Recently great strides have been made in the field of automatic speech recognition (ASR) by
using various deep learning techniques. In this study, we present a thorough comparison …

Over the past decades, extensive research has been carried out on various possible
implementations of automatic speech recognition (ASR) systems. The most renowned …

Audio segmentation is a basis for multimedia content analysis which is the most important
and widely used application nowadays. An optimized audio classification and segmentation …

This research work is aimed at speech recognition using scaly neural networks. A small
vocabulary of 11 words were established first, these words are “word, file, open, print, exit …

The automatic speech recognition (ASR) is a field of research that has been emerged in the
early 1950s, and has been used in the literature for convenient and efficient human-machine …

Voice based applications are ruling over the era of automation because speech has a lot of
factors that determine a speakers information as well as speech. Modern Automatic Speech …

Now-a-days, multimedia content analysis occupies an important place in widely used
applications. It may depend on audio segmentation which is one of the many other tools …

The present thesis aims to describe the work performed during the internship for the master's
degree in Linguistics at VoiceInteraction, an international Artificial Intelligence (AI) company …

Este artigo descreve os métodos de pré-processamento linguístico em sistemas híbridos
fornecidos por uma empresa internacional de Inteligência Artificial (IA), a Defined. ai. A …

One of the most fast-growing and highly promising uses of natural language technology is in
Speech Technologies. Such systems use automatic speech recognition (ASR) and text-to …