A Modified SRP-PHAT Functional for Robust Real-Time Sound Source Localization With Scalable Spatial Sampling

@article{Cobos2011AMS,
  title={A Modified SRP-PHAT Functional for Robust Real-Time Sound Source Localization With Scalable Spatial Sampling},
  author={Maximo Cobos and Amparo Marti and Jos{\'e} J. L{\'o}pez},
  journal={IEEE Signal Processing Letters},
  year={2011},
  volume={18},
  pages={71-74}
}
The Steered Response Power - Phase Transform (SRP-PHAT) algorithm has been shown to be one of the most robust sound source localization approaches operating in noisy and reverberant environments. However, its practical implementation is usually based on a costly fine grid-search procedure, making the computational cost of the method a real issue. In this letter, we introduce an effective strategy that extends the conventional SRP-PHAT functional with the aim of considering the volume… 

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References

SHOWING 1-10 OF 21 REFERENCES
A Fast Microphone Array SRP-PHAT Source Location Implementation using Coarse-To-Fine Region Contraction(CFRC)
  • Hoang Do, H. Silverman
  • Computer Science
    2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
  • 2007
TLDR
This paper introduces the use of coarse-to-fine region contraction (CFRC) to make computing the SRP practical, and shows that CFRC costs about the same as SRC overall, but requires only about 63% of SRC's cost under very noisy conditions.
Performance of real-time source-location estimators for a large-aperture microphone array
TLDR
It is found that many small features are required to make a useful location estimating algorithm work and work well in real-time, and the current LEMSalg is being used successfully in a representative environment where microphone SNRs are below 0 dB.
The Fusion of Distributed Microphone Arrays for Sound Localization
TLDR
The recently proposed sound localization technique, known as SRP-PHAT, is shown to be a special case of the more general microphone array integration mechanism presented here, which utilizes spatial likelihood functions produced by each microphone array and integrates them using a weighted addition of the individual SLFs.
Optimal microphone placement for source localization using time delay estimation
TLDR
It is shown that discrete TDOAs result in a non-uniformly distributed spatial resolution across the room furthermore it is shown how the sample frequency and the microphone distance effect the spatial resolution.
Time Delay Estimation in Room Acoustic Environments: An Overview
TLDR
A systematic overview of the state-of-the-art of time-delay-estimation algorithms ranging from the simple cross-correlation method to the advanced blind channel identification based techniques is presented.
Robust Localization in Reverberant Rooms
TLDR
This chapter summarizes the current field and comments on the general merits and shortcomings of each genre, and presents a new localization method that is significantly more robust to acoustical conditions, particularly reverberation effects, than the traditional localization techniques in use today.
The generalized correlation method for estimation of time delay
A maximum likelihood (ML) estimator is developed for determining time delay between signals received at two spatially separated sensors in the presence of uncorrelated noise. This ML estimator can be
Microphone Arrays - Signal Processing Techniques and Applications
TLDR
This paper presents a meta-modelling architecture for microphone Array Processing that automates the very labor-intensive and therefore time-heavy and expensive process of manually shaping Microphone Arrays for Speech Input in Automobiles.
A Novel Efficient Cluster-Based MLSE Equalizer for Satellite Communication Channels with-QAM Signaling
TLDR
A cluster-based sequence equalizer (CBSE) that takes advantage of the symmetries of the-ary quadrature amplitude modulation (-QAM) constellation and exhibits enhanced performance compared to other techniques, including the conventional linear transversal equalizer, Volterra equalizers, and RBF network equalizers.
A High-Accuracy, Low-Latency Technique for Talker Localization in Reverberant Environments Using Microphone Arrays
TLDR
He went on to Brown University in Providence, Rhode Island to study signal processing and began research on microphone arrays and received a Master of Science degree in Electrical Engineering in 1993 and continued to pursue his work towards a Doctor of Philosophy degree.
...
...