An evaluation of hardware-software design for sound source localization based on SoC

Sledevič, Tomyslav; Laptik, R.

doi:10.1109/estream.2017.7950312

Cited by 3 publications

(2 citation statements)

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“…The combination of FPGAs with hard-core processors can also be used for more computational intensive tasks. For instance, the authors in [62] propose the use of a SoC FPGA, which embed a hard-core processor, together with a microphone array composed of 4 elements to locate sound sources. While the FPGA part computes the cross-correlations between pairs of microphones to the GCC-TDOA, the hard-core processor estimates the 3D location of sound sources.…”

Section: Fpga-based Designs Of Tdoa-based Sound Locatorsmentioning

confidence: 99%

“…Besides such constraints, only a few designs fully embed all computations on the FPGA [34,65,69,72,84]. Furthermore, several architectures, such as those found in [62,73,74,93], have already considered SoC FPGAs to distribute the tasks between the different technologies. These heterogeneous platforms present new opportunities to combine acoustic applications with other types of applications.…”

Section: Performancementioning

confidence: 99%

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FPGA-Based Architectures for Acoustic Beamforming with Microphone Arrays: Trends, Challenges and Research Opportunities

2018

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Over the past decades, many systems composed of arrays of microphones have been developed to satisfy the quality demanded by acoustic applications. Such microphone arrays are sound acquisition systems composed of multiple microphones used to sample the sound field with spatial diversity. The relatively recent adoption of Field-Programmable Gate Arrays (FPGAs) to manage the audio data samples and to perform the signal processing operations such as filtering or beamforming has lead to customizable architectures able to satisfy the most demanding computational, power or performance acoustic applications. The presented work provides an overview of the current FPGA-based architectures and how FPGAs are exploited for different acoustic applications. Current trends on the use of this technology, pending challenges and open research opportunities on the use of FPGAs for acoustic applications using microphone arrays are presented and discussed.

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Section: Fpga-based Designs Of Tdoa-based Sound Locatorsmentioning

confidence: 99%