Real-Time Sound Event Detection With Python
Tuunanen, Tuomo (2020)
2020
Tietotekniikan DI-ohjelma - Master's Programme in Information Technology
Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences
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Hyväksymispäivämäärä
2020-11-06
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202010127312
https://urn.fi/URN:NBN:fi:tuni-202010127312
Tiivistelmä
Python is a popular programming language for rapid research prototyping in various research fields, owing it to the massive repository of well-maintained 3rd party packages, built-in capabilities of the language and strong community. This work investigates the feasibility of Python for the task of performing sound event detection (SED) in real-time, which is important in demonstrating project research results to any interested parties or utilise it for practical purposes such as acoustic health care monitoring, e.g. in attempts to reduce the transmission of the COVID-19 disease.
The relevant background theory for detecting sound events based on a pre-determined sound recordings is first provided, which is followed by introduction to the basic of concepts that enable performing the same in real-time. Then, Python real-time system designs based on two related approaches are proposed and their feasibility is also evaluated with the help of corresponding reference system implementations. The results acquired with the implementations strongly suggest that Python is indeed very feasible for performing real-time SED, even when using a sophisticated model that possess 3.7M total parameters.
The relevant background theory for detecting sound events based on a pre-determined sound recordings is first provided, which is followed by introduction to the basic of concepts that enable performing the same in real-time. Then, Python real-time system designs based on two related approaches are proposed and their feasibility is also evaluated with the help of corresponding reference system implementations. The results acquired with the implementations strongly suggest that Python is indeed very feasible for performing real-time SED, even when using a sophisticated model that possess 3.7M total parameters.