Infant crying analysis is an important tool for identifying different pathologies at a very early
stage of the life of a baby. Being able to perform this task with high accuracy is therefore …

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 …

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 …

The estimation of speaker characteristics such as age and height is a challenging task,
having numerous applications in voice forensic analysis. In this work, we propose a bi …

Analysis of infants cries may help in identifying the needs of infants such as hunger, pain,
sickness, etc and thereby develop a tool or possible mobile application that can help the …

Cry as the only way of communication of babies with the surrounding environment can be
happened for many reasons such as diseases, suffocation, hunger, cold and heat feeling …

The automatic estimation of speaker characteristics, such as height, age, and gender, has
various applications in forensics, surveillance, customer service, and many human-robot …

Conventional approaches to estimating speakers' physiometric parameters such as height,
age, weight etc. from their voice analyze the speech signal at relatively coarse time …

We present a deep learning based algorithm for speaker recognition from degraded audio
signals. We use the commonly employed Mel-Frequency Cepstral Coefficients (MFCC) for …

An important application of speaker recognition is forensics. However, the accuracy of
speaker recognition in forensic cases often drops off rapidly because of the ill effect of …