Optimization of Mel-Frequency Cepstral Coefficients for Automatic Gunshot Detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU134021" target="_blank" >RIV/00216305:26220/19:PU134021 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Optimization of Mel-Frequency Cepstral Coefficients for Automatic Gunshot Detection
Original language description
Mel-frequency cepstral coefficients (MFCCs) are features widely used in tasks such as sound event detection (SED), speech recognition or other audio processing problems. This paper explores various ways of modification MFCCs in order to achieve optimal detection results for gunshot detection task. The paper focuses especially on frequency scale and bandwidth, number of filter banks and filter bank shape. The final results achieve recognition performance of 98.7 true negative rate (TNR) and 84.8 true positive rate (TPR).
Czech name
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Czech description
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Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of IEEE Student Branch Conference Mikulov 2019
ISBN
978-80-214-5781-2
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
46-48
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Mikulov, Czech republic
Event date
Sep 9, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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