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 …

This paper describes our experience to create a secure Telephony Amazigh Spoken System
over the network. The designed system was created by combining HMM automatic speech …

This paper deals with age prediction and gender distinction for Interactive Voice Response
system. The proposed algorithm uses a convolutional-recurrent neural network. A public …

Automatic speech emotion recognition plays an important role in intelligent human computer
interaction. Identifying emotion in natural, day to day, spontaneous conversational speech is …

Automatic speech recognition (ASR) is the process that concerns the permit of the machines
to accept speech input from humans and interpret it with the highest precision probability …

This paper aims to build an interactive speaker-independent automatic Amazigh speech
recognition system. The proposed system offers a methodology to extract data remotely from …

This paper deals with joint gender identification and age group classification from speech,
aimed at improving the functionalities of Interactive Voice Response Systems. Deep Neural …

Automatic and spontaneous speech emotion recognition is an important part of a human-
computer interactive system. However, emotion identification in spontaneous speech is …

Emotion recognition is important at the workplace because it impacts a multitude of
outcomes, such as performance, engagement and well-being. Emotion recognition from …

Estimating emotion from speech is an active and ongoing area of research, however most of
the literature addresses acted speech and not natural day to day conversational speech …