Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphone

Shankar, Nikhil; Bhat, Gautam Shreedhar; Panahi, Issa

doi:10.1109/embc44109.2020.9175212

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Hence, derivation of the CRLB is summarized as follows. Define the calibration scenario, that is, define c, s i , m j , s • k , m • l , x R , x t and ξ. Compute s k and m l , using the rigid motion in (1). Let x group x R , x t , and ξ. Compute all linearly independent r i,j,l , using (9), and group them into r m .…”

Section: Crlbmentioning

confidence: 99%

“…M ICROPHONE arrays can be employed to determine the space-time structure of an acoustic field. They have been used in many practical applications, including speech enhancement [1], sound source localization (SSL) [2], direction of arrival (DOA) estimation [3] and tracking [4]. The performance of these applications generally improves as the number of spatially distributed microphones being deployed increases.…”

Section: Introductionmentioning

confidence: 99%

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Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization

Kovalyov¹,

Patel²,

Panahi³

2021

IEEE Open J. Signal Process.

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This work presents a methodology for the joint calibration and synchronization of two arrays of microphones and loudspeakers. The problem is modeled as estimation of the rigid motion of one array with respect to the other, as well as estimation of the synchronization mismatch between the two. The proposed method uses dedicated signals emitted by the loudspeakers of the two arrays to compute a set of time of arrival (TOA) estimates. Through a simple transformation, estimated TOAs are converted into a set of linearly independent time difference of arrival (TDOA) measurements, which are modeled by a system of nonlinear equations in the unknown parameters of interest. A maximum likelihood estimate is then given as the solution to a nonlinear weighted least squares (NWLS) problem, which is optimized applying a parallelizable variant of Particle Swarm Optimization (PSO). In this paper, we also derive the Cramér-Rao lower bound (CRLB), and benchmark it against the proposed method in a series of Monte Carlo (MC) simulations. Results show that the proposed method attains high-performance comparable to the CRLB.

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Section: Crlbmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization

Kovalyov¹,

Patel²,

Panahi³

2021

IEEE Open J. Signal Process.

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show abstract

“…Tables I and II show the microphone and loudspeaker array geometries given to PA. For the sake of simplicity, SA geometry was set equal to that of PA. The position of SA with respect to PA was simulated by applying a 3D rotation and 3D translation to the LCS of SA as in (1). The 3D rotation matrix was defined, using Tait-Bryan representation, as…”

Section: A Calibration Scenariomentioning

confidence: 99%

Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers using Particle Swarm Optimization

Kovalyov¹

2021

Preprint

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This work presents a methodology for the joint calibration and synchronization of two arrays of microphones and loudspeakers. The problem is modeled as estimation of the rigid motion of one array with respect to the other, as well as estimation of the synchronization mismatch between the two. The proposed method uses dedicated signals emitted by the loudspeakers of the two arrays to compute a set of time of arrival (TOA) estimates. Through a simple transformation, estimated TOAs are converted into a set of linearly independent time difference of arrival (TDOA) measurements, which are modeled by a system of nonlinear equations in the unknown parameters of interest. A maximum likelihood estimate is then given as the solution to a nonlinear weighted least squares (NWLS) problem, which is optimized applying a parallelizable variant of Particle Swarm Optimization (PSO). In this paper, we also derive the Cramer-Rao lower bound (CRLB), and benchmark it against the proposed method in a series of Monte Carlo (MC) simulations. Results show that the proposed method attains high-performance comparable to the CRLB.

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“…Hence, the combined strategy has decreased the filter's bandwidth [5]. Moreover, this approach is chiefly utilized in bandwidth reduction functions [6]. However, numerous applications may demand a higher bandwidth than the fixed-length filter's performance [7].…”

Section: Introductionmentioning

confidence: 99%

VHDL based Design of an Efficient Hearing Aid Filter using an Intelligent Variable-Bandwidth-Filter

Rawandale¹,

Ganorkar²,

Kolte³

2023

IJACSA

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Filtering techniques have been elaborated in the HA field to improve signal clarity and enhance the hearing capacity of deaf people. However, public sounds are highly noisy, so filtering those signals is not an easy task. Hence, the present article has aimed to develop a novel Ant Lion based power Noise-Variable Bandwidth Filter (ALPN-VBF) for the HA applications. Here, the proposed optimized power efficient filter has incorporated several functions like de-noising and frequency tuning based on the word features. Here, the signal's noise has been removed with the maximum possible range with the help of High-pass-Filter (HPF) and low-pass filter (LPF). Finally, the developed model is tested with a few audiograms, and the filter parameters have been analyzed and compared with other models. The testing results have proved that the designed filter is better in frequency tuning and signal transmission than the previous approaches by attaining less delay and reduced power consumption rate.

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Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphone

Cited by 7 publications

References 14 publications

Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization

Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization

Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers using Particle Swarm Optimization

VHDL based Design of an Efficient Hearing Aid Filter using an Intelligent Variable-Bandwidth-Filter

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