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- W4311592150 abstract "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 93.8% on test recordings derived from the ACE corpus." @default.
- W4311592150 created "2022-12-27" @default.
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- W4311592150 date "2022-12-12" @default.
- W4311592150 modified "2023-09-27" @default.
- W4311592150 title "Environment Classification via Blind Roomprints Estimation" @default.
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- W4311592150 doi "https://doi.org/10.1109/wifs55849.2022.9975411" @default.
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