Environment Classification via Blind Roomprints Estimation

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Sep 15, 2022
Malte Baum, Luca Cuccovillo, Artem Yaroshchuk, Patrick Aichroth
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In this paper we present a novel approach for environment classification for speech recordings, which does not require the selection of decaying reverberation tails. It is based on a multi-band RT60 analysis of blind channel estimates and achieves an accuracy of up to 93.6% on test recordings derived from the ACE corpus.

* To appear in: IEEE International Workshop on Information Forensics and Security (WIFS), December 12-16, 2022, Shanghai, China  
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