scholarly journals Design Considerations When Accelerating an FPGA-Based Digital Microphone Array for Sound-Source Localization

2017 ◽  
Vol 2017 ◽  
pp. 1-20 ◽  
Author(s):  
Bruno da Silva ◽  
An Braeken ◽  
Kris Steenhaut ◽  
Abdellah Touhafi
Keyword(s):  
Real Time ◽  
Source Localization ◽  
Sound Source ◽  
Angular Resolution ◽  
Microphone Array ◽  
Sensor Arrays ◽  
Microphone Arrays ◽  
Sound Source Localization ◽  
Design Considerations ◽  
Acceleration Techniques

The use of microphone arrays for sound-source localization is a well-researched topic. The response of such sensor arrays is dependent on the quantity of microphones operating on the array. A higher number of microphones, however, increase the computational demand, making real-time response challenging. In this paper, we present a Filter-and-Sum based architecture and several acceleration techniques to provide accurate sound-source localization in real-time. Experiments demonstrate how an accurate sound-source localization is obtained in a couple of milliseconds, independently of the number of microphones. Finally, we also propose different strategies to further accelerate the sound-source localization while offering increased angular resolution.

Assessment of MUSIC-Based Noise-Robust Sound Source Localization with Active Frequency Range Filtering

2018 ◽  
Vol 30 (3) ◽  
pp. 426-435 ◽  
Author(s):  
Kotaro Hoshiba ◽  
Kazuhiro Nakadai ◽  
Makoto Kumon ◽  
Hiroshi G. Okuno ◽  
◽  
...  
Keyword(s):  
Real Time ◽  
Source Localization ◽  
Sound Source ◽  
Microphone Array ◽  
Sound Source Localization ◽  
Noise Robustness ◽  
Frequency Range ◽  
Real Time Processing ◽  
Time Processing ◽  
Localization Method

We have studied sound source localization, using a microphone array embedded on a UAV (unmanned aerial vehicle), for the purpose of detecting for people to rescue from disaster-stricken areas or other dangerous situations, and we have proposed sound source localization methods for use in outdoor environments. In these methods, noise robustness and real-time processing have a trade-off relationship, which is a problem to be solved for the practical application of the methods. Sound source localization in a disaster area requires both noise robustness and real-time processing. For this we propose a sound source localization method using an active frequency range filter based on the MUSIC (MUltiple Signal Classification) method. Our proposed method can successively create and apply a frequency range filter by simply using the four arithmetic operations, so it can ensure both noise robustness and real-time processing. As numerical simulations carried out to compare the successful localization rate and the processing delay with conventional methods have affirmed the usefulness of the proposed method, we have successfully produced a sound source localization method that has both noise robustness and real-time processing.

scholarly journals Real-Time Multiple Sound Source Localization and Counting Using a Circular Microphone Array

2013 ◽  
Vol 21 (10) ◽  
pp. 2193-2206 ◽  
Author(s):  
Despoina Pavlidi ◽  
Anthony Griffin ◽  
Matthieu Puigt ◽  
Athanasios Mouchtaris
Keyword(s):  
Real Time ◽  
Source Localization ◽  
Sound Source ◽  
Microphone Array ◽  
Sound Source Localization

scholarly journals DATASET FOR EVALUATION OF THE PERFORMANCE OF THE METHODS OF SOUND SOURCE LOCALIZATION ALGORITHMS USING TETRAHEDRAL MICROPHONE ARRAYS

2020 ◽  
Vol 12 (0) ◽  
pp. 1-8
Author(s):  
Saulius Sakavičius
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Microphone Array ◽  
Direction Of Arrival ◽  
Microphone Arrays ◽  
Sound Source Localization ◽  
Direction Of Arrival Estimation ◽  
Sound Sources ◽  
Localization Algorithms ◽  
Geometrical Information

For the development and evaluation of a sound source localization and separation methods, a concise audio dataset with complete geometrical information about the room, the positions of the sound sources, and the array of microphones is needed. Computer simulation of such audio and geometrical data often relies on simplifications and are sufficiently accurate only for a specific set of conditions. It is generally desired to evaluate algorithms on real-world data. For a three-dimensional sound source localization or direction of arrival estimation, a non-coplanar microphone array is needed.Simplest and most general type of non-coplanar array is a tetrahedral array. There is a lack of openly accessible realworld audio datasets obtained using such arrays. We present an audio dataset for the evaluation of sound source localization algorithms, which involve tetrahedral microphone arrays. The dataset is complete with the geometrical information of the room, the positions of the sound sources and the microphone array. Array audio data was captured for two tetrahedral microphone arrays with different distances between microphones and one or two active sound sources. The dataset is suitable for speech recognition and direction-of-arrival estimation, as the signals used for sound sources were speech signals.

scholarly journals Real-time Sound Source Localization on an Embedded GPU Using a Spherical Microphone Array

2015 ◽  
Vol 51 ◽  
pp. 201-210 ◽  
Author(s):  
Jose A. Belloch ◽  
Maximo Cobos ◽  
Alberto Gonzalez ◽  
Enrique S. Quintana-Ortí
Keyword(s):  
Real Time ◽  
Source Localization ◽  
Sound Source ◽  
Microphone Array ◽  
Sound Source Localization ◽  
Embedded Gpu
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