Abstract Machine learning methods are extensively used for processing and analysing
speech signals by virtue of their performance gains over multiple domains. Deep learning …

With the recent developments of technology and the advances in artificial intelligence and
machine learning techniques, it has become possible for the robot to understand and …

Paralinguistic analysis is increasingly turning into a mainstream topic in speech and
language processing. This article aims to provide a broad overview of the constantly …

In personal identity recognition systems, detecting a person's age, gender, and language
using voice signal characteristics is a crucial issue, especially because of the importance of …

The paper presents a novel automatic speaker age and gender identification approach
which combines seven different methods at both acoustic and prosodic levels to improve the …

Despite being extensively studied in the literature, the problem of gender recognition from
face images remains difficult when dealing with unconstrained images in a cross-dataset …

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 …

It is not difficult to estimate the gender of the human from other people's audio files. In
general, people can easily identify the gender of the owner of a conversation with the …

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 …

Speaker age and gender classification is one of the most challenging problems in speech
processing. Although many studies have been carried out focusing on feature extraction and …