Cross-correlation function based two-sensor auditory localization unit for chat robots

Zhangtao Wang; Shaoping Wang; Xingjian Wang; Yida Niu

doi:10.1109/ICIEA.2018.8397879

Cross-correlation function based two-sensor auditory localization unit for chat robots

Zhangtao Wang
, Shaoping Wang
, Xingjian Wang^*
, Yida Niu

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

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

Abstract

This paper mainly focus on providing an auditory localization unit for robots. Due to auditory localization ability, human beings can turn their face to face the speaker when they are communicating with each other. This action can make communication more efficient and have a better mutual understanding. For robots, this ability will improve quality of their imaging processing and enhance voice recognition. In this paper, we designed a two-sensor auditory localization unit for robots. Firstly, we analyzed the mathematical model of different sound field, the far field and near field. Based on that, we analyzed features of received signal, for far sound field, we designed cross-correlation function algorithm to localize direction of the sound source using phase delay information, for near sound field, we designed cross-correlation function with amplitude attenuation information algorithm to get exact two-dimension location information. According to the results of simulation we made our prototype and based on the test results we got our actual performance data.

Original language	English
Title of host publication	Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1122-1127
Number of pages	6
ISBN (Electronic)	9781538637579
DOIs	https://doi.org/10.1109/ICIEA.2018.8397879
State	Published - 26 Jun 2018
Event	13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 - Wuhan, China Duration: 31 May 2018 → 2 Jun 2018

Publication series

Name	Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

Conference

Conference	13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
Country/Territory	China
City	Wuhan
Period	31/05/18 → 2/06/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

correlation function
microphone array
robot auditory
robot sensor
sound field analyze
sound localization

Access to Document

10.1109/ICIEA.2018.8397879

Cite this

Wang, Z., Wang, S., Wang, X., & Niu, Y. (2018). Cross-correlation function based two-sensor auditory localization unit for chat robots. In Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 (pp. 1122-1127). (Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2018.8397879

Wang, Zhangtao ; Wang, Shaoping ; Wang, Xingjian et al. / Cross-correlation function based two-sensor auditory localization unit for chat robots. Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1122-1127 (Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018).

@inproceedings{91cc3246676b418ebfa5404a0e31127a,

title = "Cross-correlation function based two-sensor auditory localization unit for chat robots",

abstract = "This paper mainly focus on providing an auditory localization unit for robots. Due to auditory localization ability, human beings can turn their face to face the speaker when they are communicating with each other. This action can make communication more efficient and have a better mutual understanding. For robots, this ability will improve quality of their imaging processing and enhance voice recognition. In this paper, we designed a two-sensor auditory localization unit for robots. Firstly, we analyzed the mathematical model of different sound field, the far field and near field. Based on that, we analyzed features of received signal, for far sound field, we designed cross-correlation function algorithm to localize direction of the sound source using phase delay information, for near sound field, we designed cross-correlation function with amplitude attenuation information algorithm to get exact two-dimension location information. According to the results of simulation we made our prototype and based on the test results we got our actual performance data.",

keywords = "correlation function, microphone array, robot auditory, robot sensor, sound field analyze, sound localization",

author = "Zhangtao Wang and Shaoping Wang and Xingjian Wang and Yida Niu",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 ; Conference date: 31-05-2018 Through 02-06-2018",

year = "2018",

month = jun,

day = "26",

doi = "10.1109/ICIEA.2018.8397879",

language = "英语",

series = "Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1122--1127",

booktitle = "Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018",

address = "美国",

}

Wang, Z, Wang, S , Wang, X & Niu, Y 2018, Cross-correlation function based two-sensor auditory localization unit for chat robots. in Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018. Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1122-1127, 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018, Wuhan, China, 31/05/18. https://doi.org/10.1109/ICIEA.2018.8397879

Cross-correlation function based two-sensor auditory localization unit for chat robots. / Wang, Zhangtao; Wang, Shaoping ; Wang, Xingjian et al.
Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1122-1127 (Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018).

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

TY - GEN

T1 - Cross-correlation function based two-sensor auditory localization unit for chat robots

AU - Wang, Zhangtao

AU - Wang, Shaoping

AU - Wang, Xingjian

AU - Niu, Yida

PY - 2018/6/26

Y1 - 2018/6/26

N2 - This paper mainly focus on providing an auditory localization unit for robots. Due to auditory localization ability, human beings can turn their face to face the speaker when they are communicating with each other. This action can make communication more efficient and have a better mutual understanding. For robots, this ability will improve quality of their imaging processing and enhance voice recognition. In this paper, we designed a two-sensor auditory localization unit for robots. Firstly, we analyzed the mathematical model of different sound field, the far field and near field. Based on that, we analyzed features of received signal, for far sound field, we designed cross-correlation function algorithm to localize direction of the sound source using phase delay information, for near sound field, we designed cross-correlation function with amplitude attenuation information algorithm to get exact two-dimension location information. According to the results of simulation we made our prototype and based on the test results we got our actual performance data.

AB - This paper mainly focus on providing an auditory localization unit for robots. Due to auditory localization ability, human beings can turn their face to face the speaker when they are communicating with each other. This action can make communication more efficient and have a better mutual understanding. For robots, this ability will improve quality of their imaging processing and enhance voice recognition. In this paper, we designed a two-sensor auditory localization unit for robots. Firstly, we analyzed the mathematical model of different sound field, the far field and near field. Based on that, we analyzed features of received signal, for far sound field, we designed cross-correlation function algorithm to localize direction of the sound source using phase delay information, for near sound field, we designed cross-correlation function with amplitude attenuation information algorithm to get exact two-dimension location information. According to the results of simulation we made our prototype and based on the test results we got our actual performance data.

KW - correlation function

KW - microphone array

KW - robot auditory

KW - robot sensor

KW - sound field analyze

KW - sound localization

UR - https://www.scopus.com/pages/publications/85050156399

U2 - 10.1109/ICIEA.2018.8397879

DO - 10.1109/ICIEA.2018.8397879

M3 - 会议稿件

AN - SCOPUS:85050156399

T3 - Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

SP - 1122

EP - 1127

BT - Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

Y2 - 31 May 2018 through 2 June 2018

ER -

Wang Z, Wang S , Wang X, Niu Y. Cross-correlation function based two-sensor auditory localization unit for chat robots. In Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1122-1127. (Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018). doi: 10.1109/ICIEA.2018.8397879

Cross-correlation function based two-sensor auditory localization unit for chat robots

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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