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 …

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 …

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 …

The continuous development in Automatic Speech Recognition has grown and
demonstrated its enormous potential in Human Interaction Communication systems. It is …

Automatic language identification has always been a challenging issue and an important
research area in speech signal processing. It is the process of identifying a language from a …

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 …

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 …

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 …

Over the past few decades, there has been tremendous development in machine learning
paradigms used in automatic speech recognition (ASR) for home automation to space …

Up to now, various methods are used for Automatic Speech Recognition (ASR), and among
which the Hidden Markov Model (HMM) and Artificial Neural Networks (ANNs) are the most …