Coherence based dual microphone speech enhancement technique using FPGA

Biswas, Tanmay; Mandal, Sudhindu Bikash; Saha, Debasri; Chakrabarti, Amlan

doi:10.1016/j.micpro.2017.10.007

Cited by 1 publication

(1 citation statement)

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“…Although simple TDOA-based approaches use FPGAs as part of the sound locator systems [59,61], innovative designs like [60] consider the use of neural networks for acoustic applications. Their architecture embeds on an FPGA a Spike Neural Network (SNN) whose first layer computes the TDOA for each pair of microphones while the second layer evaluates the response for the beamed orientations.…”

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

confidence: 99%

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%