Acoustic event filterbank for enabling robust event recognition by cleaning robot

Sangwook Park, Woohyun Choi, David K. Han, Hanseok Ko

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


Due to its mobile capability when performing house-cleaning function in absence of home owners, a cleaning robot has sufficient capacity to be fully utilized as an automatic surveillance system for indoor security. While many research efforts have been made recently to provide a robot understand the auditory environment, there are still many obstacles to overcome. One of the most serious challenges encountered in providing accurate auditory scene analysis is the presence of robot ego noise. Robot ego noise is primarily generated by the embedded motors on a robot during its operation. This paper proposes a new filterbank design based on discriminative distances within event-to-noise and event-to-event, respectively. The proposed filterbank essentially is designed to provide reliable recognition under cleaning robot ego noise through the result of event spectrum analysis. The experimental results indicate that the features extracted by the proposed filterbank are more robust than the conventional ones.

Original languageEnglish
Article number7150593
Pages (from-to)189-196
Number of pages8
JournalIEEE Transactions on Consumer Electronics
Issue number2
Publication statusPublished - 2015 May

Bibliographical note

Publisher Copyright:
© 1975-2011 IEEE.


  • Acoustic event recognition
  • Robust feature extraction
  • and cleaning robot platform

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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