Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization

Ribeiro, Flavio; Cha, Zhang; Florêncio, Dinei; Ba, D.E.

doi:10.1109/tasl.2010.2052250

Cited by 65 publications

(34 citation statements)

References 27 publications

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“…Using the same procedure, Wall 2 and Wall 3 are then also obtained. The reflective points P 2 and P 3 for Wall 2 and Wall 3 to an arbitrary microphone can be located as described in Table 1. Because P 2 and the real sound source location are on the same side of the confirmed Wall 1 , Wall 2 is confirmed to be a real wall of the room.…”

Section: Solve All the Confirmed Walls For Room Verticesmentioning

confidence: 99%

“…Room geometry information has wide applications in acoustic modelling, source localisation and separation, forensic applications, spatial sound reproduction and architectural design [1][2][3][4]. Room geometry estimation from corresponding Room Impulse Responses (RIRs) has attracted significant attention in recent years because the estimation of room geometry from acoustic measurements provides an alternative unobtrusive and inexpensive approach to physical measurement-based methods [5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Geometrical room geometry estimation from room impulse responses

Rajapaksha

Qiu

Cheng

et al. 2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Room geometry estimation from corresponding Room Impulse Responses (RIRs) has attracted much attention in recent years, and a key challenge is to find the first order image source locations from the RIRs under different environments. Unlike the existing approaches which require a priori knowledge of the room or require some ideal conditions, this paper proposes an intuitive geometrical method based on the acoustical image source model. The proposed approach does not need any a priori knowledge of the room, only the RIRs from one arbitrary source location to five arbitrary receiving locations. The first order image sources of the walls in a room are identified first, then the room geometry is estimated based on the wall locations using a geometrical approach. Simulations with 2D and 3D convex polyhedral rooms demonstrate the feasibility and the precision of the proposed approach is discussed.

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Section: Solve All the Confirmed Walls For Room Verticesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Geometrical room geometry estimation from room impulse responses

Rajapaksha

Qiu

Cheng

et al. 2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…One important application is room impulse response estimation and tracking [72], which is relevant in many problems including sound source localization [52], [145], sound field reproduction [19] and perception of 3d audio [157]. In this work, the application of initializing acoustic echo cancellation (AEC) filters [24] is considered.…”

Section: Room Impulse Response Estimation For Acoustic Echo Cancellationmentioning

confidence: 99%

Graphical model driven methods in adaptive system identification

Yellepeddi¹

2016

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Identifying and tracking an unknown linear system from observations of its inputs and outputs is a problem at the heart of many different applications. Due to the complexity and rapid variability of modern systems, there is extensive interest in solving the problem with as little data and computation as possible.This thesis introduces the novel approach of reducing problem dimension by exploiting statistical structure on the input. By modeling the input to the system of interest as a graph-structured random process, it is shown that a large parameter identification problem can be reduced into several smaller pieces, making the overall problem considerably simpler.Algorithms that can leverage this property in order to either improve the performance or reduce the computational complexity of the estimation problem are developed. The first of these, termed the graphical expectation-maximization least squares (GEM-LS) algorithm, can utilize the reduced dimensional problems induced by the structure to improve the accuracy of the system identification problem in the low sample regime over conventional methods for linear learning with limited data, including regularized least squares methods.Next, a relaxation of the GEM-LS algorithm termed the relaxed approximate graph structured least squares (RAGS-LS) algorithm is obtained that exploits structure to perform highly efficient estimation. The RAGS-LS algorithm is then recast into a recursive framework termed the relaxed approximate graph structured recursive least squares (RAGS-RLS) algorithm, which can be used to track time-varying linear systems with low complexity while achieving tracking performance comparable to much more computationally intensive methods.The performance of the algorithms developed in the thesis in applications such as channel identification, echo cancellation and adaptive equalization demonstrate that the gains admitted by the graph framework are realizable in practice. The methods have wide applicability, and in particular show promise as the estimation and adaptation algorithms for a new breed of fast, accurate underwater acoustic modems.The contributions of the thesis illustrate the power of graphical model structure in simplifying difficult learning problems, even when the target system is not directly structured.Thesis Supervisor: James C. Preisig Title: Scientist Emeritus, Woods Hole Oceanographic Institution AcknowledgmentsPiglet noticed that even though he had a Very Small Heart, it could hold a rather large amount of Gratitude. Winnie the PoohA.A.MilneMy years at MIT have been about so much more than a degree. In the past six years you have introduced to more worlds than I ever knew existed. As this long and wonderful journey ends, I find that my heart can, too, hold so much gratitude, for everything that you have given.Of course, I haven't said who "you" is, so here goes.It is impossible to write any list of acknowledgements without having at the very top my thesis advisor Dr. James Preisig, who has truly been a wide-angle lens f...

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“…One of the papers in 3D audio won one of the ICME best paper awards [19], and has lately been prolonged to appraise parameter compassion [17]. It improves the accuracy of 3D sound source localization (SSL) by up to one order of importance compared to the state of the technique [18], by using the advance evidence accessible on early reproductions. It outlines on a scarcity-motivated room shaping procedure [10] and on current significances onmaximum prospect SSL [20].…”

Section: Additionalcontemporaryinn Ovations In 3d Multimedia Technologymentioning

confidence: 99%

An Innovative Evolution on 3D Multimedia Technology

Muntjir¹,

Sorrah²

2015

IJCA

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ABSTRACT3 D multimedia provides an exclusive mix of multimedia and communication design process, design of 3D animation media and virtual reality, and 3D media connected with real and virtual studio and on-location multimedia evolution. It not only focuses on the practice and theory of the technical tools and techniques required for creating 3D,but also on the creative art and design aspects of digital media, collective real and virtual reality media through the creation of design and technology skills, understanding and knowledge. The introductory International Workshop on Hot Topics in 3D multimedia was held in Singapore, in July 2010, in association with the IEEE International Conference on Multimedia. This Conference was sponsored by four different IEEE societies; International Conference on Multimedia and Expo is the IEEE flagship conference on Multimedia Technology. Hot3D was an animated workshop participated, with a remarkable compilation of papers screening different aspects of 3D multimedia Technique. Therefore, this report assembles some of the consequences offered at the workshop that will be more effective in future.

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Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization

Cited by 65 publications

References 27 publications

Geometrical room geometry estimation from room impulse responses

Geometrical room geometry estimation from room impulse responses

Graphical model driven methods in adaptive system identification

An Innovative Evolution on 3D Multimedia Technology

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