This study aims at investigating the interface between emotion and intonation patterns (more specifically, duration and pitch amplitude of speech). To this end, the acoustic properties of spectral parameters related to speech prosody are investigated. The results of acoustic and Statistical analysis show that mean level and range of FO in the contours vary strongly as a function of the degree o...

Human observers can correctly attribute changes in the appearance of a scene either to changes in the incident light or to changes in the spectral-reflectance properties of the scene. This ability was assessed as a function of the time course of illuminant and spectral-reflectance changes. Observers were presented with computer simulations of Mondrian patterns of 49 randomly selected Munsell pa...

We present a spectral mapping technique for semisupervised pattern classification. Importance scores of features are firstly evaluated with a semi-supervised feature selection algorithm by Zhao et al. Training data are then embedded into a low-dimensional space with a spectral mapping derived from the selected and weighted feature vectors with which test data are classified by the nearest neigh...

he power spectrum reveals the existence, or the absence, of repetitive patterns and correlation structures in a signal process. These structural patterns are important in a wide range of applications such as data forecasting, signal coding, signal detection, radar, pattern recognition, and decision-making systems. The most common method of spectral estimation is based on the fast Fourier transf...

Interpreting spectral images requires comparing known patterns with input data (images) to identify which patterns are contained in the input data. In practice, however, it is hard to identify any pattern when the inaccuracy of input data is not slight. In this paper, we present a method for interpreting spectral images by using qualitative reasoning. First, we put forward a new concept called ...

Speaker Identification has been a subject of active research for many years, and has many potential applications where propriety of information is a concern. In this project, a speaker identification system that automatically classifies different speakers based on features extracted from speech waveforms has been implemented. Features used are the power in different frequency subbands of dyadic...