Localization of Multiple Speakers under High Reverberation using a Spherical Microphone Array and the Direct-Path Dominance Test

Nadiri, O.; Rafaely, Boaz

doi:10.1109/taslp.2014.2337846

Cited by 181 publications

(226 citation statements)

References 23 publications

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“…In DPD the covariance matrix in (4) is approximated as the average covariance matrix over a local TF neighbourhood [5] …”

Section: Dpd-music For Multiple Sourcesmentioning

confidence: 99%

“…The two alternative approaches [5] to apply MUSIC on the outcome of DPD test are discussed next. 1) Incoherent DPD-MUSIC: In the first approach the MU-SIC spectra in (6) are simply summed over the selected TF bins (τ, k) ∈ Υ DP Dtest so that (10) where the set of N highest peaks in the final spectrum indicates the overall estimated DOAs.…”

Section: Dpd-music For Multiple Sourcesmentioning

confidence: 99%

“…DPD test had J τ = 4 and J k = 5 as the size of its averaging window in the TF domain in (7). We empirically chose the threshold in (9) as = 6 which also matches the recommended value in the original paper [5]. The MUSIC spectrum in (11) and (18) was calculated with 1°resolution across azimuth and inclination (360 × 181).…”

Section: Evaluationsmentioning

confidence: 99%

“…Also many bins contain no active sources. A number of methods have been proposed to identify those TF bins, referred to as SS-bins in this work, where only a SS is significantly present [5]- [8].…”

Section: Introductionmentioning

confidence: 99%

“…The state-of-the-art Direct Path Dominance (DPD)-MUSIC [5] uses DPD test as SS-bin detection and SS MUSIC as DOA estimator on the selected bins. The DPD test selects the bins in which direct path of a single source has significant dominance where the metric of dominance is measured as the Singular Value Ratio (SVR) between the two largest singular values of the signal subspace, and significance of dominance is defined by a threshold.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Multiple DOA estimation based on estimation consistency and spherical harmonic multiple signal classification

Hafezi

Moore

Naylor

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-A common approach to multiple Direction-ofArrival (DOA) estimation of speech sources is to identify TimeFrequency (TF) bins with dominant Single Source (SS) and apply DOA estimation such as Multiple Signal Classification (MUSIC) only on those TF bins. In the state-of-the-art Direct Path Dominance (DPD)-MUSIC, the covariance matrix, used as the input to MUSIC, is calculated using only the TF bins over a local TF region where only a SS is dominant. In this work, we propose an alternative approach to MUSIC in which all the SS-dominant TF bins for each speaker across TF domain are globally used to improve the quality of covariance matrix for MUSIC. Our recently proposed Multi-Source Estimation Consistency (MSEC) technique, which exploits the consistency of initial DOA estimates within a time frame based on adaptive clustering, is used to estimate the SS-dominant TF bins for each speaker. The simulation using spherical microphone array shows that our proposed MSEC-MUSIC significantly outperforms the state-of-the-art DPD-MUSIC with less than 6.5°mean estimation error and strong robustness to widely varying source separation for up to 5 sources in the presence of realistic reverberation and sensor noise.

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“…In DPD the covariance matrix in (4) is approximated as the average covariance matrix over a local TF neighbourhood [5] …”

Section: Dpd-music For Multiple Sourcesmentioning

confidence: 99%

Section: Dpd-music For Multiple Sourcesmentioning

confidence: 99%