International Conference on NOise and Vibration Emerging Methods (NOVEM) 2018, pp.1-9
Language
English
Type
Conference Paper
Abstract
The sound source localization using multiple microphones attached on the wearable glasses is investigated for the recognition of the location of the alarming sounds or voices. The sound signals are measured by small size MEMS microphones attached on the glasses placed on a mannequin, and the sound source location such as a distance from the sound source as well as the azimuthal angle is obtained and analyzed by steered response power with the phase transform (SRP-PHAT) and the probabilistic Gaussian mixture model (GMM) algorithm based on the time difference of arrival between the microphone pairs. The estimation accuracies of the azimuthal angle and the distance from the sound source are evaluated and analysed with both GMM and SRP-PHAT methods. We found that GMM method is better than SRP-PHAT for sound source localization, and the distance as well as the azimuthal angle can be well estimated by both the simulation and experimental work. This technology can be applied to the safety assistance service for the handicapped persons in the recognition of the environmental alarming sounds.
The materials provided on this website are subject to copyrights owned by ETRI and protected by the Copyright Act. Any reproduction, modification, or distribution, in whole or in part, requires the prior explicit approval of ETRI. However, under Article 24.2 of the Copyright Act, the materials may be freely used provided the user complies with the following terms:
The materials to be used must have attached a Korea Open Government License (KOGL) Type 4 symbol, which is similar to CC-BY-NC-ND (Creative Commons Attribution Non-Commercial No Derivatives License). Users are free to use the materials only for non-commercial purposes, provided that original works are properly cited and that no alterations, modifications, or changes to such works is made. This website may contain materials for which ETRI does not hold full copyright or for which ETRI shares copyright in conjunction with other third parties. Without explicit permission, any use of such materials without KOGL indication is strictly prohibited and will constitute an infringement of the copyright of ETRI or of the relevant copyright holders.
J. Kim et. al, "Trends in Lightweight Kernel for Many core Based High-Performance Computing", Electronics and Telecommunications Trends. Vol. 32, No. 4, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
J. Sim et.al, “the Fourth Industrial Revolution and ICT – IDX Strategy for leading the Fourth Industrial Revolution”, ETRI Insight, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
If you have any questions or concerns about these terms of use, or if you would like to request permission to use any material on this website, please feel free to contact us
KOGL Type 4:(Source Indication + Commercial Use Prohibition+Change Prohibition)
Contact ETRI, Research Information Service Section
Privacy Policy
ETRI KSP Privacy Policy
ETRI does not collect personal information from external users who access our Knowledge Sharing Platform (KSP). Unathorized automated collection of researcher information from our platform without ETRI's consent is strictly prohibited.
[Researcher Information Disclosure] ETRI publicly shares specific researcher information related to research outcomes, including the researcher's name, department, work email, and work phone number.
※ ETRI does not share employee photographs with external users without the explicit consent of the researcher. If a researcher provides consent, their photograph may be displayed on the KSP.