Single- and multi-channel whistle recognition with NAO robots

Kyle Poore; Saminda Abeyruwan; Andreas Seekircher; Ubbo Visser

doi:10.1007/978-3-319-18615-3_20

Single- and multi-channel whistle recognition with NAO robots

Kyle Poore, Saminda Abeyruwan, Andreas Seekircher, Ubbo Visser

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

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 language	English (US)
Title of host publication	RoboCup 2014 - Robot World Cup XVIII
Editors	Komei Sugiura, H. Levent Akin, Reinaldo A.C. Bianchi, Subramanian Ramamoorthy
Publisher	Springer Verlag
Pages	245-257
Number of pages	13
ISBN (Electronic)	9783319186146
DOIs	https://doi.org/10.1007/978-3-319-18615-3_20
State	Published - 2015
Event	18th Annual RoboCup International Symposium, RoboCup 2014 - Joao Pessoa, Brazil Duration: Jul 19 2014 → Jul 24 2014

Publication series

Name	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	8992
ISSN (Print)	0302-9743

Other

Other	18th Annual RoboCup International Symposium, RoboCup 2014
Country/Territory	Brazil
City	Joao Pessoa
Period	7/19/14 → 7/24/14

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-18615-3_20

Cite this

Poore, K., Abeyruwan, S., Seekircher, A., & Visser, U. (2015). Single- and multi-channel whistle recognition with NAO robots. In K. Sugiura, H. Levent Akin, R. A. C. Bianchi, & S. Ramamoorthy (Eds.), RoboCup 2014 - Robot World Cup XVIII (pp. 245-257). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 8992). Springer Verlag. https://doi.org/10.1007/978-3-319-18615-3_20

Single- and multi-channel whistle recognition with NAO robots. / Poore, Kyle; Abeyruwan, Saminda; Seekircher, Andreas; Visser, Ubbo.

RoboCup 2014 - Robot World Cup XVIII. ed. / Komei Sugiura; H. Levent Akin; Reinaldo A.C. Bianchi; Subramanian Ramamoorthy. Springer Verlag, 2015. p. 245-257 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 8992).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Poore, K, Abeyruwan, S, Seekircher, A & Visser, U 2015, Single- and multi-channel whistle recognition with NAO robots. in K Sugiura, H Levent Akin, RAC Bianchi & S Ramamoorthy (eds), RoboCup 2014 - Robot World Cup XVIII. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 8992, Springer Verlag, pp. 245-257, 18th Annual RoboCup International Symposium, RoboCup 2014, Joao Pessoa, Brazil, 7/19/14. https://doi.org/10.1007/978-3-319-18615-3_20

Poore K, Abeyruwan S, Seekircher A, Visser U. Single- and multi-channel whistle recognition with NAO robots. In Sugiura K, Levent Akin H, Bianchi RAC, Ramamoorthy S, editors, RoboCup 2014 - Robot World Cup XVIII. Springer Verlag. 2015. p. 245-257. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)). https://doi.org/10.1007/978-3-319-18615-3_20

Poore, Kyle ; Abeyruwan, Saminda ; Seekircher, Andreas ; Visser, Ubbo. / Single- and multi-channel whistle recognition with NAO robots. RoboCup 2014 - Robot World Cup XVIII. editor / Komei Sugiura ; H. Levent Akin ; Reinaldo A.C. Bianchi ; Subramanian Ramamoorthy. Springer Verlag, 2015. pp. 245-257 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)).

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abstract = "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.",

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Single- and multi-channel whistle recognition with NAO robots

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