Model validation constitutes a fundamental step in data clustering. The central question is: Which cluster model and how many clusters are most appropriate for a certain application? In this study, we introduce a method for the validation of spectral clustering based upon approximation set coding. In particular, we compare correlation and pairwise clustering to analyze the correlations of tempo...

Change detection within an audio stream is an important task in several domains, such as classification and segmentation of a sound or of a music piece, as well as indexing of broadcast news or surveillance applications. In this paper we propose two novel methods for spectral change detection without any assumption about the input sound: they are both based on the evaluation of information meas...

Scientific efforts to observe the state of natural systems over time, allowing the prediction of future states, have led to a burgeoning interest for organised storage of spectral field data and associated metadata, seen as being key to the successful and efficient modeling of such systems. A centralised system for such data established for the Australian remote sensing community aims to standa...

Spectral information can be used for many CAD system tasks including synthesis, verification and test vector generation. We analyze the problem of extracting spectral information from Boolean and multi-valued logic netlists. It is shown that spectral information may be calculated directly from output probabilities and a method for extracting output probabilities from general graphs is described...

The work described in this thesis examined a new approach to speech enhancement. Enhancement algorithms to estimate clean speech from a noisy signal and a limited amount of side information were developed and implemented. The work evaluated algorithms that used linear predicitive (LP) coefficients and zero-phase impulse response coefficients as side information. An approximate maximum likelihoo...

The majority of current speech coding algorithms for medium-to-low bit rates transmit two information components, a short-time specuum estimate aud an excitation signal. Even though advanced intmframe quantization schemes have been proposed, the spectml informationstillconsumesalargeproportionoftheavailable bit rate. For many speech sounds, the speech speurum is relatively smooth for time inter...

This work presents a biologically motivated neuronal model for detecting the elevation of unfamiliar natural sound sources using monoaural cues, based on head-related-transfer functions. This model can determine the elevation of an unfamiliar sound source to within less than 43 with no error using very small number of training samples. In addition, we suggest that the approximate logarithmic re...