The aim of the study is to validate hyperspectral ground data for the detection of buried architectural remains. For this reason spectro-radiometric measurements were taken from an archaeological area in Cyprus. Field spectroradiometric measurements were undertaken from March to May of 2010. Spectro-radiometric measurements were taken over the previously detected magnetic anomalies using the GE...

This article presents and technically describes a new field spectro-goniometer system for the ground-based characterization of the surface reflectance anisotropy under natural illumination conditions developed at the Alfred Wegener Institute (AWI). The spectro-goniometer consists of a Manual Transportable Instrument platform for ground-based Spectro-directional observations (ManTIS), and a hype...

Feature extraction for Acoustic Bird Species Classification (ABSC) tasks has traditionally been based on parametric representations that were specifically developed for speech signals, such as Mel Frequency Cepstral Coefficients (MFCC). However, the discrimination capabilities of these features for ABSC could be enhanced by accounting for the vocal production mechanisms of birds, and, in partic...

This paper investigates the contribution of features which convey long-term spectro-temporal (ST) information for the purpose of automatic emotional speech classification. The ST representation is obtained by means of a modulation filterbank decomposition of long-term temporal envelopes of the outputs of a gammatone filterbank. The two-dimensional discrete cosine transform is used to reduce the...

In this study, modulation spectral features (MSFs) are proposed for the automatic recognition of human affective information from speech. The features are extracted from an auditory-inspired long-term spectro-temporal representation. Obtained using an auditory filterbank and a modulation filterbank for speech analysis, the representation captures both acoustic frequency and temporal modulation ...

This paper expands our previous work on automatic pronunciation error detection that exploits knowledge from psychoacoustic auditory models. The new system has two additional important features, i.e., auditory and acoustic processing of the temporal cues of the speech signal, and classification feedback from a trained linear dynamic model. We also perform a pronunciation analysis by considering...

BACKGROUND/AIMS In exploring human factors, stereoscopic 3D images have been used to investigate the neural responses associated with excessive depth, texture complexity, and other factors. However, the cortical oscillation associated with the complexity of stereoscopic images has been studied rarely. Here, we demonstrated that the oscillatory responses to three differently shaped 3D images (ci...