Single- and multi-channel whistle recognition with NAO robots

Kyle Poore, Saminda Abeyruwan, Andreas Seekircher, Ubbo Visser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


We propose two real-time sound recognition approaches that are able to distinguish a predefined whistle sound on a NAO robot in various noisy environments. The approaches use one, two, and four microphone channels of a NAO robot. The first approach is based on a frequency/band-pass filter whereas the second approach is based on logistic regression. We conducted experiments in six different settings varying the noise level of both the surrounding environment and the robot itself. The results show that the robot will be able to identify the whistle reliability even in very noisy environments.

Original languageEnglish (US)
Title of host publicationRoboCup 2014 - Robot World Cup XVIII
EditorsKomei Sugiura, H. Levent Akin, Reinaldo A.C. Bianchi, Subramanian Ramamoorthy
PublisherSpringer Verlag
Number of pages13
ISBN (Electronic)9783319186146
StatePublished - 2015
Event18th Annual RoboCup International Symposium, RoboCup 2014 - Joao Pessoa, Brazil
Duration: Jul 19 2014Jul 24 2014

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
ISSN (Print)0302-9743


Other18th Annual RoboCup International Symposium, RoboCup 2014
CityJoao Pessoa

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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