Comparison of metrics for the evaluation of similarity in acoustic pressure signals

Breakey, David E. S.; Meskell, Craig

doi:10.1016/j.jsv.2013.02.033

Cited by 11 publications

(5 citation statements)

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“…While this function was initially developed for the evaluation of image quality 33 , 34 , it does not make any assumptions about its input data other than that it comes in the form of two matrices of same dimensionality, with numerical entries, irrespective of how the data in these matrices have been generated. Outside of the computer vision field, it is for example also used in transportation research to compare matrix representations of origin-destination graphs, which differ from chromatin contact graphs conceptually only in that they are directed graphs 69 , 70 , and as a similarity metric for acoustic pressure signals 71 , 72 .…”

Section: Methodsmentioning

confidence: 99%

CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction

et al. 2020

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Dynamic changes in the three-dimensional (3D) organization of chromatin are associated with central biological processes such as transcription, replication, and development. The comprehensive identification and quantification of these changes is therefore fundamental to our understanding of evolutionary and regulatory mechanisms. Here, we present CHESS (Comparison of Hi-C Experiments using Structural Similarity), an algorithm for the comparison of chromatin contact maps and automatic differential feature extraction. We demonstrate the robustness of CHESS to experimental variability and showcase its biological applications on: i) inter-species comparisons of syntenic regions in human and mouse; ii) intra-species identification of conformational changes in Zelda-depleted Drosophila embryos; iii) patient-specific aberrant chromatin conformation in a diffuse large B-cell lymphoma sample, and, iv) the systematic identification chromatin contact differences in high-resolution Capture-C data. In summary, CHESS is a computationally efficient method for the comparison and classification of changes in chromatin contact data.

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Section: Methodsmentioning

confidence: 99%

CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction

et al. 2020

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“…It was inspired and adapted for use in the auditory domain from an image processing technique, structural similarity, or SSIM [35], which was created to predict the loss of image quality due to compression artifacts. Adaptations of SSIM have been used to predict audio quality [36] and more recently have been applied in place of simple mean squared error in aeroacoustics [37]. Computation of NSIM is described below in Section 4.2.3.…”

Section: Measuring Speech Quality Through Spectrogram Similaritymentioning

confidence: 99%

ViSQOL: an objective speech quality model

Hines

Skoglund

Kokaram

et al. 2015

J AUDIO SPEECH MUSIC PROC.

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This paper presents an objective speech quality model, ViSQOL, the Virtual Speech Quality Objective Listener. It is a signal-based, full-reference, intrusive metric that models human speech quality perception using a spectro-temporal measure of similarity between a reference and a test speech signal. The metric has been particularly designed to be robust for quality issues associated with Voice over IP (VoIP) transmission. This paper describes the algorithm and compares the quality predictions with the ITU-T standard metrics PESQ and POLQA for common problems in VoIP: clock drift, associated time warping, and playout delays. The results indicate that ViSQOL and POLQA significantly outperform PESQ, with ViSQOL competing well with POLQA. An extensive benchmarking against PESQ, POLQA, and simpler distance metrics using three speech corpora (NOIZEUS and E4 and the ITU-T P.Sup. 23 database) is also presented. These experiments benchmark the performance for a wide range of quality impairments, including VoIP degradations, a variety of background noise types, speech enhancement methods, and SNR levels. The results and subsequent analysis show that both ViSQOL and POLQA have some performance weaknesses and under-predict perceived quality in certain VoIP conditions. Both have a wider application and robustness to conditions than PESQ or more trivial distance metrics. ViSQOL is shown to offer a useful alternative to POLQA in predicting speech quality in VoIP scenarios.

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“…A first step in this direction has been presented by Breakey & Meskell. 26 A better understanding of this effect-and possible alleviations of it-will be available from viewing time-resolved spatial plots of the sound predictions near the array edges, a result available from the current time-domain prediction technique. These plots will be considered in future work.…”

Section: Ivd3 Evaluation Of Experimental Limitationsmentioning

confidence: 99%