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 …

Over the past decades, a particular focus is given to research on machine learning
techniques for speech processing applications. However, in the past few years, research …

Speech recognition is a natural language processing task that involves the computerized
transcription of spoken language in real time. Numerous studies have been conducted on …

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, a tremendous amount of research has been done on the use of
machine learning for speech processing applications, especially speech recognition …

Abstract Deep Neural Networks (DNN) are nothing but neural networks with many hidden
layers. DNNs are becoming popular in automatic speech recognition tasks which combines …

In this modern era, language has no geographic boundary. Therefore, for developing an
automated system for search engines using audio, tele-medicine, emergency service via …

In recent years, China, the United States and other countries, Google and other high-tech
companies have increased investment in artificial intelligence. Deep learning is one of the …

Deep neural networks (DNNs) have been playing a significant role in acoustic modeling.
Convolutional neural networks (CNNs) are the advanced version of DNNs that achieve 4 …

Arabic automatic speech recognition (ASR) methods with diacritics have the ability to be
integrated with other systems better than Arabic ASR methods without diacritics. In this work …