The first step in performing colour-based segmentation is choosing an appropriate colour space in which to operate from the wide variety of choices such as RGB, HSV, CMYK, YCbCr, etc [1]. Of these, RGB (red-greenblue) and HSV (hue-saturation-value) have been the most widely used. Figure 1 illustrates the geometries of the two spaces. By way of example, HSV representation has certain advantages ...

In a cross-modal (auditory-visual) fragment priming study in French, we tested the hypothesis that gender information given by a gender-marked article (e.g. unmasculine or unefeminine) is used early in the recognition of the following word to discard gender-incongruent competitors. In four experiments, we compared lexical decision performances on targets primed by phonological information only ...

An automatic gender recognition algorithm based on machine learning methods is proposed. It consists of two stages: adaptive feature extraction and support vector machine classification. Both training technique of the proposed algorithm and experimental results acquired on a large image dataset are presented.

Business is demanding higher recognition accuracy with no increase in computation time compared to previously adopted baseline speech recognition systems. Accuracy can be improved by adding a gender dependent acoustic model and unsupervised adaptation based on CMLLR (Constrained Maximum Likelihood Linear Regression). CMLLR-based batch-type unsupervised adaptation estimates a single global trans...

As part of an epidemiologic study of hearing disorders in older adults, word recognition performance (NU-6 word lists in quiet and in competing message) was evaluated for 3189 adults grouped by age (48-59 years, n = 1176; 60-69 years, n = 979; 70-79 years, n = 794; 80-92 years, n = 240). Overall, scores for all measures were worse for older age groups and worse for men than for women. Word reco...

Prior research has demonstrated a female own-gender bias in face recognition, with females better at recognizing female faces than male faces. We explored the basis for this effect by examining the effect of divided attention during encoding on females' and males' recognition of female and male faces. For female participants, divided attention impaired recognition performance for female faces t...

introduction: according to role of emotions in human’s life, if they can be recognized contemporary with facial expression by eeg signals, it can discriminate between real abd artificial emotions. this ability can be applied in lie detector and be also helpful to patients that able to feel emotions but can’t show it with facial expression. methods: in this study, some emotion induction experime...

Face aftereffects are proving to be an effective means of examining the properties of face-specific processes in the human visual system. We examined the role of gender in the neural representation of faces using a contrast-based adaptation method. If faces of different genders share the same representational face space, then adaptation to a face of one gender should affect both same- and diffe...

The paper presents the simple technique of speaker gender recognition that uses MFCC features typically applied in automatic speech recognition. Artificial neural network is used as a classifier. The speech signal is first divided into 20 ms frames. For each frame, Mel-Frequency Cepstral Coefficients are extracted and the created feature vector is provided into a neural network classifier, whic...

This study examines the extent to which word recognition is influenced by the information of grammatical gender given by the French singular definite article (le/la). More specifically, the focus is on auditory word recognition when words are in the final noun phrase in a Subject Verb Object (SVO) sentence. We compared the gender effect with that of the semantic information of the verb in order...