Paper Info
Title
Structural Similarity Analysis of Modulation for audio quality assessment
Abstract
This paper proposes an improved structural similarity method for audio quality assessment, which is Structural Similarity Analysis of Modulation (SSAM). Different from original structural similarity index measure, we introduce the analysis of structural similarity of modulation together with Computational Auditory Signal-processing and Perception (CASP) model. Audio features from CASP are extended to three dimensions: time, frequency and modulation spectrum. The combined architecture of ITU-R BS.1387-1 and proposed SSAM is given in this paper. Our proposed estimation system not only shows highly correlated with subjective results but also overcomes the shortage of ITU-R BS.1387-1 that only suitable for small impaired audio.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6637678
ICASSP
Keywords
Field
DocType
structural similarity analysis of modulation,audio features,modulation domain,computational auditory signal-processing and perception model,structural similarity index measure,time spectrum,modulation spectrum,frequency spectrum,estimation theory,audio quality,audio quality assessment,itu-r bs.1387-1,audio signal processing,casp model,estimation system,ssam,time-frequency analysis,frequency domain analysis,indexes,modulation,time frequency analysis,computational modeling
Pattern recognition,Computer science,Speech recognition,Modulation,Sound quality,Structural similarity,Artificial intelligence,Time–frequency analysis,Estimation theory,Audio signal processing,Perception,CASP
Conference
Volume
Issue
ISSN
null
null
1520-6149
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Mengyao Zhu1183.85
Jia Zheng200.68
C. T. Jin311822.68
Wanggen Wan412934.04