audio sampling to improve and minimize the effects of quantization errors. When digital audio signals are recorded or edited, they are quantized into discrete values ​​(samples). The higher the resolution of the audio format, the more discrete values ​​are available to describe the audio signal. This means greater accuracy. However, due to rounding errors and other factors, inevitable quantization errors can occur when converting the signal from a higher resolution to a lower resolution. In quiet passages, fewer bits are used to represent the waveform, leading to audible artifacts and distortions - the quantization errors. Therefore, particularly quiet signals benefit from the use of dithering. By adding dither signals with a specific noise spectrum, the quantization errors can be reduced to an imperceptible level. Audio dithering is therefore an important process when creating high-quality digital audio recordings, as otherwise signals will be surrounded by quantization noise - i.e. the noise that is generated when an analog signal is converted to digital.