In this paper, a system, developed for speech encoding, analysis, synthesis and gender identification is presented. A typical gender recognition system can be divided into front-end system and back-end system. The task of the front-end system is to extract the gender related information from a speech signal and represents it by a set of vectors called feature. Features like power spectrum densi...

Recent research suggests that colorization models have the capability of generating plausible color versions from grayscale images. In this paper, we investigate whether colorization prior to gender classification improves classification performance on the FERET grayscale face dataset. For this, we colorize the images using an existing Lab colorization model, both with and without class rebalan...

Abstract Based on theoretical literature identity, difference, recognition, and social movements, this article aims to investigate how indigenous women's movements in Brazil are articulated. It also investigates the manners which fight against gender-based violence is debated within these movements. Initially, research points out difficulty identity recognition field for peoples. Secondly, it s...

Gender is an important demographic attribute of people. This paper provides a survey of human gender recognition in computer vision. A review of approaches exploiting information from face and whole body (either from a still image or gait sequence) is presented. We highlight the challenges faced and survey the representative methods of these approaches. Based on the results, good performance ha...

We introduce the task of vocalist gender recognition in popular music and evaluate the benefit of Non-Negative Matrix Factorization based enhancement of melodic components to this aim. The underlying automatic separation of drum beats is described in detail, and the obtained significant gain by its use is verified in extensive test-runs on a novel database of 1.5 days of MP3 coded popular songs...

This paper proposes a robust approach for face detection and gender classification in color images. Previous researches about gender recognition suppose an expensive computational and time-consuming pre-processing step in order to alignment in which face images are aligned so that facial landmarks like eyes, nose, lips, chin are placed in uniform locations in image. In this paper, a novel techn...

This paper describes two new methods, online speech detection and dual-gender speech recognition, for captioning broadcast news. The proposed online speech detection performs dualgender phoneme recognition and detects a start-point and an end-point based on the ratio between the cumulative phoneme likelihood and the cumulative non-speech likelihood with a very small delay from the audio input. ...

Nowadays research has expanded to extracting auxiliary information from various biometric techniques like fingerprints, face, iris, palm and voice . This information contains some major features like gender, age, beard, mustache, scars, height, hair, skin color, glasses, weight, facial marks and tattoos. All this information contributes strongly to identification of human. The major challenges ...

A continuing question in the object recognition literature is whether surface properties play a role in visual representation and recognition. Here, we examined the use of color as a cue in facial gender recognition by applying a version of reverse correlation to face categorization in CIE L*a*b* color space. We found that observers exploited color information to classify ambiguous signals embe...