High quality audio coding using backward estimation of perceptual phenomena
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...
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2021
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10773/30718 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/30718 |
| Resumo: | 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. |
|---|