Enhanced spatial analysis of room acoustics using acoustic multiple-input multiple-output (MIMO) systems

Morgenstern, Hai; Rafaely, Boaz

doi:10.1121/1.4798988

Cited by 7 publications

(8 citation statements)

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“…To localize the source, two different parameters can be used: the sound time of arrivals (TOAs) (or similarly time difference of arrivals (TDOAs) between two different microphones) which can be estimated by the generalized crosscorrelation with phase transform (GCC-PHAT) method [1] This work was supported in the UK by the Engineering and Physical Sciences Research Council (EPSRC) Grants EP/K014307/1 and EP/L000539/1, and the MOD University Defence Research Collaboration in Signal Processing. [2], and the direction of arrivals (DOAs) through the spatial method proposed in [3]. The reflector position can be estimated by exploiting the knowledge of a single RIR [4,5] or using multiple channel systems [6].…”

Section: Introductionmentioning

confidence: 99%

A 3D model for room boundary estimation

Remaggi

Jackson

Wang

et al. 2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Estimating the geometric properties of an indoor environment through acoustic room impulse responses (RIRs) is useful in various applications, e.g., source separation, simultaneous localization and mapping, and spatial audio. Previously, we developed an algorithm to estimate the reflector's position by exploiting ellipses as projection of 3D spaces. In this article, we present a model for full 3D reconstruction of environments. More specifically, the three components of the previous method, respectively, MUSIC for direction of arrival (DOA) estimation, numerical search adopted for reflector estimation and the Hough transform to refine the results, are extended for 3D spaces. A variation is also proposed using RANSAC instead of the numerical search and the Hough transform wich significantly reduces the run time. Both methods are tested on simulated and measured RIR data. The proposed methods perform better than the baseline, reducing the estimation error.

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Section: Introductionmentioning

confidence: 99%

A 3D model for room boundary estimation

Remaggi

Jackson

Wang

et al. 2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Just a short summary is presented here. For details it is referred to the most recent publications [19][20][21][22][23][24][25][26][27][28][29] .…”

Section: Short Summary Of the Ongoing Researchmentioning

confidence: 99%

“…This requires detailed statistical analysis of the whole electroacoustic chain and the conditions in the room. The development of optimal spherical array processing algorithms with improved spatial analysis and enhancement is utilized for the integration of signal information into sound-field and HRTF data in the spherical harmonic (SH) domain 24 . Other subprojects contribute databases of measured sound fields, and this way an efficient sampling and realization of array systems leads to a better analysis of measured sound fields.…”

Section: Short Summary Of the Ongoing Researchmentioning

confidence: 99%

Simulation and Evaluation of Acoustic Environments

Vorländer

2014

Building Acoustics

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Humans experience their environment in various working, educational and living situations and in concert halls and opera houses. Whether the environment is considered acoustically appropriate or not depends on many factors. The research unit SEACEN is currently working on a coordinated effort to improve the complete signal chain from the numerical modelling, the data acquisition within numerical or real sound fields, the coding and transmission to the electro-acoustic reproduction by binaural technology or by sound field synthesis. A novel approach for the comparative evaluation of real and simulated environments will also enable the evaluation of the plausibility and/or the authenticity of virtual acoustic environments and a contribution to the development of better physical metrics to predict the qualities of concert halls and opera houses. These activities are relevant not only for concert hall acoustics but for acoustic spaces in general. The activities of SEACEN are summarized. The benefit from having these projects coordinated in a consortium is in the connection between all projects through perception studies and knowledge and data transfer between the groups. The commonly used factors in ISO 3382-like applications in classical room acoustics for concert hall design and consulting will be re-visited, and an extended parameter set will lead to progress in coding and reproduction of 3D sound fields in general. It is hoped that in the end room acoustics and audio engineering will benefit from this cooperation.

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“…This paper proposes a new method for MIMO systems, referred to as 'modal smoothing', in which smoothing over the channels, or spherical harmonic (SH) modes of the loudspeaker array, is performed with the aim of overcoming the shortcoming of previous methods, as detailed above. Preliminary results of this method were presented [17], showing that it also operates well when time separation of reflections is unavailable. This paper extends the results of Ref.…”

Section: Introductionmentioning

confidence: 99%

Modal smoothing for analysis of room reflections measured with spherical microphone and loudspeaker arrays

Morgenstern

Rafaely

2018

The Journal of the Acoustical Society of America

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Spatial analysis of room acoustics is an ongoing research topic. Microphone arrays have been employed for spatial analyses with an important objective being the estimation of the direction-of-arrival (DOA) of direct sound and early room reflections using room impulse responses (RIRs). An optimal method for DOA estimation is the multiple signal classification algorithm. When RIRs are considered, this method typically fails due to the correlation of room reflections, which leads to rank deficiency of the cross-spectrum matrix. Preprocessing methods for rank restoration, which may involve averaging over frequency, for example, have been proposed exclusively for spherical arrays. However, these methods fail in the case of reflections with equal time delays, which may arise in practice and could be of interest. In this paper, a method is proposed for systems that combine a spherical microphone array and a spherical loudspeaker array, referred to as multiple-input multiple-output systems. This method, referred to as modal smoothing, exploits the additional spatial diversity for rank restoration and succeeds where previous methods fail, as demonstrated in a simulation study. Finally, combining modal smoothing with a preprocessing method is proposed in order to increase the number of DOAs that can be estimated using low-order spherical loudspeaker arrays.

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Enhanced spatial analysis of room acoustics using acoustic multiple-input multiple-output (MIMO) systems

Cited by 7 publications

References 0 publications

A 3D model for room boundary estimation

A 3D model for room boundary estimation

Simulation and Evaluation of Acoustic Environments

Modal smoothing for analysis of room reflections measured with spherical microphone and loudspeaker arrays

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