A steered response power iterative method for high-accuracy acoustic source localization

Martí, Amparo Pons; Cobos, Máximo; Lopez, Jose J.; Escolano, José

doi:10.1121/1.4820885

Cited by 54 publications

(58 citation statements)

References 8 publications

(5 reference statements)

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“…Number of grid points,Ñ , for the PUG structure for a various number of elevation grid points, N h , based on Eqs. (3) and (5 …”

Section: Proposed Generic Search Grid Generation Algorithmmentioning

confidence: 99%

“…[1][2][3][4][5][6][7][8][9] One way to classify SL algorithms is based on whether the location is derived directly from time difference of arrival (TDoA) or through a grid searching approach. TDoA-based SL schemes 1,2 provide fast localization, but search grid-based SL algorithms [3][4][5][6][7] yield better localization performance. To provide a feasible and robust solution, data-driven SL algorithms, utilizing deep neural networks (DNNs), have been recently introduced.…”

Section: Introductionmentioning

confidence: 99%

“…The majority of SL algorithms rely on uniform regular grid structures [3][4][5][6][7] because the grid generation process is simple. Nunes et al showed that the geometry of the microphone array is significantly correlated to the localization performance.…”

Section: Introductionmentioning

confidence: 99%

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Generic uniform search grid generation algorithm for far-field source localization

Lee

Chung

Kang

et al. 2018

The Journal of the Acoustical Society of America

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In this letter, a generic search grid generation algorithm for far-field source localization (SL) is proposed. Since conventional uniform regular grid structures only consider the resolution of the distribution, it is difficult to control the number of grid points to be distributed. The proposed algorithm generates a search grid by distributing a desired number of points evenly, depending on the target criterion, in either direction of arrival or time difference of arrival domain. The experimental results show that the proposed algorithm provides optimally distributed grid points given the number of desired points and the corresponding domain for SL processing.

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“…Number of grid points,Ñ , for the PUG structure for a various number of elevation grid points, N h , based on Eqs. (3) and (5 …”

Section: Proposed Generic Search Grid Generation Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Generic uniform search grid generation algorithm for far-field source localization

Lee

Chung

Kang

et al. 2018

The Journal of the Acoustical Society of America

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show abstract

“…An iterative approach of the M-SRP method was described in [95], where the M-SRP is initially evaluated using a coarse spatial grid. Then, the volume surrounding the point of highest value is iteratively decomposed by using a finer spatial grid.…”

Section: Modified Srp-phat (M-srp)mentioning

confidence: 99%

A Survey of Sound Source Localization Methods in Wireless Acoustic Sensor Networks

Cobos

Antonacci

Alexandridis

et al. 2017

Wireless Communications and Mobile Computing

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113

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Wireless acoustic sensor networks (WASNs) are formed by a distributed group of acoustic-sensing devices featuring audio playing and recording capabilities. Current mobile computing platforms offer great possibilities for the design of audio-related applications involving acoustic-sensing nodes. In this context, acoustic source localization is one of the application domains that have attracted the most attention of the research community along the last decades. In general terms, the localization of acoustic sources can be achieved by studying energy and temporal and/or directional features from the incoming sound at different microphones and using a suitable model that relates those features with the spatial location of the source (or sources) of interest. This paper reviews common approaches for source localization in WASNs that are focused on different types of acoustic features, namely, the energy of the incoming signals, their time of arrival (TOA) or time difference of arrival (TDOA), the direction of arrival (DOA), and the steered response power (SRP) resulting from combining multiple microphone signals. Additionally, we discuss methods not only aimed at localizing acoustic sources but also designed to locate the nodes themselves in the network. Finally, we discuss current challenges and frontiers in this field.

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“…Specifically, the well-known SRP-PHAT algorithm is considered here. Coarse-to-fine search strategies have been proposed to overcome many of the processing limitations of SRP-PHAT [123,124,125]. However, while these strategies provide more efficient ways to explore the localization search volume, they only provide better performance than the conventional SRP-PHAT when the number of operations is restricted.…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement of Multichannel Audio by Graphics Processing Units

Rodríguez¹

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Multichannel acoustic signal processing has undergone major development in recent years due to the increased complexity of current audio processing applications. People want to collaborate through communication with the feeling of being together and sharing the same environment, what is considered as Immersive Audio Schemes. In this phenomenon, several acoustic effects are involved: 3D spatial sound, room compensation, crosstalk cancelation, sound source localization, among others. However, high computing capacity is required to achieve any of these effects in a real large-scale system, what represents a considerable limitation for real-time applications.The increase of the computational capacity has been historically linked to the number of transistors in a chip. However, nowadays the improvements in the computational capacity are mainly given by increasing the number of processing units, i.e expanding parallelism in computing. This is the case of the Graphics Processing Units (GPUs), that own now thousands of computing cores. GPUs were traditionally related to graphic or image applications, but new releases in the GPU programming environments, CUDA or OpenCL, allowed that most applications were computationally accelerated in fields beyond graphics. This thesis aims to demonstrate that GPUs are totally valid tools to carry out audio applications that require high computational resources. To this end, different applications in the field of audio processing are studied and performed using GPUs. This manuscript also analyzes and solves possible limitations in each GPU-based implementation both from the acoustic point of view as from the computational point of view. In this document, we have addressed the following problems:Most of audio applications are based on massive filtering. Thus, the first implementation to undertake is a fundamental operation in the audio processing: the convolution. It has been first developed as a computational kernel and afterwards used for an application that combines multiples convolutions concurrently: generalized crosstalk cancellation and equalization. The proposed implementation can successfully manage two different and common situations: size of buffers that are much larger than the size of the filters and size of buffers that are much smaller than the size of the filters.Two spatial audio applications that use the GPU as a co-processor have iv Abstract been developed from the massive multichannel filtering. First application deals with binaural audio. Its main feature is that this application is able to synthesize sound sources in spatial positions that are not included in the database of HRTF and to generate smoothly movements of sound sources. Both features were designed after different tests (objective and subjective).The performance regarding number of sound source that could be rendered in real time was assessed on GPUs with different GPU architectures. A similar performance is measured in a Wave Field Synthesis system (second spatial audio application) that is comp...

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A steered response power iterative method for high-accuracy acoustic source localization

Cited by 54 publications

References 8 publications

Generic uniform search grid generation algorithm for far-field source localization

Generic uniform search grid generation algorithm for far-field source localization

A Survey of Sound Source Localization Methods in Wireless Acoustic Sensor Networks

Performance Improvement of Multichannel Audio by Graphics Processing Units

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