Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments

Xiaofei Li 1 Yutong Ban 1 Laurent Girin 2, 1 Xavier Alameda-Pineda 1 Radu Horaud 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
GIPSA-DPC - Département Parole et Cognition
Abstract : We address the problem of online localization and tracking of multiple moving speakers in reverberant environ- ments. The paper has the following contributions. We use the direct-path relative transfer function (DP-RTF), an inter- channel feature that encodes acoustic information robust against reverberation, and we propose an online algorithm well suited for estimating DP-RTFs associated with moving audio sources. Another crucial ingredient of the proposed method is its ability to properly assign DP-RTFs to audio-source directions. Towards this goal, we adopt a maximum-likelihood formulation and we propose to use exponentiated gradient (EG) to efficiently update source-direction estimates starting from their currently available values. The problem of multiple speaker tracking is computationally intractable because the number of possible asso- ciations between observed source directions and physical speakers grows exponentially with time. We adopt a Bayesian framework and we propose a variational approximation of the posterior filtering distribution associated with multiple speaker tracking, as well as an efficient variational expectation maximization (VEM) solver. The proposed online localization and tracking method is thoroughly evaluated using two datasets that contain recordings performed in real environments.
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Submitted on : Friday, March 1, 2019 - 10:03:59 AM
Last modification on : Monday, April 15, 2019 - 2:43:51 PM


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Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud. Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2019, 13 (1), pp.88-103. ⟨10.1109/JSTSP.2019.2903472⟩. ⟨hal-01851985v2⟩



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