scholarly journals Penentuan Lokasi Sumber Suara Menggunakan Directional Microphone Array

2019 ◽  
Vol 5 (1) ◽  
pp. 65-73
Author(s):  
Annisa Firasanti ◽  
Putra Wisnu Agung Sucipto
Keyword(s):  
Cross Correlation ◽  
Microphone Array ◽  
Time Difference ◽  
Time Difference Of Arrival ◽  
Directional Microphone

Penentuan lokasi sumber akustik adalah teknik yang sangat penting yang dibutuhkan di banyak bidang aplikasi praktis seperti telekonferensi, keamanan, navigasi, dan lainnya. Microphone array adalah tiruan dan pengembangan dari proses pendengaran manusia dengan dua telinga. Dalam penelitian ini akan dilakukan proses penentuan lokasi sumber suara dengan salah satu metode yang umum digunakan dalam bidang ini yaitu mengukur Time Difference of Arrival (TDOA), dimana akan dilakukan cross-correlation dari informasi yang diterima oleh sepasang atau beberapa mikrofon. Setelah itu akan dilakukan estimasi untuk mencari nilai delay yang dapat memaksimalkan cross-correlationtersebut. Nilai tersebut kemudian akan diproses dari persamaan geometri yang dapat menghasilkan sudut sumber suara yang dihitung dari mikrofon acuan. Hasil penelitian sementara didapatkan bahwa suara yang mempunyai rentang frekuensi yang tinggi lebih mudah dideteksi daripada yang mempunyai frekuensi tunggal. Sudut yang terdeteksi mempunyai error rata-rata 2,78o dan MSE 2,776o. Kemudian jarak yang terdeteksi mempunyai selisih rata-rata 5,859 cm dan nilai MSE 5,71.

Algorithms for Acoustic Source Orientation Based on Microphone Array in Robot Audition

2013 ◽  
Vol 347-350 ◽  
pp. 922-926
Author(s):  
Ming Wang ◽  
Jian Hui Chen ◽  
Guang Long Wang ◽  
Feng Qi Gao ◽  
Ji Chen Li ◽  
...  
Keyword(s):  
Indoor Environment ◽  
Microphone Array ◽  
Time Difference ◽  
Acoustic Source ◽  
Time Difference Of Arrival ◽  
Orientation Process ◽  
Robot Audition ◽  
Three Stages ◽  
Source Orientation

Acoustic source orientation is an important feature in robot audition. This paper applied a spatial cone six-element (SCSE) microphone array and combined with the time difference of arrival (TDOA) between pairs of spatial separated microphones to estimate acoustic source orientation. Simulate three stages of the acoustic orientation process in a real indoor environment, and results show that the algorithm is simple and effective, reducing the amount of calculation, having anti-noise and reverberation ability to meet the requirements of orientation accuracy.

scholarly journals Evaluation of Time-Difference-of-Arrival Error of Acoustic Beacons Caused by Velocity of Microphone Array

2018 ◽  
Vol 1075 ◽  
pp. 012046 ◽  
Author(s):  
Satoki Ogiso ◽  
Koichi Mizutani ◽  
Naoto Wakatsuki ◽  
Tadashi Ebihara
Keyword(s):  
Microphone Array ◽  
Time Difference ◽  
Time Difference Of Arrival

Passive Acoustic Localization Based on MEMS Microphone Arrays

2015 ◽  
Vol 645-646 ◽  
pp. 517-521
Author(s):  
Xi Ming Dai ◽  
Wen Zhong Lou ◽  
Ming Ru Guo ◽  
Fu Fu Wang ◽  
Xin Jin
Keyword(s):  
Cross Correlation ◽  
Field Experiments ◽  
Microphone Array ◽  
Test System ◽  
Microphone Arrays ◽  
Time Difference Of Arrival ◽  
Practical Test ◽  
Acoustic Localization ◽  
Mems Microphone ◽  
Passive Acoustic

In this paper we used the MEMS microphone to detect the sound position. A four–microphone array was constructed to localize sound source with Time Difference of Arrival (TDoA) measurements based on hyperbola model. The time delay was calculated using Generalized Cross Correlation (GCC) algorithm. A practical test system was built to confirm the feasibility of the hyperbola model and GCC algorithm using MEMS microphone. Data were collected in field experiments and calculated on PC by matlab. The results show that the method instructed in this paper is feasible in localizing the sound position with MEMS microphone.

Reconstructing echolocation behavior using time difference of arrival localization and a distributed microphone array as a virtual Telemike.

2011 ◽  
Vol 129 (4) ◽  
pp. 2574-2574
Author(s):  
Jeffrey M. Knowles ◽  
Jason Gaudette ◽  
Jonathan R. Barchi ◽  
James A. Simmons
Keyword(s):  
Microphone Array ◽  
Time Difference ◽  
Time Difference Of Arrival

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.

scholarly journals A modified cross-correlation algorithm to achieve the time difference of arrival in sound source localization

2019 ◽  
Vol 52 (3-4) ◽  
pp. 212-221 ◽  
Author(s):  
Na Zhu ◽  
Tamim Reza
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Cross Correlation ◽  
Signal To Noise Ratio ◽  
Time Difference ◽  
Sound Source Localization ◽  
Time Data ◽  
Time Difference Of Arrival ◽  
Correlation Algorithm ◽  
Target Source

The accuracy in ranging and direction in locating a target source is crucial in sound source localization and different methods have been proposed due to important applications of sound source localization. One of the methods in sound source localization is triangulation with the time difference of arrival information. In this literature, a modified cross-correlation algorithm is introduced to increase the accuracy in time difference of arrival, thus further improving the sound source localization results. A numerical model is generated by assuming multiple sound sources broadcasting in room environment and the location of the target sound source is identified with the triangulation algorithm. Real-time data are produced through experimental setup using an array of four microphones with a target source and background noise. The signals are processed by modified cross-correlation and conventional cross-correlation for comparison. The impacts of the signal-to-noise ratio and time difference of arrival on sound source localization results are demonstrated and discussed. Experimental validation conducted in a non-ideal environment has shown that the modified cross-correlation algorithm can minimize the error in time difference of arrival to be used in sound source localization, thus improving the accuracy in both sound source ranging and direction.

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