HOMULA-RIR: A Room Impulse Response Dataset for Teleconferencing and Spatial Audio Applications Acquired Through Higher-Order Microphones and Uniform Linear Microphone Arrays
arxiv(2024)
摘要
In this paper, we present HOMULA-RIR, a dataset of room impulse responses
(RIRs) acquired using both higher-order microphones (HOMs) and a uniform linear
array (ULA), in order to model a remote attendance teleconferencing scenario.
Specifically, measurements were performed in a seminar room, where a
64-microphone ULA was used as a multichannel audio acquisition system in the
proximity of the speakers, while HOMs were used to model 25 attendees actually
present in the seminar room. The HOMs cover a wide area of the room, making the
dataset suitable also for applications of virtual acoustics. Through the
measurement of the reverberation time and clarity index, and sample
applications such as source localization and separation, we demonstrate the
effectiveness of the HOMULA-RIR dataset.
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