Low-Power Dual-Microphone Speech Enhancement Using Field Programmable Gate Arrays

This paper discusses two implementations of a dual-microphone phase-based speech enhancement technique. The implementations compared are based on a field-programmable gate array (FPGA) and a digital signal processor (DSP). The time-varying, frequency-dependent, phase-difference between each incoming...

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Veröffentlicht in:IEEE transactions on signal processing 2007-07, Vol.55 (7), p.3526-3535
Hauptverfasser: Halupka, D., Rabi, A.S., Aarabi, P., Sheikholeslami, A.
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container_issue 7
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container_title IEEE transactions on signal processing
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creator Halupka, D.
Rabi, A.S.
Aarabi, P.
Sheikholeslami, A.
description This paper discusses two implementations of a dual-microphone phase-based speech enhancement technique. The implementations compared are based on a field-programmable gate array (FPGA) and a digital signal processor (DSP). The time-varying, frequency-dependent, phase-difference between each incoming sound signal is used to mask each respective frequency, thereby reducing noise by minimizing the contributions of signal frequency components that have a low signal-to-noise ratio (SNR). Phase-based filtering can achieve high SNR gains with just two microphones, making it ideal for small devices that lack the room for a multimicrophone array. Moreover, these devices often have a limited battery life and lack the processing power needed for software-based speech enhancement. This paper presents an FPGA-based dual-microphone speech enhancement implementation, which was designed specifically for low-power operation. This implementation is compared with an off-the-shelf DSP implementation, with respect to processing capabilities and power utilization.
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The implementations compared are based on a field-programmable gate array (FPGA) and a digital signal processor (DSP). The time-varying, frequency-dependent, phase-difference between each incoming sound signal is used to mask each respective frequency, thereby reducing noise by minimizing the contributions of signal frequency components that have a low signal-to-noise ratio (SNR). Phase-based filtering can achieve high SNR gains with just two microphones, making it ideal for small devices that lack the room for a multimicrophone array. Moreover, these devices often have a limited battery life and lack the processing power needed for software-based speech enhancement. This paper presents an FPGA-based dual-microphone speech enhancement implementation, which was designed specifically for low-power operation. 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The implementations compared are based on a field-programmable gate array (FPGA) and a digital signal processor (DSP). The time-varying, frequency-dependent, phase-difference between each incoming sound signal is used to mask each respective frequency, thereby reducing noise by minimizing the contributions of signal frequency components that have a low signal-to-noise ratio (SNR). Phase-based filtering can achieve high SNR gains with just two microphones, making it ideal for small devices that lack the room for a multimicrophone array. Moreover, these devices often have a limited battery life and lack the processing power needed for software-based speech enhancement. This paper presents an FPGA-based dual-microphone speech enhancement implementation, which was designed specifically for low-power operation. 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subjects Acoustic noise
Applied sciences
Arrays
Detection, estimation, filtering, equalization, prediction
Devices
Digital signal processing
Digital signal processors
Exact sciences and technology
Field programmable gate arrays
field-programmable gate arrays (FPGAs)
Filtering
Frequency
Information, signal and communications theory
low-power systems
Microphone arrays
Microphones
Miscellaneous
Noise reduction
Phased arrays
Signal and communications theory
Signal processing
Signal to noise ratio
Signal, noise
sound localization
Speech
Speech enhancement
Speech processing
Telecommunications and information theory
title Low-Power Dual-Microphone Speech Enhancement Using Field Programmable Gate Arrays
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