Parameterisation of the glottal source has become increasingly useful for speech technology. For many applications it may be desirable to restrict the glottal source feature data to only speech regions where it can be reliably extracted. In this paper we exploit the previously proposed set of binary phonetic feature extractors to help determine optimal regions for glottal source analysis. Besid...

There are a lot of techniques relevant for the purpose automated leaf recognition for plant classification. Many algorithms have been introduced in the past decade and achieved good performance. Efforts have focused upon many other fields but properties of features have not been well investigated. A group of features is selected in advance but important feature properties are not well used to f...

We investigate acoustic modeling, feature extraction and feature selection for the problem of affective content recognition of generic, non-speech, non-music sounds. We annotate and analyze a database of generic sounds containing a subset of the BBC sound effects library. We use regression models, longterm features and wrapper-based feature selection to model affect in the continuous 3-D (arous...

This paper investigates perceptual relationships between art in the auditory and visual domains. First, we conducted a behavioral experiment asking subjects to assess similarity between 10 musical recordings and 10 works of abstract art. We found a significant degree of agreement across subjects as to which images correspond to which audio, even though neither the audio nor the images possessed...

Assessment of pavement distresses is one of the important parts of pavement management systems to adopt the most effective road maintenance strategy. In the last decade, extensive studies have been done to develop automated systems for pavement distress processing based on machine vision techniques. One of the most important structural components of computer vision is the feature extraction met...

Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...

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In this paper we combine image feature extraction with indexing techniques for eecient retrieval in large texture images databases. A 2D image signal is processed using a set of Gabor lters to derive a 120 component feature vector representing the image. The feature components are ordered based on the relative importance in characterizing a given texture pattern, and this facilitates the develo...

Feature extraction is one of the significant parts of image processing. In the literature, several research efforts have been proposed different feature extraction methods using edge detection, corner detection, etc. One of the key limitations of the existing approaches is the absence of an appropriate feature extraction method. In this paper, we therefore introduce a method of hand feature ext...