In this study, a frame-based vocal effort likelihood space modeling framework for improved whisper-island detection within normally phonated audio streams is proposed. The proposed method is based on first training a traditional Gaussian mixture model for whisper and neutral speech, which is then employed to extract a newly proposed discriminative feature set entitled Vocal Effort Likelihood (V...

We consider statistical models which have been proposed for luminosity distributions for the globular clusters in the Milky Way and M31. Although earlier research showed that the cluster luminosity functions in those two galaxies were well fit by Gaussian distributions, subsequent investigations suggested that their luminosities were better fit by t-, rather than Gaussian, distributions. By app...

We study marginal and relevant supersymmetric deformations of the N = 4 super-Yang-Mills theory in four dimensions. Our primary innovation is the interpretation of the moduli spaces of vacua of these theories as non-commutative spaces. The construction of these spaces relies on the representation theory of the related quantum algebras, which are obtained from F -term constraints. These field th...

With this lecture we commence the fourth part of the course. In the last two parts we took incentive constraints, like DSIC or BIC, as a hard constraint, and subject to this designed the best mechanisms possible. Most of the mechanisms discussed were quite complex — interesting as proofs of concept of what is possible in principle, but not suitable for actual use. This part of the course insist...

We compute the three point functions of Neveu–Schwarz primary fields of the minimal models on the sphere when coupled to supergravity in two dimensions. The results show that the three point correlation functions are determined by the scaling dimensions of the fields, as in the bosonic case. ⋆ Work supported in part by the National Science Foundation grant PHY–89–15286. † email: [email protected]...

This article introduces a nested clustering technique and its application to the analysis of freeway operating condition. A clustering model is developed using the traffic data (flow, speed, occupancy) collected by the detectors and aggregated to 5-minute increments. An optimum fit of the statistical characteristics of the data set is provided by the model based on the Bayesian Information Crit...

This paper presents segmentation of multi-speaker meeting audio into four different classes: local speech, crosstalk, overlapped speech and non-speech sounds. Firstly, Bayesian Information Criterion (BIC) segmentation method is used to pre-segment the meeting according to speaker changing points. Then, harmonicity information is integrated into acoustic features to differentiate speech from non...

An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of their ability to explain the image. A method based on this approach is described in which lattice hypotheses are generated using analysis of peaks in the image autocorrelation function, statistical models are based on ...