HRTF-based localization and separation of multiple sound sources

Martin Rothbucher; Marko Durkovic; Tim Habigt; Hao Shen; Klaus Diepold

doi:10.1109/ROMAN.2012.6343894

HRTF-based localization and separation of multiple sound sources

Martin Rothbucher, Marko Durkovic, Tim Habigt, Hao Shen, Klaus Diepold

Chair of Data Processing

Technical University of Munich

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

3 Scopus citations

Abstract

The human auditory system excels at pinpointing and distinguishing multiple sound sources in noisy and reverberant environments. Mobile robotic platforms implement such capabilities with varying success, classically solving localization and separation independently. This paper presents an algorithm utilizing Head-Related Transfer Function (HRTF) based localization to aid the task of separation. HRTFs for robotic binaural hearing represent the digital emulation of a human's innate direction-dependent filtering for solving the localization problem in a compact and robust manner. The overall result of the presented algorithm for robotic binaural hearing is an HRTF-based localization and separation system, capable of dynamically and intelligently processing simultaneously active sound sources.

Original language	English
Title of host publication	2012 IEEE RO-MAN
Subtitle of host publication	The 21st IEEE International Symposium on Robot and Human Interactive Communication
Pages	1092-1096
Number of pages	5
DOIs	https://doi.org/10.1109/ROMAN.2012.6343894
State	Published - 2012
Event	2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 - Paris, France Duration: 9 Sep 2012 → 13 Sep 2012

Publication series

Name	Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference	2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012
Country/Territory	France
City	Paris
Period	9/09/12 → 13/09/12

Access to Document

10.1109/ROMAN.2012.6343894

Cite this

Rothbucher, M., Durkovic, M., Habigt, T., Shen, H., & Diepold, K. (2012). HRTF-based localization and separation of multiple sound sources. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication (pp. 1092-1096). Article 6343894 (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). https://doi.org/10.1109/ROMAN.2012.6343894

@inproceedings{053ffbd640f74341bfeae983cd46da35,

title = "HRTF-based localization and separation of multiple sound sources",

abstract = "The human auditory system excels at pinpointing and distinguishing multiple sound sources in noisy and reverberant environments. Mobile robotic platforms implement such capabilities with varying success, classically solving localization and separation independently. This paper presents an algorithm utilizing Head-Related Transfer Function (HRTF) based localization to aid the task of separation. HRTFs for robotic binaural hearing represent the digital emulation of a human's innate direction-dependent filtering for solving the localization problem in a compact and robust manner. The overall result of the presented algorithm for robotic binaural hearing is an HRTF-based localization and separation system, capable of dynamically and intelligently processing simultaneously active sound sources.",

author = "Martin Rothbucher and Marko Durkovic and Tim Habigt and Hao Shen and Klaus Diepold",

year = "2012",

doi = "10.1109/ROMAN.2012.6343894",

language = "English",

isbn = "9781467346054",

series = "Proceedings - IEEE International Workshop on Robot and Human Interactive Communication",

pages = "1092--1096",

booktitle = "2012 IEEE RO-MAN",

note = "2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 ; Conference date: 09-09-2012 Through 13-09-2012",

}

Rothbucher, M, Durkovic, M, Habigt, T, Shen, H & Diepold, K 2012, HRTF-based localization and separation of multiple sound sources. in 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication., 6343894, Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, pp. 1092-1096, 2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012, Paris, France, 9/09/12. https://doi.org/10.1109/ROMAN.2012.6343894

HRTF-based localization and separation of multiple sound sources. / Rothbucher, Martin; Durkovic, Marko; Habigt, Tim et al.
2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. 2012. p. 1092-1096 6343894 (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication).

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

TY - GEN

T1 - HRTF-based localization and separation of multiple sound sources

AU - Rothbucher, Martin

AU - Durkovic, Marko

AU - Habigt, Tim

AU - Shen, Hao

AU - Diepold, Klaus

PY - 2012

Y1 - 2012

N2 - The human auditory system excels at pinpointing and distinguishing multiple sound sources in noisy and reverberant environments. Mobile robotic platforms implement such capabilities with varying success, classically solving localization and separation independently. This paper presents an algorithm utilizing Head-Related Transfer Function (HRTF) based localization to aid the task of separation. HRTFs for robotic binaural hearing represent the digital emulation of a human's innate direction-dependent filtering for solving the localization problem in a compact and robust manner. The overall result of the presented algorithm for robotic binaural hearing is an HRTF-based localization and separation system, capable of dynamically and intelligently processing simultaneously active sound sources.

AB - The human auditory system excels at pinpointing and distinguishing multiple sound sources in noisy and reverberant environments. Mobile robotic platforms implement such capabilities with varying success, classically solving localization and separation independently. This paper presents an algorithm utilizing Head-Related Transfer Function (HRTF) based localization to aid the task of separation. HRTFs for robotic binaural hearing represent the digital emulation of a human's innate direction-dependent filtering for solving the localization problem in a compact and robust manner. The overall result of the presented algorithm for robotic binaural hearing is an HRTF-based localization and separation system, capable of dynamically and intelligently processing simultaneously active sound sources.

UR - http://www.scopus.com/inward/record.url?scp=84870842008&partnerID=8YFLogxK

U2 - 10.1109/ROMAN.2012.6343894

DO - 10.1109/ROMAN.2012.6343894

M3 - Conference contribution

AN - SCOPUS:84870842008

SN - 9781467346054

T3 - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

SP - 1092

EP - 1096

BT - 2012 IEEE RO-MAN

T2 - 2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012

Y2 - 9 September 2012 through 13 September 2012

ER -

Rothbucher M, Durkovic M, Habigt T, Shen H, Diepold K. HRTF-based localization and separation of multiple sound sources. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. 2012. p. 1092-1096. 6343894. (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). doi: 10.1109/ROMAN.2012.6343894

HRTF-based localization and separation of multiple sound sources

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this