  The Coronavirus (COVID-19) pandemic has been the research focus world-wide in
the year 2020. Several efforts, from collection of COVID-19 patients' data to
screening them for the virus's detection are taken with rigour. A major portion
of COVID-19 symptoms are related to the functioning of the respiratory system,
which in-turn critically influences the human speech production system. This
drives the research focus towards identifying the markers of COVID-19 in speech
and other human generated audio signals. In this paper, we give an overview of
the speech and other audio signal, language and general signal processing-based
work done using Artificial Intelligence techniques to screen, diagnose,
monitor, and spread the awareness aboutCOVID-19. We also briefly describe the
research related to detect accord-ing COVID-19 symptoms carried out so far. We
aspire that this collective information will be useful in developing automated
systems, which can help in the context of COVID-19 using non-obtrusive and easy
to use modalities such as audio, speech, and language.
