Speech Recognition Using Deep Neural Networks: A Systematic Review
Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
Speech recognition, deep neural network, systematic review
Abstract
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. However, in the past few years,
research has focused on utilizing deep learning for speech-related applications. This new area of machine
learning has yielded far better results when compared to others in a variety of applications including speech,
and thus became a very attractive area of research. This paper provides a thorough examination of the
different studies that have been conducted since 2006, when deep learning first arose as a new area of
machine learning, for speech applications. A thorough statistical analysis is provided in this review which
was conducted by extracting specific information from 174 papers published between the years 2006 and
2018. The results provided in this paper shed light on the trends of research in this area as well as bring focus
to new research topics.
Description
Keywords
Speech recognition, deep neural network, systematic review
Citation
Nassif, A.B. et al. (2019) “Speech Recognition Using Deep Neural Networks: A Systematic Review,” IEEE Access, 7.