Room Impulse Response Estimation in a Multiple Source Environment

In real-world acoustic scenarios, there often are multiple sound sources present in a room. These sources are situated in various locations and produce sounds that reach the listener from multiple directions. The presence of multiple sources in a room creates new challenges in estimating the room im...

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Bibliographic Details
Published in:arXiv.org 2023-05
Main Authors: Lee, Kyungyun, Seo, Jeonghun, Choi, Keunwoo, Lee, Sangmoon, Chon, Ben Sangbae
Format: Article
Language:English
Subjects:
Estimation
Impulse response
Sound sources
Online Access:Get full text
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Summary:In real-world acoustic scenarios, there often are multiple sound sources present in a room. These sources are situated in various locations and produce sounds that reach the listener from multiple directions. The presence of multiple sources in a room creates new challenges in estimating the room impulse response (RIR) as each source has a unique RIR, dependent on its location and orientation. Therefore, issues of determining which RIR should be predicted and how to predict it arise, when the input signal is a mixture of multiple reverberated sources. To address these, we propose a new task of predicting a "representative" RIR for a room in a multiple source environment and present a training method to achieve this goal. In contrast to the model trained in a single source environment, our method shows robust performance, regardless of the number of sources in the environment.
ISSN:2331-8422