BACKGROUND Automatic speech recognition is an important technology that can be used
in mobile devices and other devices. In general, automatic speech recognition attempts to …

Age estimation from speech has recently received increased interest as it is useful for many
applications such as user-profiling, targeted marketing, or personalized call-routing. This …

A speech signal contains important paralinguistic information, such as the identity, age,
gender, language, accent, and the emotional state of the speaker. Automatic recognition of …

The limited battery capacity of sensor nodes has become the biggest impediment to wireless
sensor network (WSN) applications. Two recent breakthroughs in the areas of wireless …

This paper analyses the performance of different types of Deep Neural Networks to jointly
estimate age and identify gender from speech, to be applied in Interactive Voice Response …

In this paper, three utterance modelling approaches, namely Gaussian Mean Supervector
(GMS), i-vector and Gaussian Posterior Probability Supervector (GPPS), are applied to the …

Many paralinguistic applications of speech demand the extraction of information about the
speaker characteristics from as little speech data as possible. In this work, we explore the …

Estimating a speaker's age from their speech is more challenging than age estimation from
their face because of insufficiently available public corpora. To tackle this problem, we …

Automatic height and age prediction of a speaker has a wide variety of applications in
speaker profiling, forensics etc. Often in such applications only a few seconds of speech …

Automatic age estimation from speech has a variety of applications including natural human-
computer interaction, targeted advertising, customer-agent pairing in call centers, and …