Perceptual audio coding

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Index: Spectral Audio Signal Processing

Spectral Audio Signal Processing

Spectral Audio Modeling History

Further Reading

Future Prospects

Audition is the act of listening. — Click for http://www.google.com/search?q=Auditory

A filter in the audio signal processing context is any operation that accepts a signal as an input and produces a signal as an output. Most practical audio filters are linear and time invariant, in which case they can be characterized by their impulse response or their frequency response. — Click for https://ccrma.stanford.edu/~jos/filters/What_Filter.html

Click for http://www.mpeg.org/

A sinusoidal model for sound approximates each tonal component of the sound as a sum of slowly varying sinusoids. For tonal sounds such as from vibrating strings or wind instruments (including voiced speech), a sinusoidal model can provide a compact, high-fidelity representation. In addition to providing an intuitive, malleable representation for sound, sinusoidal models are also used in advanced audio compression. — Click for https://ccrma.stanford.edu/~jos/sasp/Sinusoidal_Modeling_Sound.html

Harmonic and Individual Lines and Noise (HILN) models audio as sines and noise. — Click for http://en.wikipedia.org/wiki/Harmonic_and_Individual_Lines_and_Noise

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Index: Spectral Audio Signal Processing

Spectral Audio Signal Processing

Spectral Audio Modeling History

Perceptual audio coding

Perceptual audio coding evolved largely independently of audio modeling in computer music, up until perhaps when HILN (advanced sinusoidal modeling) was introduced into MPEG-4 [217]. Below is a sparse collection of salient milestones in the history of modern perceptual audio coding that came to the author's attention over the years:

Princen-Bradley filter bank (1986) [214]
Karlheinz Brandenburg thesis (1989) [24]
Auditory masking usage [200]
Dolby AC2 [53]
Musicam
ASPEC
MPEG-I,II,IV (including S+N+T ``parametric sounds'') [16,273]

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``Spectral Audio Signal Processing'', by Julius O. Smith III, W3K Publishing, 2011, ISBN 978-0-9745607-3-1.
Copyright © 2022-02-28 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA), Stanford University

Perceptual audio coding

``Spectral Audio Signal Processing'', by Julius O. Smith III, W3K Publishing, 2011, ISBN 978-0-9745607-3-1. Copyright © 2022-02-28 by Julius O. Smith III Center for Computer Research in Music and Acoustics (CCRMA), Stanford University

``Spectral Audio Signal Processing'', by Julius O. Smith III, W3K Publishing, 2011, ISBN 978-0-9745607-3-1.
Copyright © 2022-02-28 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA), Stanford University