This paper compares three state-of-the-art stimuli (multitone-pink, MLS, and log-sweep) to simultaneously deconvolve the impulse responses from several loudspeakers. A hyperparameter optimization algorithm constructs the stimulus, where the algorithm optimizes the stimulus parameters by minimizing a time domain error between the actual impulse responses and the simultaneously deconvolved responses over a training dataset. Objective results are presented for the various stimuli in a test data set that demonstrate the efficacy of each stimulus in the context of simultaneous deconvolution.

Authors: Bharitkar, Sunil; Souza Blanes, Ema; Brunet, Pascal
Affiliations: Samsung Research America; Samsung Research America; Samsung Electronics(See document for exact affiliation information.)
Express Paper 167; AES Convention 155; October 2023
Publication Date: October 25, 2023 Import into BibTeX
Subject: Room Acoustics
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=22321

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