The classification of human's age and gender from speech and face images is a challenging
task that has important applications in real-life and its applications are expected to grow …

In this paper, we examine the use of i-vectors both for age regression as well as for age
classification. Although i-vectors have been previously used for age regression task, we …

Speaker age and gender classification is one of the most challenging problems in speech
signal processing. Recently with develo** technologies, identifying speaker age and …

In the present exploratory study, we investigated acoustic–phonetic measures of spoken
vowels for detection of female speech under conditions of stress. Eight authentic recorded …

People use their voices to communicate not only verbally but also emotionally. This article
presents theories and methodologies that concern emotional vocalizations at the …

Automatic or semi-automatic recognition of selected emotions using Machine Learning (ML)
algorithms requires practical, fast and accurate implementation of the steps involved in …

The purpose of this article is to measure and evaluate commonly identified, yet rather
inconsistent, acoustic correlates of speech under stress from authentic emergency call …

This paper addresses gender recognition from telephone speech in emergency situations. A
speech corpus of emergency phone calls is characterized by loud background noise …

The Lombard effect is a phenomenon that results in speech intelligibility improvement when
applied to noise. There are many distinctive features of Lombard speech that were recalled …

In this paper we propose a fraud-aware security architecture framework for improved
telephone banking experience that enables easy set-up of framework in real environment …