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RevRIR: Joint Reverberant Speech and Room Impulse Response Embedding using Contrastive Learning with Application to Room Shape Classification
June 6, 2024, 4:44 a.m. | Jacob Bitterman, Daniel Levi, Hilel Hagai Diamandi, Sharon Gannot, Tal Rosenwein
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper focuses on room fingerprinting, a task involving the analysis of an audio recording to determine the specific volume and shape of the room in which it was captured. While it is relatively straightforward to determine the basic room parameters from the Room Impulse Responses (RIR), doing so from a speech signal is a cumbersome task. To address this challenge, we introduce a dual-encoder architecture that facilitates the estimation of room parameters directly from …
abstract analysis application arxiv audio classification cs.lg cs.sd eess.as embedding paper recording room shape speech type while
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