TY - JOUR
T1 - Ecology & computer audition
T2 - Applications of audio technology to monitor organisms and environment
AU - Schuller, Björn W.
AU - Akman, Alican
AU - Chang, Yi
AU - Coppock, Harry
AU - Gebhard, Alexander
AU - Kathan, Alexander
AU - Rituerto-González, Esther
AU - Triantafyllopoulos, Andreas
AU - Pokorny, Florian B.
N1 - Publisher Copyright:
© 2023
PY - 2024/1/15
Y1 - 2024/1/15
N2 - Among the 17 Sustainable Development Goals (SDGs) proposed within the 2030 Agenda and adopted by all the United Nations member states, the 13th SDG is a call for action to combat climate change. Moreover, SDGs 14 and 15 claim the protection and conservation of life below water and life on land, respectively. In this work, we provide a literature-founded overview of application areas, in which computer audition – a powerful but in this context so far hardly considered technology, combining audio signal processing and machine intelligence – is employed to monitor our ecosystem with the potential to identify ecologically critical processes or states. We distinguish between applications related to organisms, such as species richness analysis and plant health monitoring, and applications related to the environment, such as melting ice monitoring or wildfire detection. This work positions computer audition in relation to alternative approaches by discussing methodological strengths and limitations, as well as ethical aspects. We conclude with an urgent call to action to the research community for a greater involvement of audio intelligence methodology in future ecosystem monitoring approaches.
AB - Among the 17 Sustainable Development Goals (SDGs) proposed within the 2030 Agenda and adopted by all the United Nations member states, the 13th SDG is a call for action to combat climate change. Moreover, SDGs 14 and 15 claim the protection and conservation of life below water and life on land, respectively. In this work, we provide a literature-founded overview of application areas, in which computer audition – a powerful but in this context so far hardly considered technology, combining audio signal processing and machine intelligence – is employed to monitor our ecosystem with the potential to identify ecologically critical processes or states. We distinguish between applications related to organisms, such as species richness analysis and plant health monitoring, and applications related to the environment, such as melting ice monitoring or wildfire detection. This work positions computer audition in relation to alternative approaches by discussing methodological strengths and limitations, as well as ethical aspects. We conclude with an urgent call to action to the research community for a greater involvement of audio intelligence methodology in future ecosystem monitoring approaches.
KW - Audio technology
KW - Call to action
KW - Computer audition
KW - Ecology
KW - Environment
KW - Organism
UR - http://www.scopus.com/inward/record.url?scp=85179492701&partnerID=8YFLogxK
U2 - 10.1016/j.heliyon.2023.e23142
DO - 10.1016/j.heliyon.2023.e23142
M3 - Review article
AN - SCOPUS:85179492701
SN - 2405-8440
VL - 10
JO - Heliyon
JF - Heliyon
IS - 1
M1 - e23142
ER -