Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | 129th Audio Engineering Society Convention 2010 |
Herausgeber (Verlag) | Audio Engineering Society |
Seiten | 1171-1177 |
Seitenumfang | 7 |
Band | 2 |
ISBN (Print) | 9781617821943 |
Publikationsstatus | Veröffentlicht - 2010 |
Veranstaltung | 129th Audio Engineering Society Convention 2010 - San Francisco, CA, USA / Vereinigte Staaten Dauer: 4 Nov. 2010 → 7 Nov. 2010 |
Abstract
In this paper four combinations of perceptual models and transform coding systems are implemented and compared. The first of the two perceptual models is based on a DFT with a uniform frequency resolution. The second model uses IIR filters designed in accordance with the temporal/spectral resolution of the auditory system. Both of the two transform coding systems use a uniform spectral decomposition (MDCT). While in the first system the quantizers are directly controlled by the perceptual model, the second system uses a preand post-filter with frequency warping for shaping the quantization noise with a temporal/spectral resolution more adapted to the auditory system. Implementation details are given and results of subjective tests are presented.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Modellierung und Simulation
- Physik und Astronomie (insg.)
- Akustik und Ultraschall
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129th Audio Engineering Society Convention 2010. Band 2 Audio Engineering Society, 2010. S. 1171-1177.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Combination of different perceptual models with different audio transform coding schemes
T2 - 129th Audio Engineering Society Convention 2010
AU - Taghipour, Armin
AU - Knölke, Nicole
AU - Ostermann, Jörn
AU - Edler, Bernd
PY - 2010
Y1 - 2010
N2 - In this paper four combinations of perceptual models and transform coding systems are implemented and compared. The first of the two perceptual models is based on a DFT with a uniform frequency resolution. The second model uses IIR filters designed in accordance with the temporal/spectral resolution of the auditory system. Both of the two transform coding systems use a uniform spectral decomposition (MDCT). While in the first system the quantizers are directly controlled by the perceptual model, the second system uses a preand post-filter with frequency warping for shaping the quantization noise with a temporal/spectral resolution more adapted to the auditory system. Implementation details are given and results of subjective tests are presented.
AB - In this paper four combinations of perceptual models and transform coding systems are implemented and compared. The first of the two perceptual models is based on a DFT with a uniform frequency resolution. The second model uses IIR filters designed in accordance with the temporal/spectral resolution of the auditory system. Both of the two transform coding systems use a uniform spectral decomposition (MDCT). While in the first system the quantizers are directly controlled by the perceptual model, the second system uses a preand post-filter with frequency warping for shaping the quantization noise with a temporal/spectral resolution more adapted to the auditory system. Implementation details are given and results of subjective tests are presented.
UR - http://www.scopus.com/inward/record.url?scp=84866046486&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84866046486
SN - 9781617821943
VL - 2
SP - 1171
EP - 1177
BT - 129th Audio Engineering Society Convention 2010
PB - Audio Engineering Society
Y2 - 4 November 2010 through 7 November 2010
ER -