scholarly journals Three-dimensional Sound Source Localization Using Inter-channel Time Difference Trajectory

10.5772/61652 ◽  
2015 ◽  
pp. 1 ◽  
Author(s):  
Lee Sangmoon ◽  
Youngjin Park ◽  
Youn-sik Park
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Three Dimensional ◽  
Time Difference ◽  
Sound Source Localization

scholarly journals Sound-Intensity-Dependent Compensation for the Small Interaural Time Difference Cue for Sound Source Localization

2008 ◽  
Vol 28 (28) ◽  
pp. 7153-7164 ◽  
Author(s):  
E. Nishino ◽  
R. Yamada ◽  
H. Kuba ◽  
H. Hioki ◽  
T. Furuta ◽  
...  
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Interaural Time Difference ◽  
Sound Intensity ◽  
Time Difference ◽  
Sound Source Localization

Tolerance to imbalanced interaural sound level of interaural time difference cue for the sound source localization in the chicken

2009 ◽  
Vol 65 ◽  
pp. S207
Author(s):  
Eri Nishino ◽  
Rei Yamada ◽  
Hiroshi Kuba ◽  
Harunori Ohmori
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Interaural Time Difference ◽  
Sound Level ◽  
Time Difference ◽  
Sound Source Localization

Characterization of Micromachined Seesaw Type Microphone

2013 ◽  
Author(s):  
Byungki Kim ◽  
Paul Phamduy
Keyword(s):  
Phase Difference ◽  
Relative Motion ◽  
Source Localization ◽  
Sound Source ◽  
Arrival Time ◽  
Time Difference ◽  
Sound Source Localization ◽  
Bending Mode ◽  
Flexible Diaphragm

A seesaw type microphone is characterized to study its feasibility for sound source localization. The microphone is composed of a flexible rectangular diaphragm sustained by two torsion-bars. With this structure, the microphone has two main dynamic modes: rocking mode from the twisting of the torsion bars and bending mode from the bending of the flexible diaphragm. Thus, the microphone’s motion is a combination of the two modes. Depending on the frequency of the incident sound and its arrival time difference at each side of the seesaw type microphone, relative motion of both sides of the seesaw type microphone is changed. By measuring relative amplitude and phase of the motion at each side of the microphone, arrival time difference of the sound source at each side can be estimated, and then, localization of the sound source is feasible. In this paper, we present that the microphone shows a significant vibration difference from each side when AC with 45° phase difference is applied to each side of the microphone to mimic the microphone receiving angled incoming sound.

scholarly journals A two-stage approach for passive sound source localization based on the SRP-PHAT algorithm

2020 ◽  
Vol 9 ◽  
Author(s):  
M.A. Awad-Alla ◽  
Ahmed Hamdy ◽  
Farid A. Tolbah ◽  
Moatasem A. Shahin ◽  
M.A. Abdelaziz
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Microphone Array ◽  
Search Space ◽  
Time Difference ◽  
Sound Source Localization ◽  
Time Difference Of Arrival ◽  
Error Coefficient ◽  
Viable Approach ◽  
Application Requirements

Abstract This paper presents a different approach to tackle the Sound Source Localization (SSL) problem apply on a compact microphone array that can be mounted on top of a small moving robot in an indoor environment. Sound source localization approaches can be categorized into the three main categories; Time Difference of Arrival (TDOA), high-resolution subspace-based methods, and steered beamformer-based methods. Each method has its limitations according to the search or application requirements. Steered beamformer-based method will be used in this paper because it has proven to be robust to ambient noise and reverberation to a certain extent. The most successful and used algorithm of this method is the SRP-PHAT algorithm. The main limitation of SRP-PHAT algorithm is the computational burden resulting from the search process, this limitation comes from searching among all possible candidate locations in the searching space for the location that maximizes a certain function. The aim of this paper is to develop a computationally viable approach to find the coordinate location of a sound source with acceptable accuracy. The proposed approach comprises two stages: the first stage contracts the search space by estimating the Direction of Arrival (DoA) vector from the time difference of arrival with an addition of reasonable error coefficient around the vector to make sure that the sound source locates inside the estimated region, the second stage is to apply the SRP-PHAT algorithm to search only in this contracted region for the source location. The AV16.3 corpus was used to evaluate the proposed approach, extensive experiments have been carried out to verify the reliability of the approach. The results showed that the proposed approach was successful in obtaining good results compared to the conventional SRP-PHAT algorithm.

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