At the time of writing this article, the world population is suffering from more than 2 million
registered COVID-19 disease epidemic-induced deaths since the outbreak of the corona …

Creating voice control for robots is very important and difficult task. Therefore, we consider
different systems of speech recognition. We divided them into two main classes:(1) open …

Abstract English is one of the widely used languages, with the shrinking of the global village,
the smart home, the in-vehicle voice system and voice recognition software with English as …

This paper is a part of our contributions to research on the ongoing COVID-19 pandemic
around the world. This research aims to use Hidden Markov Model (HMM) based automatic …

Computer audition (CA) has experienced a fast development in the past decades by
leveraging advanced signal processing and machine learning techniques. In particular, for …

This paper describes the performance of Amazigh speech recognition via an interactive
voice response in noisy conditions. The experiments were first conducted for the uncoded …

Building efficient acoustic models for dialects is a major challenge in Automatic Speech
Recognition (ASR) systems. In this paper, we investigate the Moroccan Fessi dialect speech …

Emotion speech recognition becomes the important part of signal processing research area.
Many useful applications have been supported by emotion speech recognition. This study …

In this work, we offer a new approach to integrating the Amazigh language, which is a less-
resourced language, into an isolated speech recognition system by exploiting the Kaldi …

As part of our contributions to researches on the ongoing COVID-19 pandemic worldwide,
we have studied the cough changes to the infected people based on the Hidden Markov …