EAR-TUKE: The Acoustic Event Detection System

  • Martin Lojka
  • Matúš Pleva
  • Eva Kiktová
  • Jozef Juhár
  • Anton Čižmár
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 429)


This paper introduces acoustic events detection system capable of processing continuous input audio stream in order to detect potentially dangerous acoustic events. The system is representing a light, easy extendable, log-term running and complete solution to acoustic event detection. The system is based on its own approach to detection and classification of acoustic events using modified Viterbi decoding process using in combination with Weighted Finite-State Transducers (WFSTs) to support extensibility and acoustic modeling based on Hidden Markov Models (HMMs). Thesystem is completely programmed in C++ language and was designed to be self sufficient and to not require any additional dependencies. Additionally also a signal preprocessing part for feature extraction of Mel-Frequency Cepstral Coefficient(MFCC), Frequency Bank Coefficient (FBANK) and Mel-Spectral Coefficient (MELSPEC) is included. For robustness increase the system contains Cepstral Mean Normalization (CMN) and our proposed removal of basic coefficients from feature vector.


Acoustic Event Detection Weighted Finite-State Transducers Continuous Monitoring of Large Urban Areas 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Martin Lojka
    • 1
  • Matúš Pleva
    • 1
  • Eva Kiktová
    • 1
  • Jozef Juhár
    • 1
  • Anton Čižmár
    • 1
  1. 1.Dept. of Electronics and Multimedia Communications, FEI TU KošiceTechnical University of KošiceKošiceSlovak Republic

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