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The focus in audio signal processing is most typically an analysis of which parts of the signal are audible. For example, a signal can be modified for different purposes such that the modification is controlled in the auditory domain. Which parts of the signal are heard and which are not, is not decided merely by physiology of the human hearing system, but very much by psychological properties. These properties are analysed within the field of psychoacousticsPsychoacoustics is the study of subjective human perception of sounds. Effectively, it is the study of psychology of acoustical perception. Background In many applications of acoustics and audio signal processing it is necessary to know what humans actual.

Processing methods and application areas include storageAudio storage refers to techniques and formats used to store audio with the goal to reproduce the audio later using audio signal processing to something that resembles the original. Audio storage techniques: Analogue recording media Phonograph (analogue s, level compressionNote: This article is about audio level compression, which reduces the dynamic range of audio signals. This should not be confused with audio data compression, which reduces the data rate of digital audio signals. The term "audio compression", meaning aud, data compressionNote: This article is about audio data compression, which reduces the data rate of digital audio signals. This should not be confused with audio level compression which reduces the dynamic range of audio signals, or companding, which uses both compression, transmission, enhancement (e.g., equalizationIn audio processing, equalization (EQ) is the process of modifying the frequency envelope of a sound. Strictly, and etomogically, it means to correct for the frequency response of another audio device. Early telephone systems used equalization to correct, filteringAn audio filter is a type of filter used for processing sound signals. Many types of filters exist for applications including graphic equalizers, synthesizers, sound effects, CD players and virtual reality systems. An audio filter is typically designed to, noise cancellation, echo or reverb removal or addition, etc.), source separation, sound effects and computer music.

1 Glossary

• DFT: discrete Fourier transform
• DWG: digital waveguide, efficient method of modeling the propagation of waves
• FDN: feedback delay network , used to simulate reverberation
• FFT: fast Fourier transform
• FIR: finite impulse response
• IIR: infinite impulse response
• LPC: linear predictive coding
• PSOLA: pitch-synchronous overlap-add method (method of audio time scaling).
• SOLAFS : synchronous overlap-add, fixed synthesis (method of audio time scaling).
• TDHS : time-domain harmonic scaling (method of audio time scaling).