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Online Localization of Multiple Moving Speakers in Reverberant Environments

Xiaofei Li 1 Bastien Mourgue 1 Laurent Girin 2 Sharon Gannot 3 Radu Horaud 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
Abstract : This paper addresses the problem of online multiple moving speakers localization in reverberant environments. The direct-path relative transfer function (DP-RTF), as defined by the ratio between the first taps of the convolutive transfer function (CTF) of two microphones, encodes the inter-channel direct-path information and is thus used as a localization feature being robust against reverberation. The CTF estimation is based on the cross-relation method. In this work, the recursive least-square method is proposed to solve the cross-relation problem, due to its relatively low computational cost and its good convergence rate. The DP-RTF feature estimated at each time-frequency bin is assumed to correspond to a single speaker. A complex Gaussian mixture model is used to assign each observed feature to one among several speakers. The recursive expectation-maximization algorithm is adopted to update online the model parameters. The method is evaluated with a new dataset containing multiple moving speakers, where the ground-truth speaker trajectories are recorded with a motion capture system.
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Submitted on : Friday, May 18, 2018 - 2:45:56 PM
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Xiaofei Li, Bastien Mourgue, Laurent Girin, Sharon Gannot, Radu Horaud. Online Localization of Multiple Moving Speakers in Reverberant Environments. 10th IEEE Workshop on Sensor Array and Multichannel Signal Processing (SAM 2018), Jul 2018, Sheffield, United Kingdom. pp.405-409, ⟨10.1109/SAM.2018.8448423⟩. ⟨hal-01795462⟩



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