A backward-adaptive perceptual audio coder

This paper presents a new audio compression algorithm that includes a nonuniform filter bank, gain-adaptive logarithmic quantizers, arithmetic entropy coding and an explicit psychoacoustic model to adapt the quantization according to perceptual considerations. Unlike existing perceptual coders, the...

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Bibliographic Details
Main Author: Rodrigues, João Manuel (author)
Other Authors: Tomé, Ana Maria (author)
Format: bookPart
Language:eng
Published: 2021
Online Access:http://hdl.handle.net/10773/30801
Country:Portugal
Oai:oai:ria.ua.pt:10773/30801
Description
Summary:This paper presents a new audio compression algorithm that includes a nonuniform filter bank, gain-adaptive logarithmic quantizers, arithmetic entropy coding and an explicit psychoacoustic model to adapt the quantization according to perceptual considerations. Unlike existing perceptual coders, the new system is backward-adaptive, i.e., adaptation depends exclusively on already quantized samples, not on the original signal. We discuss the advantages of backward adaptiveness and show that it can be successfully applied to perceptual coding.