Robust Room Impulse Response Measurement Using Perfect Periodic Sequences for Wiener Nonlinear Filters

Carini, Alberto; Cecchi, Stefania; Orcioni, Simone

doi:10.3390/electronics9111793

Cited by 10 publications

(9 citation statements)

References 35 publications

(65 reference statements)

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“…Since the robust measurement of the RIR in presence of nonlinearities with memory is an open and challenging problem, the authors and colleagues started researching possible solutions. A first approach was proposed in [44]- [47]. The approach is based on modeling the entire measurement system with an orthogonal nonlinear filter, a Legendre nonlinear (LN) filter in [44], [45] or a Wiener nonlinear (WN) filter in [46], [47].…”

Section: Introductionmentioning

confidence: 99%

“…A first approach was proposed in [44]- [47]. The approach is based on modeling the entire measurement system with an orthogonal nonlinear filter, a Legendre nonlinear (LN) filter in [44], [45] or a Wiener nonlinear (WN) filter in [46], [47]. The first-order kernel of this system is then identified using a PPS for nonlinear filters using again the cross-correlation method.…”

Section: Introductionmentioning

confidence: 99%

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A Room Impulse Response Measurement Method Robust Towards Nonlinearities Based on Orthogonal Periodic Sequences

Carini¹,

Cecchi²,

Terenzi³

et al. 2021

IEEE/ACM Trans. Audio Speech Lang. Process.

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An open problem in room impulse response (RIR) measurement is the effect of nonlinearities, especially those with memory, present in the measurement system, specifically in the power amplifier and in the loudspeaker. The nonlinearities can corrupt the measurement introducing artifacts. The paper discusses a RIR measurement method that is robust towards these nonlinearities. The proposed methodology allows measuring the RIR using the cross-correlation method, i.e., computing the cross-correlation between the output signal and an appropriate sequence. In contrast to other cross-correlation based methods, the proposed approach directly estimates the first-order kernel of the Volterra filter modeling the measurement systems, i.e., the system impulse response for small signals. The proposed approach exploits the concepts of orthogonal periodic sequences, recently proposed in the literature. The input signal can be any periodic persistently exciting sequence and can also be a quantized sequence. Measurements performed both on an emulated scenario and in real environments illustrate the validity of the approach and compare it with other competing RIR measurement methods.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Room Impulse Response Measurement Method Robust Towards Nonlinearities Based on Orthogonal Periodic Sequences

Carini¹,

Cecchi²,

Terenzi³

et al. 2021

IEEE/ACM Trans. Audio Speech Lang. Process.

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“…The complexity of application of (5) is in the practical difficulty of RIR determination. Acoustic measurements [ 18 ] or mathematical methods can be used to solve this problem. The image model method, first proposed in [ 19 ], is the most widespread among the latter.…”

Section: Methodsmentioning

confidence: 99%

Study of Generalized Phase Spectrum Time Delay Estimation Method for Source Positioning in Small Room Acoustic Environment

Faerman

Avramchuk

Voevodin

et al. 2022

Sensors

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This paper considers the application of signal processing methods to passive indoor positioning with acoustics microphones. The key aspect of this problem is time-delay estimation (TDE) that is used to get the time difference of arrival of the source’s signal between the pair of distributed microphones. This paper studies the approach based on generalized phase spectrum (GPS) TDE methods. These methods use frequency-domain information about the received signals that make them different from widely applied generalized cross-correlation (GCC) methods. Despite the more challenging implementation, GPS TDE methods can be less demanding on computational resources and memory than conventional GCC ones. We propose an algorithmic implementation of a GPS estimator and study the various frequency weighting options in applications to TDE in a small room acoustic environment. The study shows that the GPS method is a reliable option for small acoustically dead rooms and could be effectively applied in presence of moderate in-band noises. However, GPS estimators are far less efficient in less acoustically dead environments, where other TDE options should be considered. The distinguishing feature of the proposed solution is the ability to get the time delay using a limited number of the adjusted bins. The solution could be useful for passively locating moving emitters of narrow-band continual noises using computationally simple frequency detection algorithms.

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“…Together with the already-mentioned nonlinear distortions introduced by the electro-acoustic system, the measurement is influenced by the characteristics of the sound sources, especially in near-field measurements [ 2 ], and environmental disorders, such as external noise, sound reflections, and temperature changes [ 31 ]. The use of a controlled environment, such as an anechoic chamber, can avoid some of these problems, e.g., noise, reflections, and temperature changes, while the nonlinear distortions can be prevented by choosing an effective measurement method and stimuli [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

HRTFs Measurement Based on Periodic Sequences Robust towards Nonlinearities in Automotive Audio

Cecchi

Bruschi

Nobili

et al. 2023

Sensors

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The head related transfer functions (HRTFs) represent the acoustic path transfer functions between sound sources in 3D space and the listener’s ear. They are used to create immersive audio scenarios or to subjectively evaluate sound systems according to a human-centric point of view. Cars are nowadays the most popular audio listening environment and the use of HRTFs in automotive audio has recently attracted the attention of researchers. In this context, the paper proposes a measurement method for HRTFs based on perfect or orthogonal periodic sequences. The proposed measurement method ensures robustness towards the nonlinearities that may affect the measurement system. The experimental results considering both an emulated scenario and real measurements in a controlled environment illustrate the effectiveness of the approach and compare the proposed method with other popular approaches.

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Robust Room Impulse Response Measurement Using Perfect Periodic Sequences for Wiener Nonlinear Filters

Cited by 10 publications

References 35 publications

A Room Impulse Response Measurement Method Robust Towards Nonlinearities Based on Orthogonal Periodic Sequences

A Room Impulse Response Measurement Method Robust Towards Nonlinearities Based on Orthogonal Periodic Sequences

Study of Generalized Phase Spectrum Time Delay Estimation Method for Source Positioning in Small Room Acoustic Environment

HRTFs Measurement Based on Periodic Sequences Robust towards Nonlinearities in Automotive Audio

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