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Practical Inter-Floor Noise Sensing System with Localization and Classification.

Junho Son1, Chong-Min Kyung2, Hyuntae Cho3

  • 1Samsung Electronics, Hwasung-Si 18448, Korea.

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|August 24, 2019
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Summary
This summary is machine-generated.

A novel system accurately detects and localizes inter-floor noise in apartments. This technology measures noise levels, estimates source direction, and classifies noise types, aiding dispute resolution.

Keywords:
acoustic noise sensorinter-floor noisemicrophone arraysound classificationsound pressure levelsound source localization

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Area of Science:

  • Acoustics
  • Signal Processing
  • Machine Learning

Background:

  • Inter-floor noise is a significant social issue, often escalating to violence.
  • Existing methods for noise monitoring lack precision in localization and classification.
  • There is a need for an objective system to record and analyze noise incidents.

Purpose of the Study:

  • To propose and evaluate an inter-floor noise sensing system for apartments.
  • To accurately measure noise levels, estimate noise source direction, and classify noise types.
  • To provide reliable data for resolving inter-floor noise disputes.

Main Methods:

  • Utilized sound pressure level (SPL) for noise magnitude measurement.
  • Employed microphone arrays and time difference of arrival (TDOA) for noise source localization.
  • Extracted Mel frequency cepstral coefficients (MFCC) and zero-crossing rate (ZCR) for noise type classification using a k-nearest neighbor algorithm.

Main Results:

  • The system demonstrated reliable accuracy in real-world environments.
  • Achieved an approximate ±1.5 dB(A) error in noise level measurement.
  • Obtained an approximate ±10° error in direction estimation and over 75% accuracy in noise type classification.

Conclusions:

  • The developed inter-floor noise sensing system is effective and accurate.
  • The system provides valuable, objective data for inter-floor noise dispute cases.
  • This technology can contribute to mitigating social problems arising from noise disturbances.