Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization
Brendel A, Laufer-Goldshtein B, Gannot S, Talmon R, Kellermann W (2019)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2019
Event location: Brighton
DOI: 10.1109/icassp.2019.8683640
Abstract
This paper investigates localization of an arbitrary number of simultaneously active speakers in an acoustic enclosure. We propose an algorithm capable of estimating the number of speakers, using reliability information to obtain robust estimation results in adverse acoustic scenarios and estimating individual probability distributions describing the position of each speaker using convex geometry tools.
To this end, we start from an established algorithm for localization of acoustic sources based on the EM algorithm. There, the estimation of the number of sources as well as the handling of reverberation
has not been addressed sufficiently. We show improvement in the localization of a higher number of sources and in the robustness in adverse conditions including interference from competing speakers, reverberation and noise.
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Israel (IL)How to cite
APA:
Brendel, A., Laufer-Goldshtein, B., Gannot, S., Talmon, R., & Kellermann, W. (2019). Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization. In Proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP). Brighton, GB.
MLA:
Brendel, Andreas, et al. "Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization." Proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Brighton 2019.
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