Dynamic analysis of software systems produces behavioral models that are useful for
analysis, verification and testing. The main techniques for extracting models of functional …

In an attempt to increase the robustness of automatic speech recognition (ASR) systems, a
feature extraction scheme is proposed that takes spectro-temporal modulation frequencies …

This paper presents a new feature extraction technique for speaker recognition using Radon
transform (RT) and discrete cosine transform (DCT). The spectrogram is compact, efficient in …

The objective of this research is to develop feature extraction and classification techniques
for the task of sound event recognition (SER) in unstructured environments. Although this …

Farm detection using low resolution satellite images is an important part of digital agriculture
applications such as crop yield monitoring. However, it has not received enough attention …

The classification of emotional speech is mostly considered in speech-related research on
human-computer interaction (HCI). In this paper, the purpose is to present a novel feature …

In this paper, we present a novel texture image feature for Emotion Sensing in Speech
(ESS). This idea is based on the fact that the texture images carry emotion-related …

Emerging memcapacitive nanoscale devices have the potential to perform computations in
new ways. In this article, we systematically study, to the best of our knowledge for the first …

We present new methods that extract characteristic features from speech magnitude
spectrograms. Two of the presented approaches have been found particularly efficient in the …

Over the past two decades several hierarchical learning models have been developed and
applied to a diverse range of practical tasks with much success. Little is known, however, as …