Conference Paper

Faster Sound Source Localization and Tracking with Limited Computation Load

July 2012

Conference: The International Symposium on signal, Image, Video and Communications ISIVC
Volume: 6

Authors:

Serge Ibala

Association for Computing Machinery

C. A. Valderrama Sakuyama

University of Mons

ResearchGate has not been able to resolve any citations for this publication.

ResearchGate has not been able to resolve any references for this publication.

Conference Paper

Time difference calculation based on signal starting point detection

December 2015

The research of the high-precision sound source localization system which is based on time difference of arrival (TDOA) of different sensors positioning system has increasingly become popular research. The outcome of the traditional generalized cross-correlation function (GCC) time delay estimation algorithm which is under the condition of the intense noise, has an apparent error, therefore, we ... [Show full abstract] can't guarantee the accuracy of the positioning system. In this paper, we put forward a spectral entropy-double threshold endpoint detection algorithm, through obtaining the exactly starting time of source sound to get a time difference, then improving it. Experiments show that the algorithm has the characteristic of simple process, small amount of computation and accuracy. It is much suitable for DSP and small system time difference estimation module.

Article

A Novel Method of Binaural Sound Localization Based on Dominant Frequency Separation

October 2009

A novel method of binaural sound localization based on the dominant frequency separation is proposed. In this method, the ITD values is estimated by using the property for sound signals to keep their dominant frequency components unchanged in the frequency domain. To verify the validity of the suggested method, the test of the dominant frequency separation is made. Firstly, in frequency domain, ... [Show full abstract] the separation of the mixed signal of two signals is made by applying this method and the separated result is satisfactory. Secondly, the test of single sound source localization and that of two simultaneous sound sources localization are performed respectively under our test condition. The experimental results show that the proposed method is able to provide a valid estimation of sound source directions and offer less computational complexity.

Chapter

Psychoacoustic Sound Field Synthesis

January 2020

Tim Ziemer

Sound field synthesis approaches aim at creating a desired sound field. Conventionally, these approaches are physically-motivated. Acoustical properties define the desired sound field. A perceptual evaluations of the listening experience follows the technical implementation. Psychoacoustic sound field synthesis, as introduced in this chapter, has another paradigm. Here, psychoacoustical ... [Show full abstract] properties determine the desired sound field. This allows for implementation of auditory thresholds and integration times in the derivation of the sound field synthesis core. This allows for inaudible reduction of temporal, spatial, and spectral resolution. The result is a natural, spatial listening experience and a precise source localization for multiple listeners with comparably low computational efforts and inaudible synthesis errors.

Article

Microphone array speaker tracking using layered sampling particle filtering

January 2008

A new sound source localization and tracking method based on microphone array is presented for speaker tracking problem in noisy and reverberant environments. In the framework of particle filtering, the echo-free onset signal is extracted according to the echo-avoidance model of the precedence effect, and likelihood function is constructed by the output power of beamformer. Considering the ... [Show full abstract] effects of different frequency components on localization and tracking, layered sampling approach is used to improve the computational efficiency of particle filter. The results of simulation data and real data show that the proposed method can reliably track the speaker even in moderately reverberant rooms.

Article

Locating a sound source of unstable frequency by use of phase tracking

May 2001 · The Journal of the Acoustical Society of America

When the frequency of a cw source is known precisely, it is possible to relate the time rate‐of‐change of the measured phase to the time rate‐of‐change of the distance between source and receiver. However, when the source frequency is not known precisely, or when the source frequency is unstable, an unknown time dependence will remain after demodulation, causing the phase to appear to vary ... [Show full abstract] rapidly. Thus, the phase cannot be used to find the rate of separation of the source and receiver. By examining the difference between the phase measured by two independently moving receivers, it is possible to eliminate this unknown time dependence from the phase. In this talk, a source localization method based on this idea is presented and applied to data from a frequency‐unstable source (near 20 Hz) in a shallow‐water, low‐frequency acoustics experiment. [Work supported by ONR and the WHOI Education Office.]

Article

Robust tracking of moving sound source using multiple model Kalman filter

December 2008 · Applied Acoustics

In this paper a novel method for tracking an active speaker in a noisy and reverberant environment by means of a spatially distributed microphone array is presented. Firstly, a sound source localization algorithm based on time delays of arrival (TDOA) in microphone pairs provides observed position estimates. Then these remarkably noisy estimates are filtered by a multiple model Kalman filter ... [Show full abstract] (MMKF) in order to obtain a smoothed trajectory of the speaker’s movement. Compared with the traditional Kalman filter (KF), simulated results prove the MMKF is more robust and effective in noisy environments.

Conference Paper

Study of delay estimation in acoustic source localization based on microphone array

December 2015

In order to solve the problem that the precision and robust of basic cross-correlation(BCC) method in time delay estimation is poor, an improved time delay estimation algorithm based on generalized cross correlation is put forward and simulated to study the performance of the algorithms from the aspects of anti — noise and anti — reverberation robustness. Then, combined with the microphone array ... [Show full abstract] structure, sound source localization based on time delay estimation is achieved. The simulation results show the improved method has high accuracy and small computation of the source location in the case of noise and reverberation, which can be used for sound source localization.

Conference Paper

Full-text available

Sound source localization based on zero-crosing peak-amplitude coding

October 2004

This paper presents a new method of sound source lo-calization based on zero-crossings generated from binau-ral filter-bank outputs. To detect the sound source direc-tion, in the conventional methods the inter-aural time dif-ferences (ITDs) and the inter-aural intensity differences (IIDs) are estimated using the cross-correlations of neu-ronal firing rates. However, these methods require high ... [Show full abstract] computational complexity involved in the computation of cross-correlations and they suffer from inaccuracies in es-timating the ITDs and IIDs, especially in a noisy multi-source environment. In this context, we propose a method using zero-crossing and peak-amplitudes (ZCPAs) of bin-aural filter-bank outputs for accurate and efficient estima-tion of ITDs and IIDs. The proposed method is able to provide accurate estimation of the sound source direction and robustness to noise while offering significantly less computational complexity compared to cross-correlation based methods.

View full-text

Conference Paper

Full-text available

Analysis of sound source localization and tracking for the @home service robot in multiple distances

January 2020

View full-text

Article

A new method for efficient subspace tracking in array signal processing

July 2012 · AUSTRALIAN JOURNAL OF BASIC AND APPLIED SCIENCES

Eigen-decomposition of data into signal and noise subspaces plays an important role in subspace based methods. Conventional methods of eigen-decomposition have high computational complexity so that they are not applicable for many real-time applications such as radar and sonar. In this paper, we review available algorithms for reducing computational complexity, and then we present a new algorithm ... [Show full abstract] for reducing computational complexity of signal subspace tracking.

Article

Performance comparison between steered response power and generalized cross correlation in microphon...

May 2018

Acoustic-based source localization is being widely developed in target localization due to its advantages, compared to visual-based localization. There are several techniques for acoustic source localization, including time difference of arrival and beamforming. Methods related to those two techniques are GCC-PHAT and SRP-PHAT. GCCPHAT is related to time difference of arrival, while SRP-PHAT is ... [Show full abstract] related to beamforming. In this paper, a comparison of GCC-PHAT and SRP-PHAT methods for acoustic source localization is introduced in order to determine the accuracy and response in speed for acoustic source localization applications. The results obtained from several experiments shows the performance comparison in terms of accuracies and computational times between the two approaches.

Conference Paper

A note on the modified and mean-based steered-response power functionals for source localization in...

May 2014

Maximo Cobos

One of the most important applications of microphone arrays is the localization of one or multiple speakers in reverberant and/or noisy scenarios. The steered-response power (SRP) method, which searches for the maximum accumulated power by following a grid search procedure, is one of the leading algorithms for performing this task. However, the computational requirements of this algorithm are ... [Show full abstract] strongly increased when using many microphones or very fine spatial grids. The modified SRP (M-SRP) was proposed to tackle this problem, improving the performance of the original method when coarser spatial resolutions are considered. Recently, a mean-based variant of the M-SRP (MM-SRP) and an iterative search procedure were also introduced, allowing for higher accuracy with an additional reduction in the number of functional evaluations. This paper discusses further the differences among all these functionals, providing deeper insight into their motivation and performance in adverse acoustic environments.

Faster Sound Source Localization and Tracking with Limited Computation Load

No full-text available

Recommended publications

Time difference calculation based on signal starting point detection

A Novel Method of Binaural Sound Localization Based on Dominant Frequency Separation

Psychoacoustic Sound Field Synthesis

Microphone array speaker tracking using layered sampling particle filtering

Locating a sound source of unstable frequency by use of phase tracking

Robust tracking of moving sound source using multiple model Kalman filter

Study of delay estimation in acoustic source localization based on microphone array

Sound source localization based on zero-crosing peak-amplitude coding

Analysis of sound source localization and tracking for the @home service robot in multiple distances

A new method for efficient subspace tracking in array signal processing

Performance comparison between steered response power and generalized cross correlation in microphon...

A note on the modified and mean-based steered-response power functionals for source localization in...