Abstract
Automatic speaker localization is an important task in several applications such as acoustic scene analysis, hands-free videoconferencing or speech enhancement. Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this work, we present the acoustic Person Tracking system developed at the UPC for the CLEAR’07 evaluation campaign. The designed system is able to track the estimated position of multiple speakers in a smart-room environment. Preliminary speaker locations are provided by the SRP-PHAT algorithm, which is known to perform robustly in most scenarios. Data association techniques based on trajectory prediction and spatizal clustering are used to match the raw positional estimates with potential speakers. These positional measurements are then finally spatially smoothed by means of Kalman filtering. Besides the technology description, experimental results obtained on the CLEAR’07 CHIL database are also reported.
This work has been partially sponsored by the EC-funded project CHIL (IST-2002-506909) and by the Spanish Government-funded project ACESCA (TIN2005-08852).
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Segura, C., Abad, A., Hernando, J., Nadeu, C. (2008). Multispeaker Localization and Tracking in Intelligent Environments. In: Stiefelhagen, R., Bowers, R., Fiscus, J. (eds) Multimodal Technologies for Perception of Humans. RT CLEAR 2007 2007. Lecture Notes in Computer Science, vol 4625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68585-2_6
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DOI: https://doi.org/10.1007/978-3-540-68585-2_6
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