Quantum mechanics

Engineering

Neuroscience

Biology

Event (particle physics)

Cognition

Systems engineering

Sound (geography)

Computer science

Acoustics

Auditory event

Physics

Task (project management)

Mathematics

Domain (mathematical analysis)

Mathematical analysis

Artificial intelligence

Polyphony

Speech recognition

IEEE Access

One of the most amazing functions of the human auditory system is the ability to detect all kinds of sound events in the environment. With the technologies and hardware advances, polyphonic Sound Event Detection (SED) can be developed to mimic the ability of the human auditory system. However, the development of a SED system is no trivial task, and several different factors often hinder accuracy. Although there are several overview papers available, most of them only provide a theoretical overview of algorithms used with little discussion. Thus, to the best of the authors' knowledge, there is no comprehensive review that covers this particular domain. Therefore, this paper aims to provide an in-depth discussion of different methodologies proposed by various authors that include the features used, detection algorithms, and their corresponding accuracy and limitations. Additional information on possible trends is also discussed that can be useful for future development works.

A Comprehensive Review of Polyphonic Sound Event Detection