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...
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| Format: | conferenceObject |
| Language: | eng |
| Published: |
2021
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| Online Access: | http://hdl.handle.net/10773/30718 |
| Country: | Portugal |
| Oai: | oai:ria.ua.pt:10773/30718 |
| 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. |
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