About Audio Noises White, Pink, Brown, Blue

Audio noise refers to unwanted or undesirable sounds that interfere with the desired signal in audio systems. Different types of noise have distinct characteristics, which can be classified based on their frequency distribution or spectral content.


Binaural + Noises Sounds

1. White Noise:

  • White noise contains equal energy per frequency interval, resulting in a flat frequency spectrum. It is characterized by a hissing sound similar to that of a radio tuned between stations or the sound of air rushing through a vent.
  • White noise is often used in audio engineering for testing equipment, sound masking, and relaxation purposes.

2. Pink Noise:

  • Pink noise has equal energy per octave, which means its power decreases by 3 decibels (dB) per octave as frequency increases.
  • Pink noise sounds deeper and less harsh compared to white noise. It resembles the sound of steady rainfall or a gentle waterfall.
  • It's commonly used in audio testing, equalization adjustments, and sleep aids.

3. Brown/Red Noise:

  • Also known as brownian noise or red noise, it has a spectral density that decreases by 6 decibels per octave as frequency increases.
  • Brown noise has a deeper, more rumbling quality than pink noise, often likened to the sound of distant thunder or a low-frequency rumble.
  • It's sometimes used in audio applications to test low-frequency response or for relaxation purposes.

4. Blue/Azure Noise:

  • Blue noise has an increasing spectral density, meaning it has more energy at higher frequencies. It's the opposite of pink noise.
  • Blue noise sounds like a high-frequency hiss, similar to the sound of crashing waves or the wind.
  • It's used in audio applications where a flat frequency response or high-frequency emphasis is desired, such as in audio equalization or digital signal processing.