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main.tex
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main.tex
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\documentclass[twocolumn, 12pt]{article}
\usepackage[english]{babel}
\usepackage{booktabs}
\usepackage{color, colortbl}
\usepackage[labelfont=bf]{caption}
\usepackage[cm]{fullpage}
\usepackage{graphicx}
\usepackage[utf8]{inputenc}
\usepackage[numbers]{natbib}
\usepackage{parskip}
\usepackage{subcaption}
\PassOptionsToPackage{hyphens}{url}
\usepackage[
colorlinks=true,
linkcolor=black,
anchorcolor=black,
citecolor=black,
filecolor=black,
menucolor=black,
runcolor=black,
urlcolor=black]{hyperref}
\definecolor{Gray}{gray}{0.9}
\setlength{\columnsep}{0.5cm}
\title{The History of Speech Recognition to the Year 2030}
\author{Awni Hannun\footnote{
Send correspondence to
\href{mailto:awni.hannun@gmail.com}{awni.hannun@gmail.com}}}
\date{\today}
\begin{document}
\maketitle
\begin{abstract}
The decade from 2010 to 2020 saw remarkable improvements in automatic
speech recognition. Many people now use speech recognition on a daily
basis, for example to perform voice search queries, send text messages, and
interact with voice assistants like Amazon Alexa and Siri by Apple. Before
2010 most people rarely used speech recognition. Given the remarkable
changes in the state of speech recognition over the previous decade, what
can we expect over the coming decade? I attempt to forecast the state of
speech recognition research and applications by the year 2030. While the
changes to general speech recognition accuracy will not be as dramatic as
in the previous decade, I suggest we have an exciting decade of progress in
speech technology ahead of us.
\end{abstract}
\input{recap}
\input{predicting_the_future}
\input{research_predictions}
\input{application_predictions}
\input{conclusion}
\section*{\large Acknowledgements}
Thanks to Chris Lengerich, Marya Hannun, Sam Cooper, and Yusuf Hannun for their
feedback on this article.
\bibliographystyle{plainnat}
\bibliography{references}
\end{document}