Abstract

Abstract

Abstract
This paper addresses the problem of unsupervised speaker change detection. Three systems based on the Bayesian Information Criterion (BIC) are tested. The first system investigates the AudioSpectrumCentroid and the AudioWaveformEnvelope features, implements a dynamic thresholding followed by a fusion scheme, and finally applies BIC. The second method is a real-time one that uses a metric-based approach employing the line spectral pairs and the BIC to validate a potential speaker change point. The third method consists of three modules. In the first module, a measure based on second-order statistics is used; in the second module, the Euclidean distance and T-2 Hotelling statistic are applied; and in the third module, the BIC is utilized. The experiments are carried out on a dataset created by concatenating speakers from the TIMIT database, that is referred to as the TIMIT data set. A comparison between the performance of the three systems is made based on t-statistics.

Abstract

Abstract
Twenty-four experts from 13 different countries were asked to evaluate photographs taken of 60 women following conservative breast cancer treatment. The esthetic result of each case was classified as poor, fair, good or excellent. Agreement was evaluated using the kappa (k) and weighted kappa (wk) statistics, for all observers, mate and female participants, those younger and older than 50 years, those seeing more than 250 cases a year, and those with previous publications in this area. Consensus was obtained by way of a modified Delphi approach, when more than 50% of participants provided the same classification. In a second round, consensual cases were disclosed and a revised opinion was asked in non-consensual ones. Agreement between all participants was fair (k = 0.24, wk = 0.37) and remained within the same range (k = 0.20-0.31, wk = 0.31-0.45) in the subgroups analyzed. First round consensus was obtained in 46 out of 60 cases (77%) and in the second round in 59 out of 60 cases (98%). Evaluation of the esthetic results of conservative treatment for breast cancer is only fairly reproducible when performed by experts working in different geographical areas. Consensus is obtainable if a relatively low threshold of agreement is considered acceptable.

Abstract
In this paper, we recover a graph interpretation of the mutual partition distance, proposed recently by Cardoso and Corte-Real. We deduce some properties of this measure, and establish a correspondence with the partition distance introduced by Almudevar and Field and Gusfield, and independently by Guigues. We also present some different formulations for the computation of the mutual partition distance. Finally, a comparison is made with similar measures.